The Top Digital Transformation Trends For 2019

The Top Digital Transformation Trends For 2019

Digital transformation involves both an organizational shift where people, technology, and business meet and technological change. In this article, we outline some of the most important trends in...

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How your phone data saves London’s transport from chaos

How your phone data saves London’s transport from chaos

John Anstey wasn’t on duty the night of June 3, 2017, when terrorists drove a van along the pavement of London Bridge, before embarking on a stabbing rampage throughout neighbouring Borough...

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3 Reasons Not to Use Blockchain Within Your Organisation

3 Reasons Not to Use Blockchain Within Your Organisation

For the past years, blockchain has been a huge buzzword. Especially after the crypto hype of 2017, organisations were convinced that they had to do something with blockchain. If only it was changing your company name to include blockchain in it. Although we have are in a bear crypto market, blockchain remains a buzzword.

It reminds me of 5 or 6 years ago, when big data was the buzzword of the days. Back then, every organisation thought they had to do something with big data, but they had no idea. There was even a famous slide stating: “Big Data is like teenage sex; everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…� Fast-forward five years and big data is no longer a buzzword, but big data has become a pre-requisite to understand the environment and remain competitive. Big data analytics can be used in every part of your organisation.

Blockchain is different. Blockchain has the potential to fundamentally change industries. Every organisation can benefit from blockchain. However, blockchain cannot be used in every process or situation. Blockchain is useful in situations when there is a trust ...


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Companies are Yet Far Enough to Adopt Data Analytics

Companies are Yet Far Enough to Adopt Data Analytics

As indicated by the study, there are profound gaps between what companies need to execute and what they have really achieved with modern data sharing and advanced analytics. Generally, just a little...

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IoT promotes healthier life styles among users of wearables

IoT promotes healthier life styles among users of wearables

The Internet of Things (IoT) is a complex concept that refers to the connection and integration of devices with the Internet, and the analysis of information collected from these devices. Data are...

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Google’s New AI Is a Master of Games, but How Does It Compare to the Human Mind?

Google’s New AI Is a Master of Games, but How Does It Compare to the Human Mind?

For humans, chess may take a lifetime to master. But Google DeepMind’s new artificial intelligence program, AlphaZero, can teach itself to conquer the board in a matter of hours. Building on its past...

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A Look at the Most Used Terminology Around Artificial Intelligence

A Look at the Most Used Terminology Around Artificial Intelligence

Artificial Intelligence (AI), once only present in science fiction, is now a science reality manifesting itself in every industry. It raises questions that make us wonder about how we should explore...

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Untangling content and product marketing

Untangling content and product marketing

As the discipline of content marketing matures I’ve had an increasing number of questions about it’s relationship to product marketing. The question arises in many forms. Do product and content marketers do the same job? Should every product marketer be a content marketer? Does product marketing need to exist any more? Do great product marketers need content marketing at all? Should content marketing report to product marketing?

I believe that product and content marketing are different disciplines. In fact, product marketing hasn’t really changed since the introduction of content marketing.  Rather, content marketing filled a gap product marketers were rarely able to fill.

Product marketing has always been focused on planning for and supporting, company growth through clear differentiated messaging, sales enablement and market research. A product marketer cares deeply about buyers but in the context of their organization’s products and services.

We gave birth to content marketing as a response to an increased desire for buyers to be educated on the market rather than just on vendor offerings.

As a result, the two functions address very different needs. Here’s a simple way to look at the work each function does:

How are your content and product marketing teams set up for success?

German Damaged versus Destroyed Tanks at Kursk

German Damaged versus Destroyed Tanks at Kursk

In his last post Niklas notes that around 20% of German tanks lost in battle were destroyed. Here is the data I have for Kursk in July 1943 (pages 1336, 1337, and 1339 of my Kursk book):

Unit………………….Tanks Destroyed……….Tanks Damaged……..Percent Destroyed

3rd PzD                  12                                  70                            15%

GD PzGrD              26                                144                            15

Panthers                 42                                188                            18

11th PzD                 13                                124                              9

LSSAH PzGrD        20                                138                            13

DR SS PzGrD         18                                129                            12

T SS PzGrD            18                                121                            13

6th PzD                   18                                  87                            17

7th PzD                   26                                103                            20

19th PzD                 23                                  89                            21

503rd “T” Bn             5                                  70                              7

StuG units                 5                                  47                           10

Total                      226                              1310                           15%

 

Note that my count of tanks damaged/destroyed include those that broke down in combat. This is not an insignificant portion. It does not include tanks that were damaged or broken down during the day but were back in the action before they reported towards the end of the day a count of tanks ready-for-action. Rarely do we have reports of tanks damaged, mostly just reports of the number ready-for-action each day.

These figures include assault guns. Also, these figures include Marders (self-propelled anti-tank guns), which is why they differ slightly from the figures in my previous posts.

The units are listed from left to right (west to east) as they were deployed on 5 July 1943. They were organized into three panzer corps.

Also see:

III Panzer Corps Tank Loss Reports 9-21 July 1943

 

These 2019 Healthcare Trends Indicate A Digital Transformation

These 2019 Healthcare Trends Indicate A Digital Transformation

As technology transforms and enhances so many different spheres of life, it is only natural that these technologies have a huge impact on the healthcare sector as well. In fact, 2019 healthcare...

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How AI Can Be Used To Verify Workplace Data

How AI Can Be Used To Verify Workplace Data

When artificial intelligence (AI) first entered the mainstream, some employees felt concerned, and even outright threatened, by the new technology. But with a closer look, the workplace started to...

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Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Most organisations in India believe that artificial intelligence (AI) applications will drive productivity and business performance of their organisations, according to theData Pulse: Maximising the...

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Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Most organisations in India believe that artificial intelligence (AI) applications will drive productivity and business performance of their organisations, according to theData Pulse: Maximising the...

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How AI has Helped The Finance Field Overcome Fraud

How AI has Helped The Finance Field Overcome Fraud

How would you like the ability to accurately predict financial crimes and prevent them before losing a penny?

No, this isn't the plot of a sci-fi thriller or a superpower we can grant you. Artificial intelligence (AI) is changing the finance industry in ways that couldn't be imagined even a few years ago. We haven't quite attained Azmovian levels of prescience yet, but we're moving closer every day.

Understanding How AI Works

Artificial intelligence has not quite reached complete independence from human input; our machines are still only as smart as their programming. There are four types of AI, which can generally be divided into two categories. One is narrowly defined to be intuitive, but only within the context of its environment and purpose. The other type is the stuff from which sci-fi fantasies are made. It's able to learn, evolve, and make decisions over a range of applications completely independent of human input or interference. This type of AI has the potential to attain self-awareness some day.

Most current cybersecurity software falls into the first category. It can analyze behavior, use that analysis to identify patterns and make predictions or recommendations based on its findings. It can also develop a set of criteria ...


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Making Data Work For You: 6 Steps To Limit Bias In Your Big Data

Making Data Work For You: 6 Steps To Limit Bias In Your Big Data

You can’t succeed in business today without the use of big data. In fact, I’ve long been a believer that data-backed decisions are essential for effective digital transformation. Not only does data...

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How Big Data Can Unseat Big Players in the Stock Market

How Big Data Can Unseat Big Players in the Stock Market

Have you heard of Fibonacci trading? It’s an investment strategy based on the Fibonacci sequence. A stock trader who favors the Fibonacci ratios — a high volatility or low volatility Fibonacci trader —  will sell or hold their position based on the ratios. The interesting thing about this strategy is the way in which it mirrors nature, which is an anomaly. For whatever reason, nature decided to organize structures according to the pattern the Fibonacci sequence describes. In turn, traders can base their strategy on a mathematical anomaly that corresponds with nature.

Here’s the thing: before day traders could take advantage of advanced automated trading software, a trader who tried to manually employ the Fibonacci ratios was at the mercy of their own emotions. At times when a Fibonacci-based strategy is working, manual day traders can fall prey to either the gambler’s fallacy or the hot-hand fallacy. They can decide it’s time to change strategies because of the basic logical errors to which humans are prone. Now, automated trading removes the emotional irrationality and makes it possible for small-fish traders to employ multiple strategies at the same time.

In short, humans can tend to have a bias towards a strategy like Fibonacci ...


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The 10th Panzer Division Tank Losses in October 1941

The 10th Panzer Division Tank Losses in October 1941

The 10. Pz.Div. was one of the spearheads in Operation Taifun, the German attempt to capture Moscow in October 1941. Its tank component was the Pz.Rgt. 7, whose war diary has survived, in file (BA-MA RH 39/99). All data presented below is taken from that source.

On 1 October, the panzer regiment had 41 Pz II, 82 Pz III, 19 Pz IV and 10 Bef.Wg. operational. Ten days later this had shrunk to 29 Pz II, 66 Pz III, 21 Pz IV and 8 Bef.Wg All in all, a reduction from 152 to 124, despite the slight increase in the number of Pz IV operational.

On 21 October it had been reduced to 22 Pz II, 35 Pz III, 12 Pz IV and 6 command tanks. It seems that the workshops did manage to put tanks back in running order, as the number of operational tanks rose to 22 Pz II, 43 Pz III, 14 Pz IV and 10 command tanks on 1 November.

It would have been good to compare this to the daily tank losses (irrevocable losses), as they are given in a table in the annexes. Unfortunately, the copy I have received does not extend to the left margin. Thus, I can only see the month, not the date, which is given in the leftmost column of the table. However, it can be concluded that the losses in October amounted to 8 Pz II, 15 Pz III, 1 Pz IV and 1 Command tank. It should be noted that the table gives all tank losses from the beginning of Operation Barbarossa to April 1942, even showing in which company each individual tank loss occurred.

We could see that between 1 October and 21 October, the number of operational tanks shrunk from 152 to 75, a reduction of 77. During the entire month of October 25 tanks were lost irrevocably. Most likely, some of those were lost after 21 October and also some vehicles were most likely repaired between 1 and 21 October. We saw that the number of operational tanks rose by 14 between 21 October and 1 November. Given a similar effort from the repair services, around 25 tanks could have been repaired between 1 and 21 October.

With this in mind, it would seem that for each German tank destroyed, around 4 were rendered temporarily inoperable. This is a ratio consistent with other operations, as long as the Germans were able to tow away their damaged tanks (which includes tanks suffering from mechanical problems).

Lessons Learnt from Operational Deployment of Automated Machine Learning

Lessons Learnt from Operational Deployment of Automated Machine Learning

It has been a while now since we have integrated intelligent features deep in some SAP applications such as ‘Opportunity Scoring’ and ‘Lead Scoring’ in C/4 sales, or ‘forecast delays in Stock in...

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The Death of “Big Bang� IT Projects

The Death of “Big Bang� IT Projects

Why is it so hard to change, especially from a business perspective? Why is it so hard to understand that new technology capabilities can enable new technology approaches?  And nowhere is that more...

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Seven Government Technology Startups to Watch in 2019

Seven Government Technology Startups to Watch in 2019

At Public Spend Forum, we are passionate about the power of civic technology to improve government programs and the lives of the citizens they serve. We were proud to feature several GovTech startups...

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Are IT organizations headed for irrelevance?

Are IT organizations headed for irrelevance?

Are IT organizations headed for irrelevance? No, but changing today’s IT paradigm is urgent. Recently I had the chance to attend a great conversation on Twitter and Youtube. Brilliantly facilitated...

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Vessels of the Japanese Maritime Self Defense Force

Vessels of the Japanese Maritime Self Defense Force

JMSDF Destroyers JS INAZUMA (DD 105)and JS SUZUTSUKI (DD117)) commanded by Rear Admiral Tatsuya Fukuda, Commander Escort Flotilla 4, sail in the Pacific for Indo Southeast Asia Deployment 2018 (ISEAD18) in August 2018 while conducting Replenishment At Sea (RAS) training. [Japan Ministry of Defense]

Vessels of the Japanese Maritime Self Defense Force (JMSDF), 2018-2019
(adapted from Wikipedia, and Jane’s Defense: Sea Module)

Type Class Name

Displacement (tonnes)

Notes
Attack submarine S�ryū-class  JS S�ryū

 JS Unryū

 JS Hakuryū

 JS Kenryū

 JS Zuiryū

 JS Kokuryū

 JS Jinryū

 JS Sekiryū

 JS Seiryū

 JS Sh�ryū

 JS Ōryū

4,200

Additional subs building to be commissioned.
Oyashio-class  JS Uzushio

 JS Makishio

 JS Isoshio

 JS Narushio

 JS Kuroshio

 JS Takashio

 JS Yaeshio

 JS Setoshio

 JS Mochishio

4,000

2 of 11 built converted to training ships.
Helicopter destroyer Izumo-class  JS Izumo 

 JS Kaga

27,000

(or Helicopter carrier)
Hyūga-class  JS Hyūga

 JS Ise

19,000

Guided missile destroyer (Aegis) Maya-class  JS Maya

10,500

JS Maya is expected to be in commission by March 2020.
Atago-class  JS Atago

 JS Ashigara

10,000

Kong�-class  JS Kong�

 JS Kirishima

 JS My�k�

 JS Ch�kai

9,500

Guided missile destroyer Hatakaze-class  JS Hatakaze

 JS Shimakaze

5,900

Destroyer Asahi-class  JS Asahi

6,800

First Asahi-class destroyer, JS Shiranui, is expected to be in commissioned by March 2019.
Akizuki-class  JS Akizuki

 JS Teruzuki

 JS Suzutsuki

 JS Fuyuzuki

6,800

Takanami-class  JS Takanami

 JS Onami

 JS Makinami

 JS Sazanami

 JS Suzunami

6,300

Murasame-class  JS Murasame

 JS Harusame

 JS Yudachi

 JS Kirisame

 JS Inazuma

 JS Samidare

 JS Ikazuchi

 JS Akebono

 JS Ariake

6,100

Small destroyer Asagiri-class  JS Asagiri

 JS Yamagiri

 JS Yūgiri

 JS Amagiri

 JS Hamagiri

 JS Setogiri

 JS Sawagiri

 JS Umigiri

4,900

Hatsuyuki-class  JS Matsuyuki

 JS Asayuki

4,000

Destroyer escort Abukuma-class  JS Abukuma

 JS Jintsu

 JS Oyodo

 JS Sendai

 JS Chikuma

 JS Tone

2,550

 (or corvette)
Minesweeper Uraga-class  JS Uraga

 JS Bungo

5,500

Categorized as Mine-countermeasures support ship.
Awaji-class  JS Awaji

 JS Hirado

690

JMSDF commissions second Awaji-class minesweeper
Enoshima-class  JS Enoshima

 JS Chichijima

 JS Hatsushima

570

Hirashima-class  JS Hirashima

 JS Yakushima

 JS Takashima

570

Sugashima-class  JS Sugashima

 JS Notojima

 JS Tsunoshima

 JS Naoshima

 JS Toyoshima

 JS Ukushima

 JS Izushima

 JS Aishima

 JS Aoshima

 JS Miyajima

 JS Shishijima

 JS Kuroshima

570

Uwajima-class  JS Nagashima

570

Minesweeper controller Ieshima-class  JS Kumejima

 JS Yugeshima

570

Reconverted Uwajima-class minesweeper.
Landing ship tank Ōsumi-class  JS Ōsumi

 JS Shimokita

 JS Kunisaki

14,000

The Japanese MoD is planning to perform a major refit on the Osumi-class to improve their amphibious capabilities.
Utility landing craft LCU-2001-class  JS LC No.1

 JS LC No.2

540

Landing craft mechanized YL-09-class  JS YL-11

 JS YL-12

 JS YL-13

 JS YL-14

 JS YL-15

 JS YL-16

 JS YL-17

50

Patrol boat Hayabusa-class  JS Hayabusa

 JS Wakataka

 JS Otaka

 JS Kumataka

 JS Umitaka

 JS Shiritaka

240

Cadet training ship Kashima-class  JS Kashima

4,050

Training vessel Shimayuki-class  JS Shimayuki

 JS Setoyuki

 JS Yamayuki

3,000

Reconverted Hatsuyuki-class destroyers.
Training submarine Oyashio-class  JS Oyashio

 JS Michishio

4,000

Reconverted Oyashio-class submarines.
Training support ship Kurobe-class  JS Kurobe (ATS-4202)
Tenryu-class  JS Tenryu (ATS-4203)
Replenishment oiler Mashu-class  JS Mashu

 JS Omi

25,000

Towada-class  JS Hamana

 JS Tokiwa

 JS Towada

15,000

Training support ship Hiuchi-class  JS Hiuchi

 JS Suo

 JS Amakusa

 JS Genkai

 JS Enshu

1,000

Cable laying ship ATC Muroto
Submarine rescue vessel  

 

 JS Chiyoda

7,100

JMSDF commissions new submarine rescue ship
 JS Chihaya

6,900

Oceanographic research ship AGS Shonan

AGS Nichinan

AGS Futami

Ocean surveillance ship Hibiki-class  JS Hibiki

 JS Harima

JMSDF orders third, more advanced, Hibiki-class ship.
Experiment ship ASE Asuka
Ice breaker AGB Shirase

20,000

Yacht ASY Hashidate
Four essential new IT architecture paradigms for digital business success

Four essential new IT architecture paradigms for digital business success

In the two decades since the dot-com boom, the digital revolution has dramatically transformed our world. We’re now living with countless mobile devices providing digital surfaces to access a broad...

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AWS Outposts: Reinventing the On-prem/Off-prem Debate

AWS Outposts: Reinventing the On-prem/Off-prem Debate

At re:Invent 2018, AWS let loose a flurry of services announcements. One of the most interesting and perhaps the most consequential is AWS Outposts.
An AI strategy is no longer optional

An AI strategy is no longer optional

If you haven’t committed to a comprehensive AI strategy, your competitors might already have an unfair advantage. At the New York Times DealBook conference, Intel emphasized it was urgent that every...

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Reasons to Scale Horizontally

Reasons to Scale Horizontally

Here at Wallaroo Labs, we build Wallaroo, a distributed stream processor designed to make it easy to scale real-time Python data processing applications. That’s a real mouthful. What does it mean? To...

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3 business experts, 3 use cases on business-ready data

3 business experts, 3 use cases on business-ready data

Most businesses, whatever their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, must remain...

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U.S. Army Multi-Domain Operations Concept Continues Evolving

U.S. Army Multi-Domain Operations Concept Continues Evolving

[Sgt. Meghan Berry, US Army/adapted by U.S. Army Modern War Institute]

The U.S. Army Training and Doctrine Command (TRADOC) released draft version 1.5 of its evolving Multi-Domain Operations (MDO) future operating concept last week. Entitled TRADOC Pamphlet 525-3-1, “The U.S. Army in Multi-Domain Operations 2028,” this iteration updates the initial Multi-Domain Battle (MDB) concept issued in October 2017.

According to U.S. Army Chief of Staff (and Chairman of the Joint Chiefs of Staff nominee) General Mark Milley, MDO Concept 1.5 is the first step in the doctrinal evolution. “It describes how U.S. Army forces, as part of the Joint Force, will militarily compete, penetrate, dis-integrate, and exploit our adversaries in the future.”

TRADOC Commander General Stuart Townsend summarized the draft concept thusly:

The U.S. Army in Multi-Domain Operations 2028 concept proposes a series of solutions to solve the problem of layered standoff. The central idea in solving this problem is the rapid and continuous integration of all domains of warfare to deter and prevail as we compete short of armed conflict. If deterrence fails, Army formations, operating as part of the Joint Force, penetrate and dis-integrate enemy anti-access and area denial systems;exploit the resulting freedom of maneuver to defeat enemy systems, formations and objectives and to achieve our own strategic objectives; and consolidate gains to force a return to competition on terms more favorable to the U.S., our allies and partners.

To achieve this, the Army must evolve our force, and our operations, around three core tenets. Calibrated force posture combines position and the ability to maneuver across strategic distances. Multi-domain formations possess the capacity, endurance and capability to access and employ capabilities across all domains to pose multiple and compounding dilemmas on the adversary. Convergence achieves the rapid and continuous integration of all domains across time, space and capabilities to overmatch the enemy. Underpinning these tenets are mission command and disciplined initiative at all warfighting echelons. (original emphasis)

For a look at the evolution of the Army and U.S. Marine Corps doctrinal thinking about multi-domain warfare since early 2017:

Army And Marine Corps Join Forces To Define Multi-Domain Battle Concept

U.S. Army Updates Draft Multi-Domain Battle Operating Concept

 
Discover The Power of Big Data And Learning Analytics For Education

Discover The Power of Big Data And Learning Analytics For Education

Data-driven decision making is all about making decisions that are backed up by solid, verifiable data and not observations. Strategic decision making, which was popularized in the 1980s and 1990s,...

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Nvidia AI research points to an evolution of the chip business

Nvidia AI research points to an evolution of the chip business

What happens as more of the world’s computer tasks get handed over to neural networks? That’s an intriguing prospect, of course, for Nvidia, a company selling a whole heck of a lot of...

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Is Predictive Analytics Solving Challenges In Content Creation?

Is Predictive Analytics Solving Challenges In Content Creation?

Big data has played a fundamental role in the evolution of content marketing. The Editorial Staff at Business.com states that big data has helped by: Some of the most recent advances in big data have...

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Is there value in unstructured data?

Is there value in unstructured data?

One of the biggest challenges for modern businesses isn’t being able to collect data, but finding a way to organize it systematically and using the data that piles up. Learning how to interpret...

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4 Ways Blockchain Can Address Some of Marketing

4 Ways Blockchain Can Address Some of Marketing

Despite widespread public interest in blockchain applications and a significant rise in the number of blockchain startups, the technology has yet to make a dramatic impact on the advertising...

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Data analytics: How data-driven decision-making is transforming organisations

Data analytics: How data-driven decision-making is transforming organisations

Technological breakthroughs, together with a global shift in economic power, are reshaping businesses and accelerating change around the world. Advanced analytics and machine learning—which once...

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Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Data Management Key to Success in the Age of AI, says Seagate’s BS Teh

Most organisations in India believe that artificial intelligence (AI) applications will drive productivity and business performance of their organisations, according to theData Pulse: Maximising the...

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Blockchain: What’s it good for? Absolutely nothing, report finds

Blockchain: What’s it good for? Absolutely nothing, report finds

In a joint report for the Monitoring, Evaluation, Research and Learning (MERL) Technology conference this fall, researchers who studied 43 blockchain use cases came to the conclusion that all...

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Big Data Oncology: Pioneering a New Wave of Cancer Treatment

Big Data Oncology: Pioneering a New Wave of Cancer Treatment

The medical field has been making considerable advances in cancer research. The number of approved therapies continues to increase at an accelerated pace. Thanks to bold investments and innovation,...

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How to build a data science project from scratch

How to build a data science project from scratch

A demonstration using an analysis of Berlin rental prices, covering how to extract data from the web and clean it, gaining deeper insights, engineering of features using external APIs, and more....

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How Can Modern Cities Manage Smart Mobility?

How Can Modern Cities Manage Smart Mobility?

The Smart City Expo World Congress is a global meeting point for everyone with a stake in the future of urban living and development, from world leaders, to technologists to civil engineers. With...

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How to Correctly Analyze Your Data to Ensure Company Efficiency

How to Correctly Analyze Your Data to Ensure Company Efficiency

The science of data research holds more weight over your company's effectiveness than one might generally expect. In fact, comprehensive sets of data and analytic information directly measure the performance of a business, and, therefore, future success depends heavily on a business's analytic metrics. Today, data is measured differently than it formerly had been within the world of business analytics.

Everything has gone digital. No longer are accountants and bookkeepers necessary to determine how successful a company is and in what areas it might need to make changes. A company needs only to invest in the right analytics and market research software. Knowing how to identify the right data, however, is a far cry from knowing the right way to analyze that data in order to cultivate successful and effective business practices. The following are a few tips and tricks on how to correctly analyze your data and market research to ensure a company's efficiency.

Understanding Service Performance

Analyzing data regarding how your business performs a service or delivers a particular product to customers is only part of knowing the performance of your company based on analytic data. Information about your company's service performance includes all aspects of how your business is expected ...


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How Significant Is Blockchain in Internet of Things?

How Significant Is Blockchain in Internet of Things?

The spotlight was placed back on the Internet of Things (IoT) recently when Bosch, the multinational engineering and electronics company, tweeted on Nov. 12 about their Cross Domain Development Kit...

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What Is the Future of Data Warehousing?

What Is the Future of Data Warehousing?

There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and...

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Top Five Business Analytics Intelligence Trends for 2019

Top Five Business Analytics Intelligence Trends for 2019

From explainable AI to natural language humanising data analytics, James Eiloart from Tableau gives his take on the top trends in business analytics intelligence as we head into 2019. AI promises to...

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7 Essentials of Social Media Marketing in 2019 | Simplilearn

7 Essentials of Social Media Marketing in 2019 | Simplilearn

7 Essentials of Social Media Marketing in 2019 | Simplilearn Social media is ubiquitous today. In fact, you might have come across this very article due to social media if you saw it shared via Twitter, Facebook or LinkedIn. Or maybe you’ve already checked in with Instagram today, looked at Snapchat, or pinned a recipe on Pinterest. If you didn’t use any of these social media platforms, perhaps y...Read More.
Japan’s Grand Strategy and Military Forces (IV)

Japan’s Grand Strategy and Military Forces (IV)

Japanese Maritime Self Defense Force (JMSDF) Helicopter Destroyer JS Izumo. [Japan Ministry of Defense}

In my previous post, I took a look at the roots of the extremely close level of integration between the U.S. Navy (USN) and the Japanese Maritime Self-Defense Force (JMSDF). This post will look at new Japanese naval technology development efforts that compliment USN capabilities, which in turn further the common strategic interests of both countries.

While officially classed as a helicopter destroyer (per the doctrinal focus on anti-submarine warfare (ASW)), Izumo-class ships are aircraft carriers in many respects, not least by the image they project to other countries in the region. In March 2018, Japanese Defense Secretary Onodera announced that a study was underway to determine if the Izumo-class could embark F-35B fighters. This would give the JMSDF a similar capability to the U.S. Marine Corps’ (USMC) Amphibious Assault Ships or the Royal Navy’s (RN) new Queen Elizabeth class carrier, (65,000 tons empty). At only 27,000 tons fully loaded, the Izumo class is roughly half the size of U.S.S. America (44,971 tons, fully loaded).

The ability to generate air sorties at sea is a key capability that drives the acquisition of aircraft carriers. Generating stealth fighter sorties at sea gives a potent strike capability, which could conceivably be used to strike at North Korean missile launch facilities, for example. This contingency plan alone was enough to draw a diplomatic warning from Beijing.  Undeterred, the Japanese Defense Ministry just announced plans for F-35Bs to be purchased, as well as hypersonic missile capabilities.

Japan Maritime Self Defense Force (JMSDF) Soryu-class submarine Hakuryu (SS-503) arrives at Joint Base Pearl Harbor-Hickam for a scheduled port visit. (U.S. Navy/Cmdr. Christy Hagen/Released)

Another example of Japanese maritime power projection capability is the Soryu class submarine, who some have claimed is the “best submarine in the world� (Mizokami-san does good work at Japan Security Watch). Carrying up to 30 “fish,� the Soryu class’s Type 89 torpedo is a formidable weapon, not least of which is its maximum speed of 70 knots, which is faster than the U.S. Mk48 ADCAP torpedo’s 55 knots.

Starting this October, these subs will feature lithium-ion batteries, which can store about double the energy of a lead-acid battery for the same volume, and also offers a weight advantage. This enhances the Soryu’s power projection effectiveness, as the Japanese Ministry of Defense has recently announced deployments to the contested South China Sea.

While these are hailed as a first, it is more likely this was the initial announcement of such deployments, which probably have been ongoing for some time. There is a certain logic to parsing how these information releases are worded:

Demonstrating freedom of navigation, a Japanese submarine for the first time conducted drills in the South China Sea where China is constructing military facilities, according to Japanese government sources. The Defense Ministry secretly dispatched the Kuroshio, a Maritime Self-Defense Force submarine, which conducted anti-submarine drills on Sept. 13 with three MSDF destroyers that were on a long-term mission around Southeast Asia, they said. The ministry had conducted anti-submarine drills only in sea areas around Japan, they added. [emphasis added]

This says nothing about being the first deployment, only the first anti-submarine warfare (ASW) drill.

Mitsubishi Heavy Industries (MHI) has been awarded a contract by the Japanese MoD to build the first two of four ships of a new class of multirole frigate (seen here in computer-generated imagery) for the JMSDF. {Source: MHI]

In accordance with its 2018 National Defense Program Guidelines, Japan is also planning a new type of multi-role frigate. The JMSDF has announced plans “to introduce a new type of destroyer with minesweeping capabilities, with the aim of increasing the number of such vessels to 22 in the 2030s, sources said. In light of the intensifying activities of the Chinese Navy in the East China Sea, including around the Senkaku Islands in Okinawa Prefecture, the government aims to improve warning and surveillance capabilities.�

According to Jane’s,

[T]his new frigate class, which is intended to carry out surveillance missions in waters surrounding the Japanese archipelago, will be equipped with enhanced multirole capabilities, including the ability to conduct anti-mine warfare operations, which until now have been performed by the JMSDF’s ocean-going minesweepers. Armament on the frigates, each of which will be capable of embarking one helicopter as well as unmanned surface and underwater vehicles, is expected to include the navalized version of the Type-03 (also known as the ‘Chū-SAM Kai’) medium-range surface-to-air missile, a 5-inch (127 mm)/62-calibre gun, a vertical launch system, canister-launched anti-ship missiles, and a SeaRAM close-in weapon system.

From this, we can see that this weapon system is intended to keep the military balance in place in the home waters, more so than a power projection mission. The purpose for these capabilities becomes more clear when considering the investments by the Chinese People’s Liberation Army Navy (PLAN) in mine warfare. “Today, the evidence continues to mount that the employment of sea mines remains a core tenet of Chinese naval war-fighting doctrine.Andrew Erickson of the U.S. Naval War College has written a great white paper on the topic, entiled “Chinese Mine Warfare: A PLA Navy ‘Assassin’ s Mace’ Capability.”  More to follow on this in later posts!

What CMOs Need To Know About Partner Marketing

What CMOs Need To Know About Partner Marketing

As the consumer media environment evolves, every marketer needs to find new ways of reaching and connecting with people. One area that I’ve noticed has become increasingly popular is...

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8 Ways to Fire Up Your Facebook Marketing in 2019 | Simplilearn

8 Ways to Fire Up Your Facebook Marketing in 2019 | Simplilearn

8 Ways to Fire Up Your Facebook Marketing in 2019 | Simplilearn Did you check Facebook yet today? If not, you probably soon will. When 1.47 billion people use Facebook every day, there’s a good chance you’re one of them. And with that many active users, there’s also a good chance you’re marketing with Facebook—or at least thinking about it. But are you making the best use of this g...Read More.
Your Email Reputation Can Make or Break Your ROI | Simplilearn

Your Email Reputation Can Make or Break Your ROI | Simplilearn

Your Email Reputation Can Make or Break Your ROI | Simplilearn How important is a reputation? At work, within your community, within your family…a reputation means a lot. And it has to be protected. As Benjamin Franklin is famously quoted as saying, “It takes many good deeds to build a good reputation, and only one bad one to lose it.”  This need to build and protect a reputation exist...Read More.
How Natural Language Processing Is Transforming BI

How Natural Language Processing Is Transforming BI

The important relationship between humans and machines has grown vastly more complicated and important since the rise of natural language processing, or the ability of machines to use computational linguistics to understand us when we speak to them as if they were other people. Business intelligence, in particular, has been fundamentally upended by the rapid adoption of NLP across the market, with whimsical devices and services like Alexa and Google Home now seeming normal rather than extraordinary.

However, having your machines understand you when you speak is anything but normal. Here’s a deep dive into the marvellous world of natural language processing, and how it’s going to transform BI as we know it.

BI is already adjusting to NLP

It was just a few years ago that you would have struggled to find a single good example of natural language processing in the market, but today it’s just about everywhere. BI and smart entrepreneurs with an eye on the future are already beginning to adjust to the reality of NLP because this astonishing technology has already made our AI pocket-assistants like Siri an everyday facet of our lives. Natural language processing isn’t just for everyday people trying to talk to their iPhone or ...


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How To Use Big Data For Social Media Optimization

How To Use Big Data For Social Media Optimization

Everybody understands how crucially important social media is to contemporary success, but that doesn’t mean that every business owner knows how to effectively use big data to optimize their performance on today’s biggest platforms. Indeed, modern social media optimization is a hectic and confusing business that frustrates many who get involved without doing their homework well ahead of time.

Luckily, some tried and tested tips can help you leverage the power of big data for social media optimization at next to no costs at all. Here’s how you can tap into the digital age to excel on Facebook and Twitter.

Understand that social media optimization starts slowly

Even with the best big data tools as your disposal, it’s highly unlikely that your social media brand will instantly take off and accrue millions of followers right away. In many ways, this is actually a good thing – businesses and brands which go viral on the internet and see overnight success often succumb to the very same success that propelled them into the spotlight, facing huge customer demand and online trolling they simply can’t handle without preparation. That’s why you need to know that social media optimization starts slowly, but that the momentum you begin ...


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How Big Data is Affecting Your Holiday Shopping Habits

How Big Data is Affecting Your Holiday Shopping Habits

When the holidays start, shopping starts to pick up. But you might not realize that there are certain things that affect your holiday habits. It helps to know what these are so you can make the best decisions. That way, when you are buying gifts you are not just spending money. Instead, you are doing it in a way that will get great gifts but also not break the bank:

Discounts 

A lot of companies run discounts during the holidays. The whole reason behind this is usually to get you in the door in the first place. After all, who doesn't love a good deal? This applies to both online stores and physical retail stores.

Beware that once you find your item, you might be tempted to run around the store and look for other things. This can easily add up if you're not careful. Before you know it, you might find yourself spending more than you originally planned.

To fight back against this, keep in mind that if you did not plan to buy the item in the first place, then it is not a good deal. Just because it is on sale does not mean you need it. So save the money ...


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So, WTF is Artificial Intelligence Anyway?

So, WTF is Artificial Intelligence Anyway?


Image By Seanbatty (Pixabay)


According to Encyclopedia Britannica, artificial intelligence (AI) can be defined as:

"The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, like the ability to reason, discover meaning, generalize, or learn from previous experiences."

By now, we have all heard about how AI can make it possible for computers, machines and other electronic devices to perform increasingly complex and human-like tasks.

As all this sounds almost like magic, with machines performing increasingly complex tasks —from new gaming computers to self-driving cars – in reality most of AI technologies rely on the blend of software methods and technologies that imply collecting, processing and recognizing patterns within large amounts of data.

So, how does AI Works?

AI’s development initiated as an effort towards the creation of systems with similar human-intelligence capabilities having, according to tutorialspoint.com, two main goals:

  • The Creation of Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advise its users.
  • The Implementation of artificial  “Human Intelligenceâ€� in Machines − Creating systems that understand, think, learn, and behave like humans.

By providing these devices with key abilities like learning from experience and adjusting to the type of input received, software providers enable them to change and adapt to produce insights by detecting these variances.

Through its evolution, AI has been continuously incorporating technological contributions from many sciences and disciplines, ranging from mathematics to biology and computer sciences and has evolved in parallel with many other sub-field disciplines or subareas of AI (Figure 1).

Some of these, subareas include:

  • Machine learning (ML). Basically, ML uses methods like statistics, neural networks, operations research and others to automate the analytical model building process that makes it possible to find hidden patterns and insights using large data sets. You can check WTF is ML here.
  • Neural networks. A neural network is a specific type of machine learning method built of interconnected units (network) able to iteratively process data by responding to external inputs and relaying data between each unit. The process requires multiple runs over the data set to find connections and derive meaning from undefined data.
  • Deep learning. A special case of ML that applies neural networks, is composed of many layers of processing units. The network has taken advantage of continuous advances in computing power as well as new training techniques to “learnâ€� complex patterns within large data sets. Among its many applications image and speech recognition can be included as preponderant ones. Check WTF is Neural Network here.
  • Natural language processing (NLP), or the technology that gives computers the ability to “understandâ€� and generate human language, written or in speech. Today, NLP includes human-computer interaction, in which both devices and humans communicate using normal, everyday language to interact.
  • Computer vision. Relying on some previous technologies mentioned and especially on pattern recognition deep learning, computer vision aims to recognize what’s in an existing image or video. By analyzing and understanding images, computers and devices can capture images or videos in real-time and interpret with accuracy what they contain.
  • Cognitive computing. A more recent addition to the AI field, cognitive computing aims also to provide information and insights that allow improving the decision-making, while enabling natural interaction between computers, devices and users. The main objective is to enable machines to mimic human processes and provide insights in a “human naturalâ€� fashion (language, images, etc.)

 Figure 1. Some of many AI sub-fields

In essence, AI consists on developing algorithms and models that can ingest large amounts of data and, using an iterative process, progressively learn and adapt to improve the information outcome.

With each iteration AI learns and acquires a new “skill� which enables it to improve the way it performs a classification or a prediction.

Today AI and many of its sub-fields are especially suited to approach problems that require working with data:
  • In large amounts
  • that it’s not structured, well organized or well formatted
  • That changes constantly
As AI finds structure and regularities in data, the algorithm keeps improving and acquires a skill, the algorithm keeps executing until it can  accurately classify or predict.

A key aspect of AI models is they adapt when given new data, which allows the model to adjust through training.

Traditional and AI based programs have important differences between them, while traditional programs are coded using a set of precise instructions and rules to answer specific questions, AI programs are flexible to allow the answering of generic questions.

According to Dr. Rajiv Desai, there are important differences between traditional and AI based software solutions which include, processing, nature of the data input and structure, among others (Figure 2):

Figure 2. Conventional programming vs AI programming (Credit: Dr. Rajiv Desai, An Educational Blog)

As opposed to conventional coding where the code is key to guide the process data in AI is, rather than the algorithm, the key value. Conventional software programs are provided with data and are told how to solve a problem, while AI programs work on exploiting inference capabilities to gain knowledge about a specific domain.

The following table (Figure 3), provided also by Dr. Rajiv Desai illustrates main differences between programming with and without AI.


Figure 3. Programming with and without AI programing (Credit: Dr. Rajiv Desai, An Educational Blog)

Due to its modular nature, AI is, in many cases, incorporated within existing applications rather than sold as an individual solution, although a new generation of programming platforms exist that enable users and organizations to develop AI-based applications.

Good But Still, What’s with All the Recent Hype With AI?

While we can date the initial development back to the 1940s —somehow in parallel to the own evolution of computer systems— it’s until recent years that AI has become almost omnipresent in any type of software system available, why?

While today  traditional computer programs can perform simple and increasingly complex tasks and analysis of data ―especially due to advances in computer processing speed as well as memory and storage power―, new business models keep increasing the demand for systems that can provide better insights and even act or decided on them, such is the case with new technologies like as mobility,  cloud computing or the internet of things.

All the previous is triggering the need for systems capable to analyze, predict and autonomously improve, features that traditional systems don't have.

So, aside from the new AI-based applications that keep emerging,  due to its modular nature, AI with all its sub set of methods and technologies have the capability to embed “intelligenceâ€� to existing software applications so today, a myriad of computers and new devices already in the market are being improved with new  AI capabilities, a reason why more and more applications are being infused with this pervasive technology.

So, today, a myriad of services, ranging from conversational platforms, to bots and smart machines are now being applied exponentially to more software and products to improve their services at homes, workplace, and even on the streets.

From Siri, added as a feature to all Apple products , to the brand new autonomous database services offered by the Oracle DWH Automation service, many products are now poised to be infused with advanced AI capabilities.

How About the Potential Applications of AI?

As mentioned, software applications in all industries and business areas keep incorporating small and big pieces of AI functionality within their domains. A good sample of the many current uses of AI include:


  • Cybersecurity. A growing number of organizations incorporate AI and ML algorithms to, for example, detect malware. ML algorithms and models can predict with increasing accuracy which files carry malware by looking into patterns within the file or how the data was accessed which can signal its presence.
  • Fraud Detection. As AI and ML algorithms improve and become more efficient, so the solutions to detect potential fraud. New systems for this purpose now incorporate AI for spotting and predicting potential cases of fraud across diverse fields, including banking or online purchasing sites. Organizations use AI’s capabilities to continuously improve their mechanisms for spotting potential cases of fraud by comparing millions of transactions and being able to distinguish between legitimate and fraudulent transactions.
  • Health Care. New AI applications can now provide personalized medicine and X-ray readings by analyzing images while AI based personal health care assistants can remind you to take your pills, exercise or eat healthier relying on the analysis of your personal health data.
  • Manufacturing. As data is streamed from connected equipment, AI based software can analyze manufacturing equipment’s data and forecast expected load and demand or predict its maintenance cycle by using specific types of deep learning networks that use sequence data.
  • Retail. AI can now provide retailers with virtual shopping capabilities, offer personalized services and recommendations for users while also gain efficient stock management and site layout via improved analysis and insight provided by AI.
  • Sports. New AI based solutions in sports can now be applied for image capturing of game plays and provide coaches with reports that can help them improve game tactics and strategy.


A we can see from the samples above, there are several cases where AI can be effectively applied for process improvement, efficient analysis, and better decision making.

How About the Software Available and its Adoption in an Organization?

Despite AI sound like a complicated and worst of all, expensive technology to adopt, currently AI has become accessible for almost any type of organization.

Now AI is embedded in so many software solutions that organizations of all sizes can adopt AI in some form and for a great deal of business uses that, it wouldn’t even be surprising if you are already using some AI enabled solution and not being unaware of it.

So, where should we start using AI within our organization? Well, this will depend on your organization’s budget, use case(s) complexity and existing expertise of AI to define what type of AI and consequently, what type of provider and vendor should we pick.

A good starting point would be to classify categories, those of companies offering AI solutions to understand in general the varied types of AI companies and how they could potentially help us to adopt some form of AI within our organization
.
In her blog The 3 major categories of AI companies, Catherine Lu, makes an interesting classification of AI companies, dividing them in three main categories:

  • Data science consulting firms: low productization
“Data science consulting firms are defined by their low level of productization. Their main advantage is that it’s easier for them to deliver great results, as AI models require customization and are highly dependent on customer data. Their disadvantage is that they cannot scale quickly. For companies that are expected to be high growth, they will need to figure out how to move out of this category.�

  • AI platform companies: high productization targeting many use cases
“AI platform companies offer to be the underlying infrastructure on top of which specific AI solutions live. They can allow end users to import data, perform data wrangling and transformations, train models, and perform model validation.�
This includes platforms like H2O.ai and Databricks.

  • Vertical AI companies: high productization targeting few use cases
“Vertical AI companies solve a particular business problem or set of problems with a productized solution. They enable their enterprise customers to achieve additional lift from AI without needing to build or maintain models in-house. Examples on this end are more numerous.�
This includes companies like DigitalGenius (customer support), Entelo (recruiting), Cylance (cybersecurity), or DataVisor (fraud detection).�

On a brief note, while Ms. Lu emphasizes her belief that vertical AI companies will be those that succeed due to their ability to provide productized solutions that scale, recent development and evolution of low code technologies make me think a bit different, as they are enabling a larger number of organizations to instead of adopt vertical solutions, to acquire AI development platforms that have lower learning curves and, consequently, enable the production of custom solutions with lesser effort but more customized capabilities.

Examples? Some include IBM (Watson), Amazon and Microsoft.

So… What’s in it for Me and my Organization?

Well, in short, AI could offer effective ways to achieve improvement in different fronts, including business operation, analytics efficiency as well as decision making improvement.
In wider view, the benefits of AI adoption can come in different forms, AI solutions deployed properly can allow organizations to streamline and improve operations via automation and adaptation while also  improving analysis processes to increase accuracy and improve chances of successful decisions.

Whether your organization decides to go easy and adopt a proven vertical AI solution or jump directly to developing AI solutions in-house, as more and more software providers keep infusing AI to their software offerings, it is only natural to expect AI will keep continuously evolving and, as it does, will be improving the way many software solutions work.

So, while science fiction novels and movies portray AI as machines and robots that can and will eventually rule the world, in reality, up to now AI is more about enhancing than replacing what humans can do, or can’t?


How Serverless Will Facilitate the Growth of Big Data Applications?

How Serverless Will Facilitate the Growth of Big Data Applications?

When it comes to designing the big data framework within the organization, serverless computing is coming off as a perfect solution. Setting up a dedicated server to facilitate your custom requirements is history now. To deal with the complex analytics workload, organization are often re-architecting their IT infrastructure.

Moreover, the popular buzzword of “pay as you go� and “pay for what you use� is proving to be a major driving factor in accelerating the adoption of serverless architecture. With a sudden rise in adoption, it is becoming mainstream as more and more people are opting for the same.

Serverless is definitely proving to be a big benefit for the organizations across the world. However, there are very few who are leveraging it to enable their big data solutions. Let’s analyze whether serverless is right for powering big data solutions or not. If yes, what are the major benefits it brings to the table?

Understanding Serverless

Serverless is a popular term which houses two of the widely used technology, Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS). It is a software design pattern where you build and run your applications without having to manage the infrastructure.

In serverless, the code runs in a short-lived function which is triggered as ...


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How to Clear Your CEH Exam on the First Try | Simplilearn

How to Clear Your CEH Exam on the First Try | Simplilearn

How to Clear Your CEH Exam on the First Try | Simplilearn It’s an unfortunate fact that cyber-crime is on the rise in terms of both incidence and level of sophistication. Hackers, for a variety of reasons ranging from simple mischief to committing felonies, cost the world of e-commerce billions of dollars annually. In fact, a report released earlier this year puts the annual cost of cyber-crime at $...Read More.
The List of IoT Predictions for 2019 is Long

The List of IoT Predictions for 2019 is Long

For years, I have been collecting IoT predictions and trends and writing my own wishes for this amazing Internet of Things movement. You can read the 2017 article here “Have we already bored of predicting IoT?� and the 2016 article here “Will finally be 2017, the year of Internet of Things? I do not think so�.

Over the years we have had optimism and pessimism, but as we are approaching the magic 2020 year, most of the new predictions are impregnated with a layer of realism, which is very much appreciated.

Despite all the challenges the Internet of Things faces, it is increasingly clear that the sensing and digitalization of the physical world are unstoppable.

As part of thEcosystemtm Analyst team, I have written the report Top 5 IoT predictions for Europe in 2019 that includes:


LPWAN Connectivity and Interoperability will Allow Tracking and Device Management Across Multiple Use Cases
It will the Right Time for Smart Homes in Europe, Driven by Voice-Controlled Speakers
The IoT Platforms Market will Consolidate by Verticals
Telecommunications Providers, Car Manufacturers and Insurance Companies will Create a Connected Cars Ecosystem
All Smart City Technologies and Services in Europe will be Aimed at Improving Quality of Life


You can view the report for free here.

I also recommend ...


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Flaws in Machine Learning & How Deep Learning Is Helping | Simplilearn

Flaws in Machine Learning & How Deep Learning Is Helping | Simplilearn

Flaws in Machine Learning & How Deep Learning Is Helping | Simplilearn It’s hard to ignore the cultural and organizational impact that Artificial Intelligence (AI) has had over us. Most organizations today have realized the impact of AI, and are doing all that they can to participate in and help facilitate the growth of the technology. For those who know the nuances of AI and the metrics involved in it, Deep Le...Read More.
Time to Learn AI | Simplilearn

Time to Learn AI | Simplilearn

Time to Learn AI | Simplilearn Alfred Lord Tennyson wrote, “’Tis better to have learned AI and lost than never to have learned AI at all.” OK. He didn’t write that. But were he alive today, he would because if you don’t learn AI, or artificial intelligence, whether you’re a computer programmer or a full stack developer, you risk having your sk...Read More.
Need for Tech Talent Drives Amazon’s Decision to Open Two New HQs | Simplilearn

Need for Tech Talent Drives Amazon’s Decision to Open Two New HQs | Simplilearn

Need for Tech Talent Drives Amazon’s Decision to Open Two New HQs | Simplilearn When Jeff Bezos started the retail giant Amazon in the mid-1990s as an online bookseller, could anyone have predicted the size and breadth the company would achieve less than three decades later? Today Amazon sells much more than books, and the company is a powerhouse in ways far beyond e-commerce. It is now big enough to regularly make headli...Read More.
3 Key Tech Trends to Watch Out For In 2019

3 Key Tech Trends to Watch Out For In 2019

2019 looks to be the year of using smarter technology in a smarter way. Three key trends — artificial intelligence systems becoming a serious component in enterprise tools, custom hardware breaking out for special use-cases, and a rethink on data science and its utility — will all combine into a common theme.

In recent years, we’ve seen all manner of jaw-dropping technology, but the emphasis has been very much on what these gadgets and systems can do and how they do it, with much less attention paid to why. Many a startup and incumbent has built nifty little highly-intelligent products and services but very few have broken out as enterprise/consumer adoption and go-to-market adaptation issues have affected the growth. One of the key after-effects is that this is forcing a re-think on some of the issues mentioned above. In 2019, look for enterprises, in particular, to get past the wow factor and ask the big questions of how the technology helps the bottom line.

Whither Artificial Intelligence

AI systems have been successfully embedded in a variety of consumer apps and custom hardware platforms - like Alexa, Siri and Google Home. However, deployment of these technologies in enterprise workflows has been slow. The complexity ...


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Japan’s Grand Strategy and Military Forces (III)

Japan’s Grand Strategy and Military Forces (III)

[John Hopkins Applied Physics Lab]

In my previous post, I looked at the Japanese Maritime Self-Defense Force (JMSDF) basic strategic missions of defending Japan from maritime invasion and securing the sea lines of communication (SLOC). This post will examine the basis for JMSDF’s approach to those tasks.

In 2011, JMSDF Vice Admiral (Ret.) Yoji Koda published an excellent article in the Naval War College Review, entitled “A New Carrier Race?.� Two passages therefrom are particular relevant and illuminating:

In 1952, … the Japan Maritime Guard (JMG) was established as a rudimentary defense organization for the nation. The leaders of the JMG were determined that the organization would be a navy, not a reinforced coast guard. Most were combat-experienced officers (captains and below) of the former Imperial Japanese Navy, and they had clear understanding of the difference between a coast guard–type law-enforcement force and a navy. Two years later, the JMG was transformed into the JMSDF, and with leaders whose dream to build a force that had a true naval function was stronger than ever. However, they also knew the difficulty of rebuilding a real navy, in light of strict constraints imposed by the new, postwar constitution. Nonetheless, the JMSDF has built its forces and trained its sailors vigorously, with this goal in view, and it is today one of the world’s truly capable maritime forces in both quality and size.

This continuity with the World War II-era Imperial Japanese Navy (IJN) is evident in several practices. The JMSDF generally re-uses IJN names of for new vessels, as well as its naval ensign, the Kyokujitsu-ki or “Rising Sunâ€� flag. This flag is seen by some in South Korea and other countries as symbolic of Japan’s wartime militarism. In October 2018, the JMSDF declined an invitation to attend a naval review held by the Republic of Korea Navy (ROKN) at Jeju island, due to a request that only national flags be flown at the event. This type of disagreement may have a material impact on the ability of the JMSDF and the ROKN, both allies of the United States, to jointly operate effectively.

Koda continued:

Since the founding of the Japan Self-Defense Force (JSDF) and within it the JMSDF, in 1954…the bases of Japan’s national security and defense are the capability of the JSDF and the Japanese-U.S. alliance… Thus the operational concept of the JSDF with respect to the U.S. armed forces has been one of complementary mission-sharing, in which U.S. forces concentrate on offensive operations, while the JSDF maximizes its capability for defensive operations. In other words, the two forces form what is known as a “spear and shield� relationship… [T]he JMSDF ensures that Japan can receive American reinforcements from across the Pacific Ocean, guarantees the safety of U.S. naval forces operating around Japan, and enables U.S. carrier strike groups (CSGs) to concentrate on strike operations against enemy naval forces and land targets…[so] the JMSDF has set antisubmarine warfare as its main task…ASW was made the main pillar of JMSDF missions. Even in the present security environment, twenty years after the end of the Cold War and the threat of invasion from the Soviet Union, two factors are unchanged—the Japanese-U.S. alliance and Japan’s dependence on imported natural resources. Therefore the protection of SLOCs has continued to be a main mission of the JMSDF.

It is difficult to overstate the degree to which the USN and JMSDF are integrated. The US Navy’s Seventh Fleet is headquartered in Yokosuka, Japan, where the U.S.S. Ronald Reagan, a Nimitz-class super carrier, is stationed. Historically, this position was filled by the U.S.S. George Washington, which is currently back in Virginia undergoing refueling and overhaul. According to the Stars and Stripes, she may return to Japan with a new air wing, incorporating the MQ-25A Stingray aerial refueling drones.

According to the Center for Naval Analysis (CNA), the USN has the following ships based in Japan:

  • Yokosuka (south of Tokyo, in eastern Japan)
    • One CVN (nuclear aircraft carrier), U.S.S. Ronald Reagan
    • One AGC (amphibious command ship), U.S.S. Blue Ridge
    • Three CG (guided missile cruisers)
    • Seven DDG (guided missile destroyers)
  • Sasebo (north of Nagasaki, in the southern island of Kyuushu)
    • One LHD (amphibious assault ship, multi-purpose), U.S.S. Bon Home Richard
    • One LPD (amphibious transport dock), U.S.S. Greenway
    • Two LSD (dock landing ship)
    • Four MCM (mine counter measure ship)

One example of this close integration is the JS Maya, a Guided Missile Destroyer (DDG), launched on 30 July 2018. The ship is currently outfitting and is expected to be commissioned in 2020. A notable feature is the Collective Engagement Capability (CEC) (see graphic above). CEC is a “revolutionary approach to air defense,� according to John Hopkins Applied Physics Lab (which is involved in the development), “it allows combat systems to share unfiltered sensor measurements data associated with tracks with rapid timing and precision to enable the [USN-JMSDF] battlegroup units to operate as one.�

Zhang Junshe, a senior research fellow at the China’s People’s Liberation Army Naval Military Studies Research Institute, expressed concern in Chinese Global Times about this capability for “potentially targeting China and threatening other countries… CEC will strengthen intelligence data sharing with the US…strengthen their [US and Japan] military alliance. From the US perspective, it can better control Japan… ‘Once absolute security is realized by Japan and the US, they could attack other countries without scruples, which will certainly destabilize other regions.’â€�

What is COBIT? – Significance and Framework | Simplilearn

What is COBIT? – Significance and Framework | Simplilearn

What is COBIT? - Significance and Framework | Simplilearn COBIT stands for Control Objectives for Information and Related Technology. It is a framework created by the ISACA (Information Systems Audit and Control Association) for IT governance and management. It was designed to be a supportive tool for managers—and allows bridging the crucial gap between technical issues, business risks, and control ...Read More.
Email Deliverability: Why It Matters and How to Improve It | Simplilearn

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Email Deliverability: Why It Matters and How to Improve It | Simplilearn Despite all the wiz bang fancy ways to market to people today, email marketing remains a fundamental part of digital marketing. For one thing, people prefer email to other forms of communication, and for another, it is a marketing channel that’s easily optimized. But it’s not easy to do. In an ideal world, we would simply write our mess...Read More.
5 Big Data Companies to Keep An Eye On in 2019

5 Big Data Companies to Keep An Eye On in 2019

In only a few years our lives have been completely changed thanks to new technological advances and innovations, and never before has data played such an important role in our society.

With a smartphone in our pocket, a computer at home, a laptop at work, an electric or hybrid car, online banking solutions, email accounts, social media, and clouding storage for all of our important documents, we are relying on data companies to support our everyday lives.

In 2017 big data adoption has already reached 53% among companies according to the market study, and it is expected to grow during the next years. The companies that are in charge of handling all of the data we need have literally helped reshape the world we live in, and they are some of the most influential forces in our society.

Naturally, the influence of these big data companies has also created excellent investment opportunities and will continue to do so. To get a better idea of which companies are predicted to perform the best in 2019, I did intensive research around the web, and now I am ready to give my thoughts on the matter. Below you'll find a list of what I believe ...


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The Top 7 Technology Trends for 2019

The Top 7 Technology Trends for 2019

As the year comes to an end, it is time to look ahead to see what the next year will bring us. Last year, I predicted that 2018 would be the Year of Transition and a lot has happened indeed. The crypto market crashed with 60% since its peak at the beginning of the year. In addition, as I predicted, a new approach to data ownership is coming with Sir Tim Berners-Lee’s launch of Solid PODs. Now for the 7th year in a row, I offer you my two cents on the most important technology trends for 2019 to help you, and your business, prepare for the next year.

As we approach the end of the second decade of this millennium, technology is evolving faster than ever before. These exponential times will have a profound effect on what it means to be human and how we manage organisations and societies. However, there is one common denominator among all the changing technologies; they all create data, in vast amounts. Data will determine the next decade as well as how good you are in storing, analysing and using it.

However, before we reach 2020, we first have an exciting but challenging, year ahead. A ...


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How Can Artificial Intelligence Improve the Real Estate Industry?

How Can Artificial Intelligence Improve the Real Estate Industry?

The real estate industry is booming in many cities across America. The economy is robust in various sectors. Not only are wages increasing, but many people feel confident about the future. All of these factors cause housing prices to rise.

There is currently a massive shortage of homes in many large cities. Millions of young adults are renting apartments instead of purchasing homes. Some people worry that a real estate crash could be on the horizon. Business leaders in the real estate industry should utilize technology to predict future issues. Artificial intelligence can be used to find problems in the industry before the issues occur.

Finding Homes

Less than a decade ago, the vast majority of people looked at homes in person before submitting an offer. Each year, millions of people only use the internet to look at homes. Real estate agents are struggling to find clients. The internet has made finding a home much easier.

Many real estate companies are taking the home buying process to a new level. Home buyers can now go online and see various facts about a city where a house is located. These real estate sites are an excellent resource for buyers making a purchasing decision.

Lowering Transaction Costs

The ...


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Smart Water Management using Internet of Things Technologies

Smart Water Management using Internet of Things Technologies

Water scarcity is the lack of sufficient available water resources to meet the demands of water usage within a region, which is, according to the “United Nations Development Programme,� caused mainly...

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III Panzer Corps Tank Loss Reports 9-21 July 1943

III Panzer Corps Tank Loss Reports 9-21 July 1943

Germans World War II records are often not stereotypical “German-like” in their depth and detail. Often it is hard to tell on any given day how many tanks are damaged versus destroyed versus broken down. For much of my work on Kursk, I have had to rely on changes in daily tank strength reports, and work from there. Many authors seem to have hung their hat on German reports of total tank losses, or tanks destroyed, which is systematically reported. One the more detailed tank status reports we have came from the III Panzer Corps from 9 to 21 July 1943.

Let me show you want they have (this was the most complete report):

Tank Report as of 9 July 1943 early (morning):

Ready-for-action

……………………….II…..III k…..IIII l….IIII 7.5….IV k….IV l…Bef….Flamm…VI….StuG….Total

6th PzD               7                24      12                   14      3       10                              70 Pz

7th PzD               4                16        1          3       12      6                                         42

19th PzD                     2          5        4          1       23      1                                         36

503rd “T” Bn                                                                                           33                33

905th AG Bn                                                                                                    21       21

228th AG Bn                                                                                                    23       23

393rd AG Bty                                                                                                    8          8

Lost on 8 July 1943

…………………….II…..III k…..IIII l….IIII 7.5….IV k….IV l…Bef….Flamm…VI….StuG…..Total

6 PzD               1                           1                                                                             2

7th PzD            1                 6        6                      4       2                                          19

19th PzD                                                               2                                                     2

503rd “T” Bn

905th AG Bn                                                                                                 3             3

228th AG Bn

393rd AG Btty

 

And then there is a key at the bottom that said “+ (green) into repair” and “+ (red) total.” Of course my copy is in black and white, taken from microfilm at the U.S. archives (T312, R68, pg 4374). Perhaps someone has a color copy of this file from Germany.

Anyhow, 26 tanks lost this day. Note that they count Sturmgeshuetz (Assault Guns) as tanks (many authors don’t).

The total tank losses reported are:

8 July 1943: 26

9 July 1943: 60 + 48 for the 6th Panzer Division = 108 !!!

1. (they do not give losses for the 6th PzD but it only had 22 tanks ready-for action the early on 10 July).

2. See: http://www.dupuyinstitute.org/blog/2018/10/10/6th-panzer-division-tank-losses-on-9-july-1943/

3. This is a significant action that is not clear from the records and certainly not from the 10-day “totally destroyed” list.

10 July 1943: No figures given

11 July 1943: 29 (but they only report for the 7th and 19th PzD.

12 July 1943: 21 (no reports from three battalions)

13 July 1943: 24 (no reports from 7th PzD and two of the Bns)

14 July 1943: 1

They don’t report any losses from the 15th through the 21st.

The 503rd Heavy Panzer Battalion (Tigers) reports 19 tanks lost on the 9th. Only two Tigers were reported destroyed from the 5th – 10th.

This is one of the few German reports I have seen that report damaged tanks, and it is clearly incomplete. Usually they just report ready for action and total destroyed. The problem is that the unit can be in significant action one day (like 9 July when III Panzer Corps lost over 100 tanks), and they end up only recording a couple of tanks destroyed.

Just to show the differences (data from pages 1336, 1337 and 1339 of my Kursk book):

…………………..Tanks………………….Tanks

…………………..Destroyed…………….Damaged

6th PzD            16                             87

7th PzD            25                           101

19th PzD          22                            81

503rd “T” Bn      5                             70

StuG units          5                            47


Total               73                            386

 

These counts to not include Marders (self-propelled antitank guns).

I think, if you are really looking at analyzing and understanding German armor operations in World War II, then you need to look at the daily changes in ready-for-action, not just their “total destroyed claims.”

6th Panzer Division Tank Losses on 9 July 1943

Why Sentiment Analysis Could Be Your Best Kept Marketing Secret

Why Sentiment Analysis Could Be Your Best Kept Marketing Secret

Sometime before the holidays in 2014, the travel company Expedia Canada launched its “escape winter� campaign. Nothing unusual so far. Except for the the company used as background music for its...

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Top Career Paths in Digital Marketing

Top Career Paths in Digital Marketing

Choosing a career in digital marketing has many benefits for graduates. Not only are online marketing executives in high demand right now, but the trend isn’t about to slow down anytime soon. With the development of the IoT (Internet of Things) and other advancements that will require web-based skills, jobs within this area are only set to grow substantially.

In fact, 150,000 digital jobs are predicted for 2020, and there won’t be enough people to fill them according to the calculations, no matter how hard you work. The “digital skills gap� as it is referred to means that those with the right training and expertise can have extremely prosperous careers with huge earning potential. If you are thinking about what major to take at university or what discipline to train in after graduation, here are some of the top paths to consider.

Digital Project Management

A digital project manager is one of the top paid roles in the world of digital, and anyone who has natural leadership skills will be suited to this. As jobs in this area have become more specialized over the year, there has been an increased need for a project planner, someone who has both the digital skills and ...


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8 Trends That Will Reshape the FinTech Landscape In 2019

8 Trends That Will Reshape the FinTech Landscape In 2019

Ever since the world has become one enormous marketplace, we have seen a constant change in how businesses take place. This has been further fueled by new technologies and rapidly evolving customer...

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Restaurants tap big data for growth, customer engagement

Restaurants tap big data for growth, customer engagement

Big data is making a significant impact on decisions made in the restaurant industry. A saturation of restaurants, combined with less loyalty from Gen Y and Z, and the ubiquity of foodservice in the...

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6 Key Ingredients for a Successful Social Media Marketing Strategy

6 Key Ingredients for a Successful Social Media Marketing Strategy

Social media has become a powerful platform for marketing due to the high brand exposure and great return on investment. Social media has grabbed a major portion of the budget and has become part of...

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Open Source Vulnerability Management: Be Wise — Prioritize

Open Source Vulnerability Management: Be Wise — Prioritize

It’s safe to say that open source has made it to the big leagues. Across all industries, from healthcare to fintech to IoT and everything in between, software organizations of every size are harnessing the power of open source components to create their innovations. While open source components provide developers with a powerful tool for building better software faster, They also present them with a new set of challenges, the first one being open source security.

In a recent Open Source Vulnerability Management Report for 2018, found that open source vulnerabilities rose by over 60% over the past 18 months, challenging developers to keep up with maintaining their product’s security. So have they been up to the task? It is interesting to understand how developers are contending with this increasing workload, all without slowing down their DevOps cycle.

Developers Are Worried About Open Source Vulnerabilities

To gain insight into the way developers today are facing the challenge of open source security, a survey was conducted among over 650 software developers in North America and Eastern Europe and received back some very interesting results.

Developers are well aware of the severe threat of open source vulnerabilities, with 26% of respondents rating security vulnerabilities as their ...


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Japan’s Grand Strategy and Military Forces (II)

Japan’s Grand Strategy and Military Forces (II)

Japanese Maritime Self-Defense Force (JMSDF) ships and the U.S.S. Ronald Reagan Carrier Strike Group conduct Annual Exercise 2016. [U.S. Navy]

In my first post on Japan’s grand strategy, I examined its “free and open� Indo-Pacific policy and briefly reviewed its armed forces—nominally “self-defense forces (SDF)�—as well as the legal reasons for this euphemism, and the Japanese government’s plans to clarify this constitutional conundrum.

The next several posts in this series will focus on a general overview of the Japanese Maritime Self-Defense Force (JMSDF), why this branch is considered primary (or dominant), some history in terms of how it came to be, the current missions, defense concepts, current capabilities and how they have been envisioned, how they are deployed, and a look ahead about options under consideration.

According to an excellent article in the Naval War College Review by Toshi Yoshihara, “the Japanese often describe their key national characteristic in nautical terms, with the familiar notion that ‘Japan is a small island nation lacking resource endowments and is thus highly dependent upon seaborne commerce for its well-being.’�

A few key facts, according to Jane’s Defense: Sea Module:

  • Japan has the world’s seventh-largest Exclusive Economic Zone (EEZ).
  • Japan operates a large commercial fishing fleet of about 200,000 vessels.
  • 90% of Japan’s oil is shipped from the Middle East.
  • 60% of Japan’s food is imported by sea.

The JMSDF is therefore tasked with the fundamental naval missions of defending Japan from maritime invasion and securing the sea lines of communication (SLOC). A recent article in the Japan News, spelled out why SLOC protection is vital for Japan:

[T]he South China Sea is a key sea-lane for Japan. If it became necessary to take a detour around the South China Sea, the additional time and fuel costs are estimated to be 1½ days and $120,000 for travel via the Sunda Strait, and three days and $240,000 for travel via the Lombok Strait. Both of these straits can be perilous, with strong tidal currents, sunken ships and shoals. If either were to see a large increase in marine traffic, chaos is predicted to ensue.

We can see this concern clearly in the recent JMSDF exercise deployment through the South China Sea, the straits of Sunda and Malacca, and onwards to India.

[The Japan News (Yomiuri Shimbun)]

For Indo Southeast Asia Deployment 2018 (ISEAD18) from 26 August to 30 October 2018, JMSDF vessels JS Kaga (DDH 184), JS Inazuma (DD105), JS Suzutsuki (DD117), stopped at Subic Bay, Philippines; Jakarta, Indonesia; Colombo, Sri Lanka; Visakhapatnam, India; and Changi, Singapore. The exercise included naval various exercises with port call countries, as well as the British and U.S. navies. This activity yielded important agreements, such as the maritime surveillance pact between Japan and India to share information on Chinese ship locations.

8 Top Technology Trends for 2019 and the Jobs They’ll Create | Simplilearn

8 Top Technology Trends for 2019 and the Jobs They’ll Create | Simplilearn

8 Top Technology Trends for 2019 and the Jobs They’ll Create | Simplilearn Technology is now evolving at such a rapid pace that annual predictions of trends can seem out-of-date before they even go live as a published blog post or article. As technology evolves, it enables even faster change and progress, causing the acceleration of the rate of change, until eventually it will become exponential. Technology-based careers...Read More.
Successful Digital Transformation Starts With These Steps

Successful Digital Transformation Starts With These Steps

Let the dollar signs speak for themselves: Leaders industry-wide are embracing digital transformation as a disruptive force that can’t be ignored. In fact,a recent study by IDCforecasts that spending...

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What Changes to Expect in the Upcoming ASP.NET Core 3.0

What Changes to Expect in the Upcoming ASP.NET Core 3.0

While we await the next version of ASP.NET Core, Microsoft is also working on major updates in its next release. It includes project composition with frameworks, better .NET Core integration, and third-party open-source integration. All these changes are aimed to make the development process easier and faster for you. 

Let’s have a broad look at them:

Packages vs. Frameworks

The way a project reference and run on ASP.NET Core is changing with the versions and years. The 1.0 of ASP.NET Core was “just packages,� and appeared as NuGet package reference in projects. In version 2.1, ASP.NET Core evolved as a .NET Core “shared framework.� The updates in 3.0 are designed to overcome the challenges faced while working with the previous versions of ASP.NET Core by the users. 

As part of these changes, few important sub-components are not available in the ASP.NET Core 3.0’s shared framework:

1) Json.NET (Newtonsoft.Json)

2) Entity Framework Core (Microsoft.EntityFrameworkCore.*)

The new version will continue to ship packages providing integration for the ASP.NET Core elements that rely on Json.NET features like the JSON format in MVC. However, the default experiences will alter to utilize the new-in-box JSON APIs.

In 3.0, the Entity Framework Core will ship in the form of “pure� NuGet packages. It makes ...


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Using Machine Learning To Find Employees Who Can Scale With Your Business

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Hiring managers in search of qualified job candidates who can scale with and contribute to their growing businesses are facing a crisis today. They’re not finding the right or in many cases, any...

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Using Big Data to Treat the Whole Patient

Using Big Data to Treat the Whole Patient

Big data and computational modeling have the potential to fundamentally change the way patients are diagnosed and treated. Since the 20th century, diseases and other biological systems have been...

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Three Machine Learning Tasks Every AI Team Should Automate

Three Machine Learning Tasks Every AI Team Should Automate

With the war on AI talent heating up, the new “unicorns� of Silicon Valley are high-performing data scientists. Although as recently as 2015 there was a surplus of data scientists, in the most recent...

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Why Transforming Your Organization Using Data Science Must Come From The Top

Why Transforming Your Organization Using Data Science Must Come From The Top

With the advent of artificial intelligence (AI) and machine learning, we have entered the Fourth Industrial Revolution. Over the next few years, organizations that fail to adopt AI and machine...

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It is all about the people (10th Peter Drucker Forum)

It is all about the people (10th Peter Drucker Forum)

Last week I attended the 10th Peter Drucker Forum in Vienna, it was the second time I attended this forum and I consider it ‘food for the soul’. This year the theme was ‘The Human Dimension’. The greatest thinkers on management, leadership and organisation come together and discuss the state of things.

And in my humble opinion, we are in dire straits.

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Let’s face it, organisations are killing people or - as described by Gary Hamel - organisations have become in-human by design. Huge bureaucracies are ‘emotional deadzones’, creativity and innovation is impossible, ideas are often approached in a hostile manner, greed and testosteron have become main drivers.

Organisations are not a safe place to engage in a truly meaningful conversation about improving oneself, the organisation and society. Management and leadership are increasingly distancing themselves of the problems and challenges that we face, they put no skin in the game. Blaming if something goes wrong, celebrating their great leadership if something went right. Or, according to Mintzberg; “we got too much disconnected leadership in organisations�.

In government this is even worse. Government has been derailed for decades by bureaucratic mindsets, powerbased scoundrels and the very defintion of silos. Talent management in government is a joke until they fix its culture, leadership habits and processes (Dan Pontefract). 

Government is broken and we need to fix it. 3959E02D-CFE5-4082-A342-C0F3623C1360

It is a challenge to change this, but I believe we can. And this message was heard during the two days as well. Just start with acknowledging this great injustice to humans, the devastating effect it has on productivity, quality of service, the ability to innovate and the ability of organisations to be socially responsible (dear organisation, answer this question; in terms of purpose, why do you exists except for making more money?).

We can change, but it all starts with leadership being selfless, mindful and compassionate (Rasmus Hougaard). Listen!, be curious, ask questions (Hal Gregersen), facilitate decision-making (resist making decisions yourself) in small teams of people, reward initiative and competency. Power is not given to you by hierarchy, but its given to you if you take initiative (Xavier Huilard).

Or to put it more succinctly; just start giving a shit.

Reflection of oneself is vital in all of this. Don’t just act selfless, be it. Don’t just act social responsible, proof it. Don’t just act compassionate, let me feel it.

And I am writing this plea not only for management or leaders, I am also writing it to myself and others as well, because I truly belief that we are all leaders. 

“Have some skin in the game�, stop rewarding yourself 500 times (or more) the average wage. Stop accumulating obscene amounts of wealth and underpaying your employees (Jeff Bezos, looking at you). Stop striving for global monopolies and crushing human rights and values in the process (Amazon, Google, Facebook, Uber, ....). Stop grabbing, start giving. Oh my, this is starting to sound like a sermon now.

I was impressed by Paul Polman, CEO of Unilever. What a passionate man, I felt his anger, driven by purpose, the common good and acknowledging that his company can change something for the better. Not only talking about it, but acting on it! Unilever has lost a great leader (after 10 years he will retire as CEO of Unilever), I really hope Paul remains to be on the stage. We need people like him.

Stop talking, start walking........Humans first.

The Amazing Ways How Mastercard Uses Artificial Intelligence To Stop Fraud And Reduce False Declines

The Amazing Ways How Mastercard Uses Artificial Intelligence To Stop Fraud And Reduce False Declines

Aside from the inconvenience it causes us, the cost to businesses and the wider economy of these false declines is around $118 billion – an amount 13 times higher than the cost of actual card fraud....

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Why Do Supply Chain Managers Need Predictive Analytics?

Why Do Supply Chain Managers Need Predictive Analytics?

Supply chain leaders are aware that technology will have an effect on business in the next two or three years, but as research shows, only less than half (44%) currently have a strategy in place. The change will most likely come from predictive analytics, which is expected to impact the entire business, from demand prediction to after-sales modeling.

This technique has the advantage of enabling real-time decisions based on statistical estimates of future outcomes. It has the potential to enhance strategic thinking and overall performance. The difference is that it offers a proactive approach, compared with reactive actions, as deemed by historical reports.

Usability

Using predictive analytics is expected to have a clear and positive impact on improving the accuracy of forecasts, product tracing and offering growth paths.  A study from 2017 identified and classified the use cases for supply chain analytics based on importance and level of adoption. These included:


Inventory level optimizations
Production and sourcing optimizations to reduce costs
Identifying and resolving quality defects and root causes
Identifying product cost variances
Analyzing customer service level performance
Tracking product traceability
Analyzing forecast accuracy and more


Although necessary, these could seem a bit too general for daily use. We will strive to examine straightforward ways of using predictive analytics, together with ...


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Why You Want a Woman on Your Data Marketing Team

Why You Want a Woman on Your Data Marketing Team

In so many industries, men outnumber women. In STEM fields, it’s especially common to have a small number of women in the workforce. That’s a problem because teams without women are missing out on some truly incredible benefits.

Women have different skills and perspective than men, and it’s this diversity that is so powerful, especially in data marketing. With the rise of the women’s movement, businesses need to be aware of their work culture and make an effort to be more diverse. This shouldn’t be something you have to do, though. It’s something you should want to do, for your business, its values, and your bottom line.

Men need to expand their thinking, change, and support women in sharing their ideas and becoming an integral part of every team. Here’s why you should bring women on to your data marketing team and help to close the gender gap.

Women Can Drive New Success and Innovation

Groupthink kills innovation, and it’s most likely to happen when all members of the team have similar backgrounds and perspectives. A group of white men might all agree with each other and stay the best of friends, but new ideas will probably be rare. When given an opportunity, women ...


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Soviet Tank Repairs at Kursk (part 2 of 2)

Soviet Tank Repairs at Kursk (part 2 of 2)

This first blog post on this subject strongly made the point that the Russian armor repair effort was not at the same level as the German efforts, which is what I observed when assembling the Kursk Data Base (KDB). But, Zamulin, Demolishing the Myth, continued on pages 448-449, touting what a great job the repair people did. I figured for completeness, I needed to post this.

To continue P. A. Rotmistrov’s (Fifth Guards Tank Army commander) quote from the previous posting:

The mechanics’ profile was diverse. The 83rd Army-level Repair-Recovery Battalion and the corps’ mobile repair depots were staffed with qualified workers from the tank industry (the Stalingrad and Khar’kov factories), but who lacked work experience in field conditions. The tank brigade equipment companies, on the other hand, were staffed primarily with specialists on the repair of armored vehicles under combat conditions. Such a combination of cadres on the whole produced satisfactory results.

Major overhauls, like engine, gun, and turret replacements, were performed at the mobile repair depots of the tank corps. Each tank corps had two of these repair depots, each staffed with 70 to 80 men. For urgent repairs just 8-10 kilometers from the front lines, two army-level, three corps-level and nine brigade collection ppints for disbled vehicles were set up, whch shared all the reapir-recovery resources.

On the night of 12 July, as the 5th Guard Tank Army commander later remembered:

The repair workers faced the tank of restoring and reapiring parts and components, stripped from irreparably damaged tanks from those tanks that needed major overhauls. We had to get hold of 45 engines, 20 gear boxes and several engine and steering clutches. All of the recover and repair units and teams of the separate regimens, brigades, and corps and the army were mobilized to accomplish this tank.

To what Rotmistrov said I will add that in order to hasten the repair of the 5th Guard Tank Army’s damaged armored vehicles, the Front’s Armored and Mechanized Forces commander transferred 167 field repair depots from the 38th Army to the 5th Guards Tank Army on 14 July. The truly heroic effort produced results. Of the 420 damaged tanks in its brigades and regiments after the fighting of 12 July, 112 requiring minor or moderate repairs were restored to operation in the very first days after the battle. In addition, the Front command took other steps to assist the army. Already by 15 July, just three days after the engagement, the 5th Guards Tank Army began to receive new tanks. The 29th Tank Corps was the first to begin to received the new vehicles. The 31st Tank Brigade’s war diary notes, “15 July….An order arrived to pick up 16 T-34 tanks at Solntesevo Station. A procurement team had been sent.”

Data De-Identification and Anonymization: Why and How It’s Done

Data De-Identification and Anonymization: Why and How It’s Done

Anonymization of data involves taking steps to remove personal identifiers from a set of data. Once data is anonymized, it should be impossible -- or at least very difficult -- to figure out who the stored data is associated with. The term de-identification is often used synonymously with anonymization in this context.

Data is typically anonymized to protect the privacy of the subject. Anonymization may be applied to many data sets, including those used in medical studies and market research. Privacy laws -- although they vary by jurisdiction -- will often stipulate that any personal data tied to an individual cannot be used without their express consent. Once data is anonymized, those with access to it have free rein to use the information for various means without gaining express permission from the person (or people) involved.

Why Some Data Needs to Be Anonymized

In the age of the Internet of Things (IoT), there’s a plethora of data being collected about pretty much everyone, more so than ever before. What’s more, much of this data is digitized and stored online. Although much of it is not made public, select employees are trusted with access to their respective company’s data, and you also have the ...


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How to Run a More Data-Driven Online Business

How to Run a More Data-Driven Online Business

Being “data-driven� is a huge buzzword in the business world these days. Everybody is talking about how artificial intelligence will be revolutionizing the way things are done, and Big Data is allowing companies to make accurate predictions and smarter decisions.

Being data-driven has some stellar measurable benefits as well. According to a study from McKinsey & Company, businesses that have successfully integrated data into their strategies are 19 times more likely to turn a profit. They are also 23 times more likely to attract a higher number of customers than organizations that do not have data as a top priority.

Of course, data is equally, if not more important for online businesses. Since e-commerce businesses have no “personal� interaction with customers, it is essential that every decision and strategy is backed up with strong datasets.

So, how can online businesses ensure that they are highly data-driven?

Let’s discuss.

Be Smarter with the Research Process 

Audience analytics is an on-going process for e-commerce businesses; one that is never truly complete. Whether you have yet to launch your store or you’ve been operating for years, knowing your customer’s preferences, needs, and desires will always be a top priority. Analyzing your audience is one of the secrets to a successful online ...


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MySQL High Availability Framework Explained – Part I

MySQL High Availability Framework Explained – Part I

In this two-part blog series, we will explain the details and functionality of a High Availability (HA) framework for MySQL hosting using MySQL semi-synchronous replication and the Corosync plus Pacemaker stack. In Part I, we’ll walk you through the basics of High Availability, the components of an HA framework, and then introduce you to the HA framework for MySQL. MySQL High Availability Framework Explained - Part I

What is High Availability?

The availability of a computer system is the percentage of time its services are up during a period of time. It’s generally expressed as a series of 9′s. For example, the table below shows availability and the corresponding downtime measured over one year.



The meaning of High Availability varies depending on the requirements of your application and business.  For example, if you cannot afford a downtime of more than a few minutes per year in your service, we say that the service needs to have 99.999% High Availability.

Components of an HA Framework

The essence of being highly available is the ability to instantly recover from failures that can happen in any part of a system. There are four highly essential components in any HA framework that need to work together in an automated fashion to enable this recoverability. Let’s review ...


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Linkurious Enterprise 2.6: time filtering, undo-redo, custom icons, search redesign, support for Cosmos DB

Linkurious Enterprise 2.6: time filtering, undo-redo, custom icons, search redesign, support for Cosmos DB

After months of preparation, Linkurious Enterprise 2.6 is now ready to ship! This beta version brings many novelties including the much-requested time-filtering capability, allowing for temporal...

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Here Are 2018’s Most Alarming Scam Statistics

Here Are 2018’s Most Alarming Scam Statistics

The end of the year is a time when people often engage keep an eye on societal trends. One characteristic to be aware of about 2018 is that it was a year full of scams.

Here are six of the most eye-opening and worrisome statistics:

1. Spam Comprised More Than Half of Email Traffic in May 2018

Many people using email services don't realize how much spam they receive, specifically since brands like Gmail filter out apparent junk mail.

But, just because internet users may not see spam as often as they used to doesn't mean it's not still widespread. A Q2 analysis of spam for 2018 found that May was the most active month for it — when the junk mail accounted for 50.65 percent of email traffic.

Plus, May wasn't even the worst month for spam in 2018. Both January and February showed totals of over 50 percent according to the report.

2. Mobile Phone-Related Scam Calls Saw Approximately a 25-Percent Jump Since 2017

Initially, telephone scammers primarily targeted landlines, but since many people gave up landline numbers in favor of mobile phones criminals had to adapt, too. A report from First Orion analyzed nearly 50 billion mobile phone calls people received across 18 months.

The ...


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5 Qualities Your Next Chief Information Security Officer (CISO) Should Have

5 Qualities Your Next Chief Information Security Officer (CISO) Should Have

In a world where dataism has become the new normal for organisations, security has become a high priority. Or at least, it should be a top priority for organisations. Unfortunately, the reality is different, and every year, many consumers still become the victim of one of the hundreds of data breaches. Any organisation can be hacked, and without sufficient security measures in place, it can become very expensive.

The breach of Equifax, the consumer credit reporting agency that exposed the personal data of some 143 million Americans in June and July 2017, is among the biggest hacks with the biggest impact on consumers. Thus far, the Equifax breach has cost the company US$4 billion. The company’s CEO resigned over the hack, as did its Chief Information Officer and its Chief Security Officer.

Information Security Challenges for Organisations

Unfortunately, protecting your organisations from (would be) hackers is difficult. Organisations face a lot of challenges when it comes to ensuring information security. Many organisations lack adequate staff in security operations and incident response. Detecting digital threads is challenging, and for most organisations, it is not a core competency.

As a result, they lack the data engineers and analysts to ensure proper incident monitoring and detection. Consequently, ...


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Industry 4.0 – The UAE is leading the way in the GCC

Industry 4.0 – The UAE is leading the way in the GCC

This article is brought to you by Gaurav Sharma, Forbes contributor and author of Oilholics Synonymous.​

Visiting oil and gas sites in the United States these days would reveal a palpable shift toward operational digital tools and automated kit across the production chain. Head downstream, and you’ll find ‘digital twins’ of Honeywell’s old workhorse of a plant control system – the TDC 3000 – improving productivity by as much as 10 times over.

Head midstream and ABB’s Mobile Leak Detection system and drones would offer precision “3000 times� greater than legacy systems. Look upstream and oilfield service giant Halliburton’s Integrated Asset Management system might be hard at work gathering copious amounts of site drilling data and feeding it to project managers like never before, leading to a halving of well drilling times.

These are just some of the ‘Industry 4.0’ or the fourth industrial wave technologies currently in play stateside, and rivals of the aforementioned companies are also churning out solutions of their own in a competitive sphere. Unquestionably, the impetus came when the oil price slump squeezed margins of US independents, forcing beyond the box thinking.

The innovators accepted the challenge and the industry was better for it, making the US the epicentre ...


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What is Augmented Reality in Smartphones?

What is Augmented Reality in Smartphones?

Technology moves at lightning speed, and sometimes it’s hard to keep up. There’s one development that you can’t allowed to pass you by: Augmented reality. Augmented reality is a specific type of technology that can superimpose a computer-generated image on top of your view of the real world, creating a composite view of the world that merges the real (reality) with something that is not (the generated image). This technology has made its way into video games, testing situations for extreme jobs, and now, it’s in your pocket. That’s right, your cell phone has the power to become an augmented reality machine. All you must do is use it.

Augmented reality, or AR, has been in our hands for years. One of the most popular mobile apps that uses AR is Snapchat. Snapchat has what are called filters. These filters can be anything from fake makeup to puppy dog ears. When the camera is pointed at a person, the filter is applied in real time, and it looks like you’ve put on flawless makeup or turned into an adorable Dalmatian. Smartphone AR can be used for so much more than covering up that zit with a pretty filter! Here are some ...


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Digital workplace or digital transformation? The destination versus the journey

Digital workplace or digital transformation? The destination versus the journey

The terms ‘Digital Workplace’ and ‘Digital Transformation’ can often cause an element of confusion amongst organisations. Simplifying it, the digital workplace is what organisations are ultimately...

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Why Data Veracity must be a #1 priority for public services

Why Data Veracity must be a #1 priority for public services

Data derives its value not out of its quantity, but out of its trustworthiness. In our increasingly data-driven economy, the consequences of bad data being used by a company or public service cannot...

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Here’s How Big Data Is Changing The Fashion Industry

Here’s How Big Data Is Changing The Fashion Industry

Fashion may not be the first thing that comes to mind when you think of big data, but fashion designers are using big data to create and market their clothing. Fashion appeals to everyone in the...

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The Hard Questions of Hiring For Machine Learning

The Hard Questions of Hiring For Machine Learning

I’ve been thinking a lot about hiring for the machine learning specialization lately. It’s no surprise. New data is emerging almost daily about the rise of machine learning, artificial intelligence...

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