Data quality – Why it matters and how financial services firms can best achieve it

Data quality – Why it matters and how financial services firms can best achieve it

Too many financial services organisations are still failing to implement effective data quality and risk management policies today. Part of the problem is that they typically adopt too much of a...

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3 Reasons Why the AI-pocalypse isn’t Headed Our Way

3 Reasons Why the AI-pocalypse isn’t Headed Our Way

As we continue to invite artificial intelligence into our lives, fear of it taking over jobs — or even the world — are bubbling under the surface. Science fiction and pop culture use robots and AI as villains. Even Elon Musk and the late Stephen Hawking have warned of AI taking over.

With all this input, is it any wonder that the AI-pocalypse is a concern even beyond the realms of fiction? Artificial intelligence is growing in scope and capability. It’s entering our lives from every angle, with smart speakers in our homes to AI assistants at work.

But are we really heading for an AI take over? Well, there’s evidence that suggests not. From AI fails to pure inability, here are three reasons why artificial intelligence won’t take over the world.

Reason one: it’s not as capable as you think

Despite the growing emergence of uses for artificial intelligence, AI is still in its infancy. Bots are still babies. In a way, that might seem scary.

AI already seems capable of so much, from understanding what we say to our smart speakers, to helping us with our health. If it can do all that as an infant, imagine what it will be capable of in ...


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Learn Data Science Without a Degree

Learn Data Science Without a Degree

Many of our students come to Springboard’s Data Science Career Track because they want to learn data science, or they are looking to make a career transition and want a guaranteed job in data science. Learning data science isn’t easy, but there are tons of resources out there to help you get started.

But how do you learn data science? Let’s take a look at some of the steps you can take to begin your journey into data science without needing a degree.

Look for Resources

Resources for learning data science are everywhere. There are various communities such as Datatau, the Kaggle Forums, and the data science subreddit that are friendly to learners, are filled with useful resources, and help keep you current with emerging trends in data science.

Learn a Programming Language

To build a strong foundation in data science, we recommend learning at least one programming language. When picking a programming language, start with looking at Python or R since these are the most commonly used programming languages in data science

Background in Basic Statistics

As a data scientist, you’ll be exercising statistical thinking to analyze and interpret different datasets. Statistics can help you to better understand patterns in data, and extract insights to make ...


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Anyagmozgatás és adatmozgatás az intralogisztikában

Anyagmozgatás és adatmozgatás az intralogisztikában

 

 

big_data_az_intralogisztikaban.pngA cikk eredetileg a Gyártástrend magazinban jelent meg, nyomtatásban.

A negyedik ipari forradalom idején a intralogisztikában nem csak az anyagot szállítjuk és használjuk fel, hanem a keletkező adatokat is. Az adatbányászat a belső anyagmozgatás, a raktározás és a szállítmányozás területén is hozzáadott értéket termel és optimalizálja a folyamatokat. 

[...] BÅ‘vebben!

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5 Easy Methods to Visualize Data in Python Better

5 Easy Methods to Visualize Data in Python Better

Apart from gathering and analysing the data, a data scientist has to present the result of the analysis in a form that is understandable and discernible. Visualizing the data with clear representations and in a neat and concise presentation is essential to drive home the conclusion of the analysis.

As much as the analysis is important, taking time to present the final takeaway points to the appropriate persons is also equally important. A data scientist may need to explain the result of the analysis with the proof to some non-technical bosses or clients and the best way to help them understand is with data visualizations.

As Python is one of the preferred languages for machine learning algorithms, there is a lot of analysis that needs to be represented and delivered in an understandable form. Python has made this easier by having its own libraries, especially for data visualization – matplotlib and seaborn. 

These libraries offer 2D and 3D visualization graphics to create quality representations of data sets with complete options of customization like themes, colours, filters, palettes and various other tools to visualize functions and other complex mathematical computations in its simplest forms.

There are generally five types of data visualization techniques and all ...


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Will Edge Computing IIoT Solutions be a Real Trend in 2019?

Will Edge Computing IIoT Solutions be a Real Trend in 2019?

Is Edge Computing Analytics a real Internet of Things (IoT) trend for 2019 or is it more smoke from analysts and large technology vendors? As large hardware manufacturers like Cisco, HPE or Dell are building specific infrastructure for the edge designed to be more physically rugged and secure, we should believe there will be a lot of IoT money at the Edge.

Working during last months with Aingura IIoT, I have been aware of the difficulties of developing and implement Edge Computing Machine Leaning solutions for the manufacturing industry. The company combine years of industry experience and knowledge in automation (PLCs, SCADAS, HMIs) and electrical and mechanical engineering with a unique Edge Computing distributed system used by Data Scientist to develop Machine Learning algorithms and built Industrial Internet of Things (IIoT) applications for the manufacturing and automotive industries.

However, it is worth asking if clients are ready or interested in implementing these solutions or will continue one more year with the pilots who do not go anywhere.

Here are some personal observations that I believe would help accelerate the implementation of edge computing/machine learning solutions in the Manufacturing industry.

Get help to find the needle in the haystack

With so many companies talking about Industrial Internet ...


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New Expectations for Mastering Data with Machine Learning

New Expectations for Mastering Data with Machine Learning

Despite improvements in technology, implementation of master data management (MDM) solutions have long been a known pain for many organizations pushing to improve data quality and competency. The...

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10 Enterprise Analytics Trends to Look Out For in 2019

10 Enterprise Analytics Trends to Look Out For in 2019

Today’s intelligent world requires more from businesses then they have ever had to deliver. Prioritizing and implementing analytics doesn’t cut it anymore – organizations have to step out of their...

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What it Means to Be a Data-Driven Enterprise and How to Become One

What it Means to Be a Data-Driven Enterprise and How to Become One

In today’s digital economy, it is generally understood that businesses must become data-driven enterprises to improve business performance, create sustainable value for consumers, build and run...

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Predictive Analytics – 5 Examples of Industry Applications

Predictive Analytics – 5 Examples of Industry Applications

Businesses today around the worldhave some portion of their operations being automated, which concurrently has meant that a lot of data about these processes is being collected (from sensors or...

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Data defined digital transformation

Data defined digital transformation

The traditional task of CIOs being responsible for the technology strategy and procurement within an enterprise is no longer straightforward. The CIO and their team have the unenviable task of...

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Skill Acquisition for the Digital Age | Simplilearn

Skill Acquisition for the Digital Age | Simplilearn

The People Matters - Simplilearn study on Skill Acquisition for the Digital Age explores the state of Learning and Development (L&D) function in relation to digital technologies and the inclination of organizations towards online learning methodologies for reskilling and up-skilling of their employees. The study focusses on three asp...Read More.
Free eBook: 2015 High Paying Business Certifications | Simplilearn

Free eBook: 2015 High Paying Business Certifications | Simplilearn

For 91% of hiring managers, a certified professional isn’t just an asset: it is a must. And 84% of recruiters believe that certified professionals are far more productive than their counterparts. So if you’re looking to launch an amazing career in the world of business, investing in a popular, in-demand certification is the way to go. B...Read More.
Free eBook: 9 High Paying Certifications in 2015 | Simplilearn

Free eBook: 9 High Paying Certifications in 2015 | Simplilearn

A certification is proof that you have the skills to perform a particular function. In fact, a certification or two makes your CV get noticed by a recruiter. Here’s a list of the top trending certifications of the year so you can figure out which one is suitable for you. The eBook gives you clarity on the certification process, the scope pos...Read More.
Step-by-Step Guide to CEH Certification | Simplilearn

Step-by-Step Guide to CEH Certification | Simplilearn

The lure and pull of a Certification in Ethical Hacking is undeniable. But do you have all the information at your disposal to be certain you’re making the right choices? Our Step-By-Step Guide to the CEH Certification will clear away those nagging cobwebs. Find inside an exhaustive, end-to-end treatment of the entire certification process, ...Read More.
Your Guide to Six Sigma Certifications | Simplilearn

Your Guide to Six Sigma Certifications | Simplilearn

Six Sigma and Lean Six Sigma are among the most talked-about and sought-after certifications around, but few professionals looking to get certified know which of the various Six Sigma Certifications fits their profile best. This eBook will help you find which Six Sigma track would suit your needs best, and will help you make a better, more informe...Read More.
Report: The Future of IT Jobs in India | Simplilearn

Report: The Future of IT Jobs in India | Simplilearn

Digitization and automation are transforming the way in which businesses interact with their customers and execute their internal processes. However, this dynamic transformation has and will have an impact on human roles. HfS Research, a U.S based business advisory firm, estimates that automation is likely to lead to a 14 percent decline in India&r...Read More.
Free Whitepaper: Considerations of Deploying Enterprise-wide eLearning Content | Simplilearn

Free Whitepaper: Considerations of Deploying Enterprise-wide eLearning Content | Simplilearn

 Cloud-based learning management systems have revolutionized the field of education. An increasing number of enterprises are taking to the cloud to get their employees trained and equipped to face the challenges of the industry.   But what factors should you consider before choosing an LMS solution? This whitepaper helps you understand th...Read More.
Top 10 Features to Look for in Automated Machine Learning

Top 10 Features to Look for in Automated Machine Learning

Following best practices when buildingmachine learning modelsis a time-consuming yet important process. There are so many things to do ranging from: preparing the data, selecting and training...

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The Future of the Education System lies in the Internet of Things

The Future of the Education System lies in the Internet of Things

Internet of Things (IoT) refers to the connection of various electronic and network enabled devices through the internet. This concept is beneficial, especially to the ever evolving education system.

How it Helps Students


It helps students learn at their pace. With IoT, you can use your smartphone to get further clarification about what you learned.
Before online degrees became the future of education, you were limited in terms of what and where you could learn. IoT has opened new opportunities for people that wish to study from anywhere at any time.
IoT enables learners to be open towards asking questions because it is individualized. This means that it increases student engagement.
IoT allows students to track their learning progress and evaluate their performance and results.


How it Helps Educators


IoT gives you access to a number of high-quality teaching materials. You can use the tools provided to create special content for your students and then send it to them directly to their tablets and smartphones.
IoT automates the learning process and allows you as an educator to track student attendance. For those that don't attend class, you can follow up on them individually through the online system, and find out their reasons without making them feel uncomfortable.
IoT also ...


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A roadmap for cultivating a data-driven culture

A roadmap for cultivating a data-driven culture

In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance...

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Power of Artificial Intelligence & Big Data Analytics: Intelligence that Mirrors Human Behaviour

Power of Artificial Intelligence & Big Data Analytics: Intelligence that Mirrors Human Behaviour

For efficient data analysis, digital technologies play an inevitable role in business and Artificial Intelligence and its dominant form, Machine Learning has become the most sought-after technology...

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‘AI Farms’ Are at the Forefront of China’s Global Ambitions

‘AI Farms’ Are at the Forefront of China’s Global Ambitions

Yin You doesn’t look like a key strategic asset. He weighs a little over 100 pounds, has auburn dyed hair, and wears a hoodie emblazoned with the words “Dope Shit.� But in China’s rise to superpower...

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In the dark: The cost of Canada’s data deficit

In the dark: The cost of Canada’s data deficit

Two months after Donald Trump was sworn in as U.S. President, a couple of Princeton economists published a research paper that accidentally suggested a reason why. The findings showed something...

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5 Predictions for the Future of Streaming

5 Predictions for the Future of Streaming

Streaming content services like Netflix and Hulu have revolutionized how we watch TV shows and movies. For a low monthly rate, you can get unlimited access to hundreds to thousands of different pieces of content, available whenever you want them. However, it’s unlikely that these conditions will persist indefinitely. Like any technology or consumer product, streaming will change over time. So what changes could we expect to see in the near future?

Predictions for the Future of Streaming

These are just some of the changes in store for us in the coming years:

1. Increased competition

Perhaps most obviously, we’re going to see a huge rush of competitors coming to the market. Netflix has been the leader in streaming for many years, with services like Hulu, Amazon Prime, and HBO Now not far behind. Now, Disney is planning to launch its own streaming service, and it’s likely that more media companies will be fighting for space in the market in the near future. This increased amount of competition will lead customers to a key dilemma; will it be worth it for them to subscribe to several different monthly services to get access to all the content they want? Or will they choose one service ...


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Why Fear of Disruption Is Driving Investment in AI

Why Fear of Disruption Is Driving Investment in AI

As we begin 2019, Fortune 1000 companies are accelerating their investment in big data and artificial intelligence (AI) initiatives, with an astonishing 91.6% of the executives indicating that their...

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Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

Data engineer may be a comparatively new position that is a hybrid of types between a data analyst and a data scientist. Whereas information scientists are reception making and standardization...

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How Blockchain’s Decentralization Narrative Can Redefine Data Privacy

How Blockchain’s Decentralization Narrative Can Redefine Data Privacy

The true value of blockchain technology can be found in data privacy. Blockchain’s prolonged sentiment as a panacea to the world’s problems throughout 2017 was unambiguously representative of what...

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8 Blockchain Certifications and Courses for Professionals

8 Blockchain Certifications and Courses for Professionals

The vital role that the blockchain plays in the industry is that of trust. Who would trust a third party if there were no blockchains? A Blockchain Network uses the distributed ledger technology to ensure the safety of business assets between member organizations. With the increase in business blockchains, blockchain professionals are in high demand. They are accountable to develop, strategize and implement the blockchain technologies that can heighten the business operations. To ensure the smooth functioning of the work, companies hire professionals who are blockchain certified.

8 top Business Blockchain Professional Certification and Courses

B9lab Academy

B9lab Academy is one of the best academies to get Business Blockchain Professional Certification. The course covers all the important subjects like Ethereum, Hyperledger, and Blockchain Theory. This will boost your ability to make decisions and take your career to the next level.

Association of Certified Anti-Money Laundering Specialists (ACAMS)

Association of Certified Anti-Money Laundering Specialists provides an advanced level training to the blockchain aspirants to transform them into blockchain professionals. The course will infuse the developers with the risk lessening skills by making them understand the blockchain technology, virtual currency, history of virtual currency from e-Gold to Bitcoin, and case studies.

IBM DeveloperWorks

IBM offers courses that make you ...


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The Astonishing Ways BBVA, Spain’s Second-Largest Bank, Uses AI To Transform Itself

The Astonishing Ways BBVA, Spain’s Second-Largest Bank, Uses AI To Transform Itself

BBVA, proclaimed in 2015 that “BBVA will be a software company in the future,” it was undoubtedly met with a fair amount of skepticism. However, beginning in 2007 and continuing to today,...

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Which Countries Are Leading the Data Economy?

Which Countries Are Leading the Data Economy?

Which countries are the top data producers? With data-fueled applications of artificial intelligence projected, by McKinsey, to generate $13 trillion in new global economic activity by 2030, this...

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Digital transformation churn: Why the digital transformation fail rate is so high

Digital transformation churn: Why the digital transformation fail rate is so high

The digitisation of the global economy has had many effects on global enterprises but few are more significant than the overwhelming desire to undergo digital transformation. Modern companies are...

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Five reasons why Data Culture is just as important as Data Science

Five reasons why Data Culture is just as important as Data Science

Data can solve problems, but knowing which problems to solve is the real question Erin is the VP of Sales at your organization. Sales are flat and Erin is growing increasingly anxious about getting...

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Google is named a leader in the 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

Google is named a leader in the 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

This evaluation covers Google Cloud’s core data analytics offerings, including BigQuery, a serverless, managed data warehouse, Cloud Dataproc, a managed Spark and Hadoop service, and Cloud Dataflow,...

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How Blockchain Technology Could Make Internet Applications Faster, Smarter, & Less Expensive

How Blockchain Technology Could Make Internet Applications Faster, Smarter, & Less Expensive

There's been a lot of talk about the wonders of blockchain in the last few years. The concept of "this thing… but with Blockchain" is the new "this thing... but with a computer" when it comes to squatting on patents. Would-be inventors are theorizing that almost anything is better with blockchain, and to an extent they are right.  The security, trust and distributed aspects of blockchain make it a potentially effective way to solve a lot of problems.

Decentralization is Key

The thing that makes blockchain such a promising concept is the idea of decentralization. Traditional, monolithic computer server structures are useful for smaller scale apps where it is vital that one server or party has control. As the number of users increases, however, it becomes harder for one single server to do a good job and that is where blockchain comes in.

With blockchain, several other servers or apps also contribute their processing power. The distributed ledger that is associated with blockchain and the way that all the other parties involved in the processing of the transaction are expected to sign off on each transaction, means that it is much harder to hack or fake what is going on.

Even mobile applications are ...


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Data Engineer vs Data Scientist: What’s the Difference?

Data Engineer vs Data Scientist: What’s the Difference?

Workplace job titles are often far from accurate or precise. Many employees are quick to point out that their job titles don’t align with the work they actually do. Some companies even choose to...

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Understanding the Elements of Artificial Intelligence

Understanding the Elements of Artificial Intelligence

Artificial Intelligence is here to stay. The development of AI is speeding up on a daily basis. Only recently, Google’s DeepMind created the AI AlphaStar that secured a decisive victory against two grandmaster players of the game of StarCraft II. In a series of test matches they played, the algorithm won 5-0.

This victory is a decisive moment for artificial intelligence, as the game of StarCraft II is fundamentally more difficult than the other games where Deepmind’s algorithm already claimed victory. Video games such as Atari, Mario, Quake III or Dota II are a lot less complex than StarCraft II. It is therefore remarkable that the AI, using a deep neural network that is trained directly from raw game data by supervised learning and reinforcement learning, managed to rival and surpass the skill of professional players.

The game requires a combination of changing short-term and long-term goals, adaption to unexpected events and situations with imperfect information. To achieve victory, the developers had to find solutions in fields such as game theory, long term planning (since cause-and-effects are not instantaneous in the game) and real-time actions. The developers of behind AlphaStar believe that the techniques used in this AI can also be relevant ...


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Validating Attrition

Validating Attrition

Continuing to comment on the article in the December 2018 issue of the Phalanx by Alt, Morey and Larimer (this is part 3 of 7; see Part 1, Part 2)

On the first page (page 28) in the third column they make the statement that:

Models of complex systems, especially those that incorporate human behavior, such as that demonstrated in combat, do not often lend themselves to empirical validation of output measures, such as attrition.

Really? Why can’t you? If fact, isn’t that exactly the model you should be validating?

More to the point, people have validated attrition models. Let me list a few cases (this list is not exhaustive):

1. Done by Center for Army Analysis (CAA) for the CEM (Concepts Evaluation Model) using Ardennes Campaign Simulation Study (ARCAS) data. Take a look at this study done for Stochastic CEM (STOCEM): https://apps.dtic.mil/dtic/tr/fulltext/u2/a489349.pdf

2. Done in 2005 by The Dupuy Institute for six different casualty estimation methodologies as part of Casualty Estimation Methodologies Studies. This was work done for the Army Medical Department and funded by DUSA (OR). It is listed here as report CE-1: http://www.dupuyinstitute.org/tdipub3.htm

3. Done in 2006 by The Dupuy Institute for the TNDM (Tactical Numerical Deterministic Model) using Corps and Division-level data. This effort was funded by Boeing, not the U.S. government. This is discussed in depth in Chapter 19 of my book War by Numbers (pages 299-324) where we show 20 charts from such an effort. Let me show you one now from page 315):

 

So, this is something that multiple people have done on multiple occasions. It is not so difficult that The Dupuy Institute was not able to do it. TRADOC is an organization with around 38,000 military and civilian employees, plus who knows how many contractors. I think this is something they could also do if they had the desire.

 

How To Set Up A Server Room For Your Small Business

How To Set Up A Server Room For Your Small Business

It’s more imperative for small businesses to have easy and secure access to important information they need to succeed now than ever before, but many entrepreneurs and hard-working professionals are at a loss when it comes to effectively set up a server room for themselves. Despite the allure of a third-party data hosting service, it’s indisputably true that dedicated, self-operated server rooms remain ideal for small businesses and are much easier to establish than many think.

Here’s how you can set up a server room for your small business, and the common missteps you should learn to avoid ahead of time if you don’t want to end up wasting your business’ money.

Remember why you’re building a server room

The first step towards successfully assembling your own server room is remembering why you’re building one in the first place; you want an in-house operation that’s nonetheless fairly cheap and relatively non-intrusive to the everyday operations of your talented workers. When you keep this fact in mind from the get-go, it becomes much easier to avoid common mistakes that force far too many small businesses to close their doors thanks to sunk costs in an IT dream. For instance, you need to remember that ...


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Nyitott data science órák a Műegyetemen

Nyitott data science órák a Műegyetemen

Már hagyományosnak mondható módon idén is meghirdetjük a BME-s tárgyaink egy részét külsős hallgatók számára. Hiszünk benne, hogy sokaknak tud segíteni egy olyan program, amiben MSc informatikus hallgatókkal együtt kezdik el tanulni az adatelemzés alapjait. Az elmúlt években minden alkalommal sok-sok ember jelezte, hogy szívesen bejárna hozzánk, így aztán minden évben ugyanannyi külsős hallgató indult neki a félévnek, mint amennyien a műegyetemistaként órarendi keretek között elkezdik azt. 

a.jpgEbben a félévben az "Adatelemzési platformok" című tárgyunk indul, amiben egy alapszintű bevezetést tartunk a data science világába: megtanítjuk a Python nyelv alapjait, a RapidMiner adatelemzési szoftvert, bemutatjuk a legfontosabb gépi tanulási feladatok megoldását, illetve valós adathalmazok segítségével rávilágítunk mennyire izgalmas és szellemi kihívásokkal teli ez a szakma. Kevés az olyan rész, mikor valaki csak a táblánál előad, tipikusan egy-egy témát egyből közösen fel is dolgozunk, mindenki előtt ott van a saját laptopja az elmélet és a gyakorlat kéz a kézben jár. A tárgy részletes tematikáját itt találod: leírás.

Az órákat idén február 6-tól tartjuk hetente két alkalommal, szerdánként 8h30-10h csütörtökönként 10h15-12h a Műegyetem lágymányosi kampuszán (Magyar tudósok körútja 2. Q épület).

Ha részt szeretnél venni az órákon, két dologra kérünk:

  • Kérünk gondold át, tényleg lesz-e lehetÅ‘séged az órákon részt venni, illetve hogy tudod-e majd követni azt. A tárgy oktatásánál feltételezzük, hogy valaha már programoztál valamilyen programnyelven, nagyjából tudod milyen műveleteket lehet végrehajtani SQL nyelven, és az Excel különbözÅ‘ furfangjai sem hoznak zavarba. 
  • Nagyon sok külsÅ‘s szokott jelentkezni erre a felhívásunkra, de csak annyi jelentkezÅ‘t fogadunk be, hogy a hallgatók és a külsÅ‘sök száma közel megegyezzen. Ez idén körülbelül 20-25 embert jelent. A jelentkezést alapvetÅ‘en sorrend alapon bíráljuk el. Hagyományosan a blogunk hírlével feliratkozóinak kicsit korábban küldjük ki a jelentkezési linket, így Å‘k elÅ‘nyben vannak; ha ez az elÅ‘ny neked is fontos lehet késÅ‘bb, érdemes feljelentkezni a hírlevélre (jobb fent a blog oldalán).

A jelentkezéseket most a hétvégén el is bíráljuk, ehhez csatlakozási szándékod jelezd felénk az alábbi oldalon való regisztrációval.

JELENTKEZÉS 2019

Nemrég Nagy-Rácz István kollégám összeszedte egy blogposztban milyen adatos képzések érhetők el jelenleg Budapesten. Ha nem jutottál be a fenti képzésre, vagy neked kicsit másra lenne szükséged, itt találsz ötleteket.

Data science képzések - Hol tanítják a big data-t?

Mi a  dmlabbal a legtöbbet úgy oktatunk, hogy egy-egy konkrét csapatnak, cégnek tartunk egyedi képzést, ahol a Megrendelő igényeire szabjuk a tematikát, a használt technológiát, a képzés időpontját és hosszát. Ha ilyen képzési csomag után érdeklődsz, bátran keress meg engem, szívesen átbeszéljük veled mi lenne megfelelő:

Gáspár Csaba
gaspar.csaba@dmlab.hu
+36208234154

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MySQL Tutorial – Understanding The Seconds Behind Master Value

MySQL Tutorial – Understanding The Seconds Behind Master Value

In a MySQL hosting replication setup, the parameter Seconds_Behind_Master (SBM), as displayed by the SHOW SLAVE STATUS command, is commonly used as an indication of the current replication lag of the slave. In this blog post, we examine how to understand and interpret the MySQL Seconds Behind Master value in various situations.

Possible Values of  Seconds Behind Master

The value of SBM, as explained in the  MySQL documentation, depends on the state of the MySQL slave in general, and the states of MySQL slave SQL_THREAD and IO_THREAD in particular. While IO_THREAD connects with the master and reads the updates, SQL_THREAD applies these updates on the slave. Let’s examine the possible values of SBM during different states of the MySQL Slave.

When SBM Value is Null


SBM is always NULL if your slave is stopped, or your SQL Thread is stopped (or not running).
SBM will also be NULL if the IO Thread is stopped, provided the SQL Thread has already processed all events from the relay log. A sample output of SHOW SLAVE STATUS (trimmed to show only values of interest) demonstrates this:


Slave_IO_State:

Master_Host: 172.19.0.13

Slave_IO_Running: No

Slave_SQL_Running: Yes

Seconds_Behind_Master: NULL

Master_UUID: 23b326b1-a452-11e8-91ca-000d3a065e8e

Slave_SQL_Running_State: Slave has read all relay log; waiting for more updates

Retrieved_Gtid_Set: 23b326b1-a452-11e8-91ca-000d3a065e8e:818-389213

Executed_Gtid_Set: 23b326b1-a452-11e8-91ca-000d3a065e8e:1-389213

When SBM Value is Zero or Positive


SBM is going ...


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Validation

Validation

Continuing to comment on the article in the December 2018 issue of the Phalanx by Jonathan Alt, Christopher Morey and Larry Larimer (this is part 2 of 7; see part 1 here).

On the first page (page 28) top of the third column they make the rather declarative statement that:

The combat simulations used by military operations research and analysis agencies adhere to strict standards established by the DoD regarding verification, validation and accreditation (Department of Defense, 2009).

Now, I have not reviewed what has been done on verification, validation and accreditation since 2009, but I did do a few fairly exhaustive reviews before then. One such review is written up in depth in The International TNDM Newsletter. It is Volume 1, No. 4 (February 1997). You can find it here: http://www.dupuyinstitute.org/tdipub4.htm

The newsletter includes a letter dated 21 January 1997 from the Scientific Advisor to the CG (Commanding General)  at TRADOC (Training and Doctrine Command). This is the same organization that the three gentlemen who wrote the article in the Phalanx work for. The Scientific Advisor sent a letter out to multiple commands to try to flag the issue of validation (letter is on page 6 of the newsletter). My understanding is that he received few responses (I saw only one, it was from Leavenworth). After that, I gather there was no further action taken. This was a while back, so maybe everything has changed, as I gather they are claiming with that declarative statement. I doubt it.

This issue to me is validation. Verification is often done. Actual validations are a lot rarer. In 1997, this was my list of combat models in the industry that had been validated (the list is on page 7 of the newsletter):

1. Atlas (using 1940 Campaign in the West)

2. Vector (using undocumented turning runs)

3. QJM (by HERO using WWII and Middle-East data)

4. CEM (by CAA using Ardennes Data Base)

5. SIMNET/JANUS (by IDA using 73 Easting data)

Now, in 2005 we did a report on Casualty Estimation Methodologies (it is report CE-1 list here: http://www.dupuyinstitute.org/tdipub3.htm). We reviewed the listing of validation efforts, and from 1997 to 2005…nothing new had been done (except for a battalion-level validation we had done for the TNDM). So am I now to believe that since 2009, they have actively and aggressively pursued validation? Especially as most of this time was in a period of severely declining budgets, I doubt it. One of the arguments against validation made in meetings I attended in 1987 was that they did not have the time or budget to spend on validating. The budget during the Cold War was luxurious by today’s standards.

If there have been meaningful validations done, I would love to see the validation reports. The proof is in the pudding…..send me the validation reports that will resolve all doubts.

The Challenges to Tackle Before You Start With AI

The Challenges to Tackle Before You Start With AI

Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology’s opportunities in full. There are numerous advancements being made in this regard, and many organizations have taken center stage of the AI world with in depth data analysis and data discovery solutions.

I'm excited to partner with Io-Tahoe. Io-Tahoe is one of the few organizations that have taken on the complications of AI and are endeavoring to achieve something big from this enormous feat. They provide smart data discovery and AI-driven catalog solutions to their clients and help them get actionable insights from their clients’ data.

Potential of AI

The potential of Artificial Intelligence is obvious. Adobe has estimated that they can expect 31 percent of all organizations will start using AI over the coming 12 months. This statistic is backed up by the fact that there are more startups than ever focusing their operations on AI and the services that it provides to the masses.

Roughly 61 percent of organizations that follow innovative strategies have turned to  AI for taking extracts from the data that they previously might have missed. Innovation is an earmark of Artificial Intelligence, and startup ideas that believe ...


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Engaging the Phalanx

Engaging the Phalanx

The Military Operations Research Society (MORS) publishes a periodical journal called the Phalanx. In the December 2018 issue was an article that referenced one of our blog posts. This took us by surprise. We only found out about thanks to one of the viewers of this blog. We are not members of MORS. The article is paywalled and cannot be easily accessed if you are not a member.

It is titled “Perspectives on Combat Modeling” (page 28) and is written by Jonathan K. Alt, U.S. Army TRADOC Analysis Center, Monterey, CA.; Christopher Morey, PhD, Training and Doctrine Command Analysis Center, Ft. Leavenworth, Kansas; and Larry Larimer, Training and Doctrine Command Analysis Center, White Sands, New Mexico. I am not familiar with any of these three gentlemen.

The blog post that appears to be generating this article is this one:

Wargaming Multi-Domain Battle: The Base Of Sand Problem

Simply by coincidence, Shawn Woodford recently re-posted this in January. It was originally published on 10 April 2017 and was written by Shawn.

The opening two sentences of the article in the Phalanx reads:

Periodically, within the Department of Defense (DoD) analytic community, questions will arise regarding the validity of the combat models and simulations used to support analysis. Many attempts (sic) to resurrect the argument that models, simulations, and wargames “are built on the thin foundation of empirical knowledge about the phenomenon of combat.” (Woodford, 2017).

It is nice to be acknowledged, although it this case, it appears that we are being acknowledged because they disagree with what we are saying.

Probably the word that gets my attention is “resurrect.” It is an interesting word, that implies that this is an old argument that has somehow or the other been put to bed. Granted it is an old argument. On the other hand, it has not been put to bed. If a problem has been identified and not corrected, then it is still a problem. Age has nothing to do with it.

On the other hand, maybe they are using the word “resurrect” because recent developments in modeling and validation have changed the environment significantly enough that these arguments no longer apply. If so, I would be interested in what those changes are. The last time I checked, the modeling and simulation industry was using many of the same models they had used for decades. In some cases, were going back to using simpler hex-games for their modeling and wargaming efforts. We have blogged a couple of times about these efforts. So, in the world of modeling, unless there have been earthshaking and universal changes made in the last five years that have completely revamped the landscape….then the decades old problems still apply to the decades old models and simulations.

More to come (this is the first of at least 7 posts on this subject).

Nonprofit Alliance Seeks Amendment To California Data Privacy Law

Nonprofit Alliance Seeks Amendment To California Data Privacy Law

Nonprofits are concerned about negative effects that could come from a new California law regulating how organizations collect and use personal data. The Nonprofit Alliance is looking to amend the law and pressing for “carefully crafted� federal privacy legislation.

As calls for a national data privacy law gain force, an alliance of nonprofit organizations is working with lawmakers in California to amend state legislation that will go into effect next year to clarify that it does not apply to nonprofit organizations.

The measure, set to take effect January 1, requires companies to show users what data is collected on them and what the data will be used for, and to identify any third parties who have been given access to the data. The new law will be enforced by the California attorney general and allows internet users to bring lawsuits if companies fail to adequately protect their data.

The law has sparked concern from trade groups that say they had no opportunity to give input before the bill was passed last summer. They add that California lawmakers didn’t adequately understand how nonprofits use data when they wrote the legislation intending to exclude the community and that the language in the bill limiting their ...


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Afghan Security Forces Deaths Top 45,000 Since 2014

Afghan Security Forces Deaths Top 45,000 Since 2014

The President of Afghanistan, Ashraf Ghani, speaking with CNN’s Farid Zakiria, at the World Economic Forum in Davos, Switzerland, 25 January 2019. [Office of the President, Islamic Republic of Afghanistan]

Last Friday, at the World Economic Forum in Davos, Switzerland, Afghan President Ashraf Ghani admitted that his country’s security forces had suffered over 45,000 fatalities since he took office in September 2014. This total far exceeds the total of 28,000 killed since 2015 that Ghani had previously announced in November 2018. Ghani’s cryptic comment in Davos did not indicate how the newly revealed total relates to previously released figures, whether it was based on new accounting, a sharp increase in recent casualties, or more forthrightness.

This revised figure casts significant doubt on the validity of analysis based on the previous reporting. Correcting it will be difficult. At the request of the Afghan government in May 2017, the U.S. military has treated security forces attrition and loss data as classified and has withheld it from public release.

If Ghani’s figure is, in fact, accurate, then it reinforces the observation that the course of the conflict is tilting increasingly against the Afghan government.

 

5 Ways an Enterprise Data Layer Drives Innovation

5 Ways an Enterprise Data Layer Drives Innovation

Innovation is critical to the success of any organization. In the enterprise, the introduction and development of enterprise data layers are instrumental in driving innovation and business agility,...

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AI Helps Amputees Walk With a Robotic Knee

AI Helps Amputees Walk With a Robotic Knee

A movie montage for modern artificial intelligence might show a computer playing millions of games of chess or Go against itself to learn how to win. Now, researchers are exploring how...

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Self-driving cars, robots: Identifying AI ‘blind spots’

Self-driving cars, robots: Identifying AI ‘blind spots’

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have “learned” from training examples that don’t match what’s...

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Tips to Overcomes 5 Biggest Challenges of IoT Software Testing

Tips to Overcomes 5 Biggest Challenges of IoT Software Testing

According to Gartner, there were more than 6.4 billion Internet of Things (IoT) devices in use in 2016. This number is expected to increase up to more than 20 billion by 2026. These devices include self-driving cars and refrigerators that automatically place orders to the supermarket. Testing of these devices is one of the biggest challenges that testers face.

Effective testing is extremely important. However, what is the most suitable approach?  Here are a few considerations for IoT software testing, and some tips that you utilize to assist you to address them.

1. There Are Numerous IoT Platforms

All of the IoT devices have their own hardware. They depend on the software to drive it. App software will also fit in with IoT devices. This issues commands to the device and analyze data collected by the device.

Testers are advised to study the case properly. This is because, once you know which operating systems and devices to test, you can concentrate most of your testing on these combinations. It suggested that you run smaller sanity tests on less common combinations.

2. Various IoT Communication Protocols to Test

Nowadays, IoT devices use numerous different communication protocols to interact with each other and with the controller.

Therefore, testers can ...


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Business Connectivity: The Pros and Cons of Wired and Wireless Offices

Business Connectivity: The Pros and Cons of Wired and Wireless Offices

Nowadays, wireless networks have become the norm, with the majority of people enjoying wi-fi in their homes, when staying in a hotel, or even in their cars. As such, you may forget that there is also another option: wired networks.

Because of the prevalence of wireless, it can be easy to overlook wired systems, thinking that they are old and obsolete. However, for businesses, both wired and wireless networks can offer different benefits. As such, whether you are building or updating your IT system, here are the pros and cons of both options, to help you decide which is best for your business.

Wired Networks: The Pros

Increased Security. With a wired network, devices must be physically wired into the network, something that can make it much harder for cyber hackers to gain access. This can make these systems preferential for businesses that deal with vast amounts of confidential and personal data.

More Control. With a physical connection required, this means companies can maintain control over the number of devices able to access the network. In turn, with fewer devices accessing the network, this could lower the risk of new malware and viruses infecting infrastructure.

Faster Network. Unlike a wireless system that can be subject ...


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Mobile App Development: Maintaining an Environment of Data Integrity and Security

Mobile App Development: Maintaining an Environment of Data Integrity and Security

According to statistics that measured from the third quarter of 2016 to the first quarter of 2018, there were more than 1,400 new mobile iOS applications released daily through the Apple App Store. During this same timeframe, the Google Play Store added more than 6,100 android apps per day.

Judging from these figures alone, it’s not difficult to ascertain that the app development industry is booming. From tools that play music at the touch of a button to resources to help you cook better, order your groceries more quickly or turn you into a household DIY expert, there are myriad apps for every skill set and interest level.

As such, it comes as no surprise that the development sphere is likewise booming. In fact, the market size for this industry is currently nearing $80 billion and is expected to reach $100 billion by 2022. Yet, with so much growth surrounding this sector alongside the influx of customer demand, there can be an impetus to move an app from idea inception to retail platform in a matter of days, eschewing the levels of security and testing normally put into practice for a resource of this caliber.

When this occurs, there can be major holes ...


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Digital transformation in 2019: The top five tips CDOs need to know

Digital transformation in 2019: The top five tips CDOs need to know

A confluence of technologies – including cloud, AI, ML, and IoT – and new business models disrupting the competitive dynamics of many industries are putting digital transformation at the top of...

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Big Data and the Need for a Data Strategy

Big Data and the Need for a Data Strategy

Big data. We’ve all heard and talked about it. Big data is a major component of every industry and hospitality is not an exception. Knowing how to recognize and utilize big data to your...

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Advantages of graph databases: Easier data modeling, analytics

Advantages of graph databases: Easier data modeling, analytics

In his role as principal data scientist at consulting firm Booz Allen Hamilton Inc., Kirk Borne sees the world in terms of data connections. “Life is about who is connected to whom and what is...

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Is The Cloud Safer Than Some Health Care CIOs Think? Seven Best Practices For Data Security

Is The Cloud Safer Than Some Health Care CIOs Think? Seven Best Practices For Data Security

Today, as regulatory concerns are increasingly addressed for health care, CIOs can use the public cloud in several key ways to improve the care their patients receive — especially as facilities...

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Data scientist jobs: Where does the big data talent gap lie?

Data scientist jobs: Where does the big data talent gap lie?

Data science is one area of the digital sector that is desperately short of talent. In fact, IBM thinks data science will account for 28% of all digital jobs by 2020, but worryingly, the same report...

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Starting digital transformation? Focus on the cultural changes

Starting digital transformation? Focus on the cultural changes

With the implementation of electronic health records and other healthcare information systems, there has been explosive growth in the amount of data captured by provider organizations. Just as these...

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Why Infrastructure Flexibility is Critical to the Data Lifecycle

Why Infrastructure Flexibility is Critical to the Data Lifecycle

It’s not a coincidence that we associate the word lifecycle with data. From ingestion to transformation and archival – data is alive. It is the fuel that drives the modern enterprise and the...

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Women Leading In AI (WLinAI) Demand Tough Controls On Discriminatory Algorithms

Women Leading In AI (WLinAI) Demand Tough Controls On Discriminatory Algorithms

Back in the 1980s, Artificial Intelligence (AI) just had to look good in the movies and be able to power fancy talking cars, zappy spaceships and various forms of fantastical cyborgs who would one...

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Theranos, from World Hero to World Zero! 10 lessons for Silicon Valley and For Every Business Person

Theranos, from World Hero to World Zero! 10 lessons for Silicon Valley and For Every Business Person

‘Bad Blood’, by far my preferred book of 2018 and probably of the last few years!

As a X-mass gift to my son I ordered the book ‘Bad Blood: Secrets and Lies in a Silicon Valley Startup’ from John Carreyrou, a two-time Prize-winning investigative reporter of the Wall Street Journal. A book describing the rise, the hype and fall of the blood-testing startup Theranos, its CEO/founder Elizabeth Holmes and COO/boyfriend Ramesh 'Sunny' Balwani. A true story masterly written by John Carreyrou.

As my son already started another book I ended up reading it first. What a roller-coaster, what a thriller, what an unbelievable story, what a journalism! I just couldn’t stop reading and couldn’t believe reading the details of a story I knew was a true business story. Even if you would try to invent it, you would fall short of this reality.

What's the story?

Theranos was a unicorn (valuation >$1B) promising to disrupt the medical industry and revolutionize the laboratory testing world by producing multiple fast blood-testings just with a drop of blood. It was founded by Elizabeth Holmes in 2003 after leaving Stanford University as a 19-year-old. In 2015, Forbes named her the youngest and richest female entrepreneur billionaire with a $9B valuation ...


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Using Google Tag Manager to Dynamically Generate Schema/JSON-LD Tags

Using Google Tag Manager to Dynamically Generate Schema/JSON-LD Tags

One of the biggest takeaways from SearchFest in Portland earlier this year was the rapidly rising importance of semantic search and structured data — in particular Schema.org. And while implementing...

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Új tényező a rezsicsökkentésben

Új tényező a rezsicsökkentésben

 

uj_tenyezo_a_rezsicsokkentesben_1.jpg A cikk eredetileg a Gyártástrend magazinban jelent meg, nyomtatásban.


Az energiapiac liberalizációja egy új eljárást tett szükségessé az energetikai szektorban, ez pedig nem más, mint az energiafogyasztás minél pontosabb előrejelzése, az adatalapú döntéstámogatás.

[...] BÅ‘vebben!

Megosztom Facebookon! Megosztom Twitteren! Megosztom Tumblren!

Automated Replenishment Solutions: Where Smart Home Meets eCommerce

Automated Replenishment Solutions: Where Smart Home Meets eCommerce

Smart replenishment solutions have been retailers’ poster child for a few years now; being part of elaborate inventory management systems, the technology helps businesses reduce out-of-stocks by up to 30%, achieve supply chain transparency and create a consistent customer experience.

When it comes to Smart Homes, however, Amazon Dash buttons remain the best-known (and somewhat lackluster!) attempt to automate routine grocery shopping, and thus introduce a new level of convenience to modern connected home products which often require complex setup and management on a user’s part.

What changes have taken place since Dash buttons were launched three years ago? Is there a future for automatic replenishment solutions within the Home Automation domain? Does the current level of Smart Home software development allow for complete household replenishment automation and how could users and eCommerce brands benefit from taking the smart approach to online shopping? These are just a few issues I’ll cover in my new article.

Introduction to Household Replenishment Solutions

In a nutshell, a home replenishment system is a combination of hardware and software components that allows users to create shopping lists and place orders on an eCommerce website. For example, via voice assistants like Alexa, by scanning QR codes on product packages with ...


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Top Five Things You Need to Know about Cryptocurrency Wallets

Top Five Things You Need to Know about Cryptocurrency Wallets

The term “cryptocurrency� is gaining impetus in recent times. While most of the individuals might think that cryptocurrency wallets are merely the digital forms of a real, physical wallet, there is much more to the overall concept of cryptocurrency wallet that you should know about. Quite contrary to the common notion, cryptocurrency wallets are not used for storing cryptocurrencies. Rather, a typical cryptocurrency wallet is used for storing or saving the pair of public and private keys that provide access to the users to their respective digital data or belongings. Owing to the rising trend of using the secure cryptocurrency wallets, most of the organizations out there look forward to top-class cryptocurrency wallet development services out there for enhanced results.

What is a Cryptocurrency Wallet?

A cryptocurrency wallet is referred to as a specialized software program that is known for storing public and private keys and interacting with different Blockchain networks to allow the users to send as well as receive digital currencies, and monitor the overall balance. When you wish to make use of the cryptocurrency currencies like Bitcoin, Ethereum, and others, you will require a digital wallet. The overall choice of the particular cryptocurrency wallet to utilize is by far ...


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Blockchain and IoT: Technologies Paired to Ensure Valid and Secure Transactions

Blockchain and IoT: Technologies Paired to Ensure Valid and Secure Transactions

The Internet of Things (IoT) offers a level of convenience which is set to revolutionize the world, for consumers and businesses alike. Yet, in terms of security and operability, this technology is still far from perfect.

Although a great deal of research is still required, it is widely believed that IoT’s flawed elements can be accounted for with blockchain. IoT devices often lack the proper memory and computing power necessary to run breach-proof security protocols. Blockchain provides these features through the use of a decentralized ledger and encrypted data. Such features of blockchain IoT security aid in providing a balance to current IoT security protocols, especially when dealing with the storage of data and payment procedures.

The Benefits of Applying Blockchain to IoT

Many IoT devices are made rather small to be more user-friendly and convenient — think of a smartwatch or a thermo sensor. Due to this, however, they often lack memory as well as proper processing power, which makes it difficult to ensure the appropriate security level for the data these devices are capable of tracking.

Interaction with these devices is often somewhat limited, therefore, users may be totally unaware if their device has been accessed from an outside source. Meanwhile, these ...


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An Administrative Weakness

An Administrative Weakness

Another post is response the comments to this blog post:

The Afghan Insurgents

The comment was “…the insurgents are one side of the coin and the other is the credibility of the government we are trying to create in Afghanistan…If the central government is seen as corrupt and self serving then this also inspires the insurgents and may in fact be the decisive factor….”

This immediately brought to mind David Galula’s construct, which was based upon four major points (see pages 210-211 of America’s Modern Wars):

  1. Insurgents need a cause
  2. A police and administrative weakness
  3. A non-hostile geographic environment
  4. Outside support in the middle to late states.

He specifically state that: “the first two are musts. The last is a help that may become a necessity.”

Now, the problem is that we never took the time to measure an “administrative weakness” or even define what it was. Nor did David Galula. Furthermore, there is also probably an “administrative weakness” or two on the guerilla side. If the culture of Iraq/Afghanistan/Vietnam make it difficult to create government structures and armed forces that are highly motivated, unified and not corrupted, well I suspect some of those same problems exist among the guerillas drawn from that same culture. Therefore, to measure this requires some way of defining what these “administrative weaknesses” are, but also quantifying them, and then determining how they affected both (or more) sides. Needless to say, this was not going to be done in the initial phase of our analysis. We were never funded to conduct follow-up analysis.

This is the problem with David Galula’s construct. There is no easy way to measure it or analyze it. Galula offers no definition of what an “administrative weakness” is. If he does not define it, then how do I define it for his “theory?”

One does note that Galula in his description of the Viet Cong in 1963 states that:

The insurgent has really no cause at all: he is exploiting the counterinsurgent’s weaknesses and mistakes….The insurgent’s program is simply: “Throw the rascals out.: If the “rascals” (whoever is in power in Saigon) amend their ways, the insurgents would lose his cause.

As I note on page 48 of my book:

This was a war that eventually resulted in over 2 million deaths and insurgent force in excess of 300,000. As it is, one could infer from Galula’s statement that he felt that the insurgency could be easily defeated since it was based upon “no real cause.”  We believe that this view has been proven incorrect by historical events.

Clearly identifying insurgent cause and administrative weakness was also a challenge for David Galula.

Data science képzések – hol tanítják a bid data-t?

Data science képzések – hol tanítják a bid data-t?

Ebben a bejegyzésben összegyűjtöttük a budapestről elérhető data science és big data témájú képzéseket, és a velük kapcsolatos legfontosabb tudnivalókat. Ha adatokkal akarsz dolgozni, az első döntés amit meg kell hoznod, hogy technológiai oldalról érdekel a téma, vagy üzleti oldalról. Ha a technológia foglalkoztat leginkább, akkor fókuszálj a python-ra és az R-re elsősorban, hisz ezek az adatos munka alapvető eszközei manapság.

data_science_big_data_kepzesek.png

Data science és big data képzések akadémiai szinten

 

Amennyiben már szereztél valamilyen alapdiplomát és a további képzési terveidet is egy felsőoktatási intézmény által nyújtott képzésen szeretnéd valóra váltani, akkor az alábbi képzések érhetőek el Budapest egyetemein.

BME - Informatikus MSc Adat- és Médiainformatika mellékspecializáció / Gazdaságinformatikus MSc Analytical Business Intelligence specialization

Helyszín: Budapesti Műszaki és Gazdaságtudományi Egyetem, Budapest

Időtartam: 7 szemeszter

�r: államilag finanszírozott felsőoktatási képzés, vagy 120 000 Ft/félév

Következő képzés indulása: 2019. szeptember

Website: https://www.tmit.bme.hu

Szerintünk: ha mérnöki alapdiplomával rendelkezel, vagy üzleti diplomával szeretnél gyakorlati tudást szerezni, akkor ez a Magyarországon elérhető egyik legjobb mesterképzés.

A Dmlab két tantárgyat oktat itt:

Valamint két szabadon választható tárgyat is oktatunk:

A tárgyakra lehetőség van külsősként is jelentkezni, erről minden évben hírt adunk itt a blogon.

 

Corvinus - Üzleti adatelemző szakirányú továbbképzési szak

Helyszín: Budapesti Corvinus Egyetem, Budapest

Időtartam: 3 szemeszter

�r: 350 000 Ft/félév

Következő képzés indulása: 2019. szeptember

Website: http://bi.uni-corvinus.hu/

Szerintünk: a képzés szakfelelőse az a Kő Andrea, aki hosszú évek óta oktat adatelemzőket, ezért a klasszikus adatelemzés iránt érdeklődők mindenképpen jó kezekben lesznek ezen a képzésen.

 

CEU - Master of Science in Business Analytics

Helyszín: Central European University, Budapest

Időtartam: 10 hónap / 22 hónap

�r: 15 000 EUR

Következő képzés indulása: 2019. szeptember

Website: https://economics.ceu.edu/program/master-science-business-analytics

Szerintünk:  Kiváló oktatói gárda, networking lehetőségnek sem utolsó, angol nyelvű oktatás. Oktatókat és volt hallgatókat egyaránt ismerünk, úgy látjuk, hogy hasznos, és alkalmazható tudást ad.

 

BGE - Data Scientist képzés az SAP támogatásával

Helyszín: Budapest

Időtartam: három szemeszter, hetente 3x45 perc előadás és 3x45 perc gyakorlat

�r: nincs információnk

Következő képzés indulása: Ismeretlen, érdeklődj az intézménynél

Website: https://uni-bge.hu/kkk/Szervezeti-egysegeink/oktatasiszervezetiegysegek/MODSZINTTANSZKIO/hirek/SAP-adattudos-kepzes-indul-2018.-februarjaban-a-Kulker-Karon

Szerintünk: Nem ismerjük a képzést, és az oktatókat sem. Előnye lehet, hogy SAP technológiákra épül, így aki ezen a területen akar elhelyezkedni, annak stabil alapokat fog adni.

 

Óbudai Egyetem - Big Data Adatelemző Szakértő képzés

Helyszín: Óbudai Egyetem, Budapest

Időtartam: 2 félév

�r: 350 000 Ft/félév

Következő képzés indulása: Érdeklődj az egyetemen

Website: http://uni-obuda.hu/oktatas/szakiranyu-tovabbkepzesek/big-data

Szerintünk: 2018 őszén startolt volna el a képzés hazai szakemberekkel az oktatói gárdában, de azóta nincs hír róla és az, hogy a képzés weboldala sem él, nem ígér sok jót.

 

Data science és big data témájú vállalati képzések

 

Kürt Akadémia Data Science képzés

Helyszín: Budapest

Időtartam: 2 félév, 20 alkalom

�r: 1 280 000 Ft

Következő képzés indulása: 2019. március 22.

Website: https://kurtakademia.hu/kepzesek/data_science_kepzes

Szerintünk: Nagyon széles áttekintés a területről, ennek megfelelően nem mindenhol mély kétkezi gyakorlati oktatás, leginkább olyanoknak javasoljuk, akik hídemberek akarnak lenni a saját területükön adatos gondolkodással. A program szakmai vezetője kollegánk, Nagy-Rácz István így akár oktatói, akár hallgatói kontaktot szívesen adunk és a programmal kapcsolatos kérdésekre is szívesen válaszolunk.

 

Big Data Fundamentals for Managers

Helyszín: Jarl Konferenciaközpont, Budapest

Időtartam: 2 x 8 óra

�r: 249 000 Ft

Következő képzés indulása: a website szerint hamarosan

Website: https://bigdataoktatas.hu/

Szerintünk: A képzés a Nextent brandje alatt fut. Az oktatókat ismerjük: több munkahelyükön is a gyakorlatban tanulták meg a szakmát. A képzést inkább olyan embereknek ajánljuk, akik a big data technológiai megoldásaival szeretnének megismerkedni, valamint döntéshozói szinten kíváncsiak a felmerülő problémák megoldási mintáira.

 

Spark Institute at IBS AI Strategy & Data-driven Leadership Képzés

Helyszín: International Business School, Budapest

Időtartam: 7 alkalom

�r: 595 000 Ft

Következő képzés indulása: 2019. május

Website: https://www.sparkinstitute.eu/termek/ai-strategies-for-leaders/

Szerintünk: Rövidebb inkább üzleti fókuszú képzés az alapokról, a képzésben szoktunk előadásokat tartani, a képzések szervezőjét jól ismerjük, színvonalas képzésekre lehet számítani.

 

Green Fox Academy

Helyszín: Green Fox HQ, Budapest

Időtartam: A képzés teljes hossza nettó 18 hét + 3x1 hét szünet. (Heti 5 nap, napi 8 óra, hétfőtől péntekig.) Ezt akár 4 héttel is le tudod rövidíteni, mert ha jól haladsz a tananyaggal, korábban vizsgázhatsz.

�r: 990 000 - 1 399 000 attól függ, hogy előre vagy utólag fizetsz, és szeretnél-e segítséget kérni az elhelyezkedéshez

Következő képzés indulása: �prilis 1.

Website: https://www.greenfoxacademy.com/szakiranyaink#Data-Science

Szerintünk: az Akadémia a szorongató munkaerőpiaci helyzetre válaszul egy klasszikus bootcamp típusú képzési modellt ajánl: teljes munkaidőben, valós projekteken dolgozva, mentorok szakmai irányítása alatt 0-ról lehetsz junior fejlesztő. Data Science szakirányuk is van, ez idén indul először, még nem végzett az első évfolyam, de mi már láttuk őket előadni arról a projektről, amin éppen dolgoznak.

 

Data36 Data Science Képzések

Helyszín: Budapest

Időtartam: változó hosszúságú, 2 óra - 3 hónap

�r: 8 900 - 195 000 Ft

Következő képzés indulása: 2019. március 6.

Website: https://data36.com/data36-data-science-kepzes-naptar

Szerintünk: a képzéseket Mester Tomi tartja, aki a Prezinél kezdte el megtanulni a szakma csínját-bínját, majd egy saját adatelemzési tanácsadó céget épített. Ezt követően egy termékfejlesztéssel foglalkozó cégnél volt adatelemző, mígnem visszatért a data science oktatáshoz. Magyarországon és Európa több városában is tart bevezető típusú képzéseket, valamint online képzési is vannak. Mindegyikre a gyakorlatiasság és az alapoktól való építkezés a jellemző.

Data science és big data online képzések

 

Data Science Specialization - Coursera

Helyszín: Online

Időtartam: 8 hónap

�r: Ingyenesen elvégezhető, de oklevelet csak a fizetős verzió ad

Következő képzés indulása: Bármikor el lehet kezdeni

Website: https://www.coursera.org/specializations/jhu-data-science

 

Data Science A-Zâ„¢: Real-Life Data Science Exercises Included - Udemy

Helyszín: Online

Időtartam: 21 óra

�r: 199 USD, de gyakran vannak akciók

Következő képzés indulása: Bármikor el lehet kezdeni

Website: https://www.udemy.com/datascience/

Szerintünk: mindkét képzés nagyon gyakorlatias, az eszközökben szerzett tapasztalatok mellett több-kevesebb sikerrel, de próbál elemzési szemléletet is átadni. A Coursera-s inkább a gépi tanulási irányban erősebb, míg az Udemy-s kurzus a klasszikusabb adatelemzési irányokban (SQL, alapvető statisztikai módszerek, adatvizualizáció).

Összefoglaló

 

Széles a lehetőségek tárháza, ha az adatos világban szeretnénk tanulni. A fenti képzések legtöbbje azoknak az egyéneknek szól, akik személyes döntést hoztak arról, hogy szeretnének ezzel a területtel megismerkedni.

A data scientistekkel és big data szakemberekkel kapcsolatos munkaerőhiány megoldására azonban egy másik lehetőség is van: a cégen belüli tehetségek képzése és belső adatos csapat képzése. Mi a Dmlabnál évente számos alkalommal tartunk egyedi tematika mentén szervezett vállalati képzéseket, ahol a cégek munkavállalói valós problémák - nem ritkán saját on-the-job problémák - megoldása mentén tanulhatják meg a szükséges data science, gépi tanulás, AI vagy big data ismereteket, amelyeket a képzést követően egyből tudnak a napi munkájukban kamatoztatni.

 

Ha érdekel téged ez a lehetőség, keress minket további információkért.

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The Upcoming ITIL 4 Overhaul: What You Need to Know! | Simplilearn webinar starts 20-02-2019 19:00

The Upcoming ITIL 4 Overhaul: What You Need to Know! | Simplilearn webinar starts 20-02-2019 19:00

The first major update since 2007 is coming this quarter to ITIL®, (the IT Infrastructure Library from AXELOS). Join our webinar with ITIL expert Manuel Lloyd on Wednesday, February 20, 2019, at 2:00 PM Eastern Time. to learn what you need to know about this impending overhaul to the popular framework of best practices for delivering IT service...Read More.
How Asia’s Transformation Could Shape the World’s Urban Future

How Asia’s Transformation Could Shape the World’s Urban Future

Asia is ground zero for the most significant challenge of the 21st century: sustainable urbanization. If the billions of people cramming into the cities of the Pacific Rim and South Asia can not only...

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How the Internet of Things Will Affect the Travel Industry in 2019

How the Internet of Things Will Affect the Travel Industry in 2019

The Internet of Things (IoT) has moved mainstream, making daily life easier for everyone. Nearly one in five adults in the United States has access to a smart speaker in their home, and that number will only continue to grow.

Smart technology doesn’t just help us in our homes, assisting in playing music and turning off lights—it’s also a strong presence in today’s world of travel.

In 2016, for example, Delta Airlines invested $50 million into a sophisticated bag-tracking system that notifies passengers of their bags’ location via push notifications through the Delta app. If a passenger misses their connecting flight, the new system helps employees to locate the bag and retag it so the passenger can be reunited with their luggage at their final destination.

So, what are other ways the IoT affects the travel industry, and what smart services should we be looking forward to in 2019?

What’s in Place Now?

There are many smart technologies already in place in the travel industry that are primed for real growth this year. These additions make traveling easier and more efficient for travelers and for the industry as a whole.

Airport Navigation Assistance

The hurried pace inside the airport can often be frustrating for travelers, making navigation ...


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Using IoT and Computer Vision to Build a Stand-in Robot for Remote Workers

Using IoT and Computer Vision to Build a Stand-in Robot for Remote Workers

A group of IoT and computer vision specialists went on a mission to solve one of the biggest challenges of remote work. Their journey led them to build an autonomous smart robot to allow...

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How AI Has Revolutionized Online Learning

How AI Has Revolutionized Online Learning

While Western Society isn’t equipped with many rights of passage, college is a widely accepted step that many view as necessary in order to enter into the workforce. In fact, with the progression of the world, having a degree is often a minimum qualification for most quality jobs. However, with the price of college increasing nearly eight times faster than wages, it’s rare to secure yourself an affordable education in America.

While many might have their vision set on attending a traditional four-year institution, this isn’t often the most cost-effective solution. Current college students know that the direction of education is online. This type of learning allows for massive flexibility so that you can structure your degree around your chaotic life schedule. In fact, online education is now more popular, effective, and affordable than ever thanks to advances in artificial intelligence (AI) that have entirely rescoped receiving an education from your computer.

Smarter Alternative

Pioneers in AI have constructed a smart alternative to online education with the help of AI. The advanced algorithms of AI adaptive programming can provide students with personally structured one-on-one educations that avoid education bias.

This adaptive learning system allows for different learning models to be constructed based on individual ...


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Top 5 Digital Transformation Trends In Automotive For 2019

Top 5 Digital Transformation Trends In Automotive For 2019

Nowadays, consumers want seamless 24/7 connectivity—anything less just won’t do. That’s why this coming year, we’ll be seeing the automotive industry focusing more on connected automobiles—enhanced...

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The Role Of Data In The Age Of Digital Transformation

The Role Of Data In The Age Of Digital Transformation

It might be an understatement to say that today’s business environment has become hyper-competitive, and the companies that aren’t continuously reinventing their business — with data at the...

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6 Reasons Why You Need to Use a Big Data E-commerce System

6 Reasons Why You Need to Use a Big Data E-commerce System

E-commerce grows rapidly and creates a lot of data. Without processing, this information is useless. Big Data analytics is an important instrument that allows solving many issues of the industry and provides a lot of different benefits. But are there any disadvantages? What is the role of Big Data in e-commerce? What company is the greatest Big Data analytics vendor? Let's discuss.

Use of Big Data in e-commerce to solve common problems

Over the last several years, income from the goods sold via the Internet has doubled. For example, more than 300 million active users visited Amazon in 2015, but only in September 2017, there were 183 million people. We can see the same processes on such websites like eBay, PayPal, etc. As a result, users create a huge amount of data. The process is simple: the more users are on the websites, the more information they create. So, here it’s necessary to make a decision. Either you ignore this issue or use all the data to advance your business approach. So, if you choose the second variant, there are some pros of Big Data in the e-commerce sphere:


Trend predictions. Special systems pull data from all social media and browsers and, as ...


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4 Examples of Computer Vision and NLP in Healthcare

4 Examples of Computer Vision and NLP in Healthcare

Artificial intelligence is transforming healthcare. AI healthcare companies are using machine learning algorithms, computer vision and NLP in their healthcare technologies to understand everything...

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Hausser wielding chalk

Hausser wielding chalk

The Battle of Prokhorovka took place on 12 July 1943 (and for several days after, depending on definition). The most famous part of the fighting was the attack from the Soviet XVIII Tank Corps and XXIX Tank Corps against the Leibstandarte SS Adolf Hitler Division.

Several stories posted on the web and I a gather a few books mention something like: “Several German accounts mention that Hausser had to use chalk to mark and count the huge jumble of 93 knocked-out Soviet tanks in the Leibstandarte sector alone.”

Now, this makes for an interesting scene: General Hausser, the 62-year old founder of the Waffen SS, is crawling around the battlefield marking up 93 tanks with chalk. With the Totenkopf SS Division having to continue the offensive on the 13th and Das Reich SS Division in the days after that, I would think that the SS Panzer Corps commander would have a few more important things to do at this moment. Also suspect that significant parts of the battlefield were still under enemy observation. Its gets a little hard to imagine that Hausser was out there with chalk counting tanks.

Does anyone know the original source of this story?

What is a Security Token Offering (STO) and Could it Replace the ICO?

What is a Security Token Offering (STO) and Could it Replace the ICO?

In 2017, there were 875 Initial Coin Offerings (ICOs), raisingUS$6,23 billion, which equals on average US$7,12 million per ICO. In 2018, there were 1257 ICOs that raised US$7,85 billion, which comes down to an average of US$ 6,25 million. Not surprisingly, the vast majority of these ICOs were done in the first months of 2018. In the past four months of 2018, the total amount raised was $873 million. There are no details yet on the deals done so far in 2019, but it can be safe to say that the amount will not be high. In the past years, we have seen the rise and fall of the Initial Coin Offering. 

Source: TokenData, Node Blockchain Research

The ICO appeared in 2013 when the Mastercoin project raised US$5 million in the first ever ICO. One year later, Ethereum raised US$15 million for the further development of Ethereum. Unfortunately, with the rise in value of cryptocurrencies, we have also seen a significant increase in scammers who tried to get rich quickly. These scammers negatively affected many honest startups who saw the Initial Coin Offering as a relatively simple way to raise funds for their project.

The Era of the ICO is Over

Nowadays, doing an ...


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Can a Hybrid Cloud Strategy Boost IT Transformation Adoption?

Can a Hybrid Cloud Strategy Boost IT Transformation Adoption?

Breaking out of old perceptions about the role of IT departments be the key to being part of companies’ overall digital transformation strategies. Change may be hard, especially when...

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The Importance of Clean Data: How It Drives and Improves Event Marketing ROI

The Importance of Clean Data: How It Drives and Improves Event Marketing ROI

When it comes to spreading the news about a new product launch or service offering, piquing the interest of customers and prospects alike and simply improving the visibility of your brand, trade shows can be a valuable business investment. In fact, this business sector alone is a 13.2 billion dollar industry, making it a relevant and viable advertising route for both B2C and B2B companies.

Yet, presenting the case to either host or attend a trade show can be a challenging sell to upper management, especially if marketing budgets are already stretched thin and other initiatives such as sales campaigns are ramping up, requiring all in-house and field teams on deck. With the average show costing exhibitors more than $1350 to attend due to travel costs, hotel stays, booth materials and more, one has to prove that the expenditure will result in an improvement for the company’s bottom line, though this step is often easier said than done.

This is due in large part to the fact that with events such as trade shows, it can be difficult to prove a measurable ROI. Why? With so many moving parts and quick, on-the-fly presentations, it can be hard to gauge just how many ...


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5 Ways Technology is Making Hiring Easier

5 Ways Technology is Making Hiring Easier

Many people don’t think about how much risk is involved with hiring someone. Making a job offer involves putting a lot of trust in a person you don’t really know very well. Businesses lose thousands or even million dollars a year in hiring costs and turnover, which can make onboarding new employees a very expensive process.

Finding the right candidates is essential—it helps to minimize costs while providing the company with important assets. Business leaders rely on talented employees to move their organizations forward and improve the bottom line. However, the job market is becoming more complex every day. The good news? HR managers don’t have to base their decisions solely on intuition anymore. New business tools and business resources emerge continually, and the human resources field is benefiting immensely from the latest technological innovations. Here are five ways technology is helping hiring managers make good hiring decisions.

1. Artificial Intelligence Is Expanding the Capabilities of HR Professionals

Just about every industry has been impacted by advancements in artificial intelligence (AI), and HR is no exception. In hiring, artificial intelligence is expanding the capabilities of HR professionals by combing through and analyzing the candidate pool to come up with the most promising people, ...


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How to build an API for a machine learning model in 5 minutes using Flask

How to build an API for a machine learning model in 5 minutes using Flask

Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response. As a data scientist consultant, I want to make impact...

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Our Next Phase of Growth: Enterprise Data Catalogs

Our Next Phase of Growth: Enterprise Data Catalogs

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa...

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Why Machine Learning is Finally Ready to Leave the Lab

Why Machine Learning is Finally Ready to Leave the Lab

In large, that’s because businesses are still suffering from a chronic shortage of raw data, and the skills to interpret it effectively. This hasn’t stopped companies from making serious investments...

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Bernard Fall Quote

Bernard Fall Quote

We have gotten several interesting comments to this blog post:

The Afghan Insurgents

One comment stated in part that “….I am thinking the road building, school building, and all that has zero impact on winning the people…..”

This reminds me of a Bernard Fall quote related to the Vietnam War. I used it as the introduction to Chapter 14 (page 147) of my book America’s Modern Wars:

Civic action is not the construction of privies or the distribution of anti-malaria sprays. One can’t fight an ideology; one can’t fight a militant doctrine with better privies. Yet this is done constantly. One side says, “Land reform,� and the other side says, “Better culverts.� One side says, “We are going to kill all of those nasty village chiefs and landlords.� The other side says, “Yes, but look, we want to give you prize pigs to improve your strain.� These arguments just do not match.  Simple but adequate appeals will have to be found sooner or later.

 Bernard Fall, 1967

 

Parascript Creates Artificial Intelligence Software That Streamlines Access To Your Data With Unequaled Precision

Parascript Creates Artificial Intelligence Software That Streamlines Access To Your Data With Unequaled Precision

Today, we caught up with Parascript VPs Bill Johnson and Greg Council to discuss their new offering, FormXtra.AI, what differentiates it from other technologies and how its impact on document...

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Role of Artificial Intelligence and Machine Learning in Software Development

Role of Artificial Intelligence and Machine Learning in Software Development

AI and ML have penetrated every sector. So, if you want to get to college, maybe an AI robot will determine if you can get in. You see a driverless car plying on the road, you know that AI has played a role in it. How can the software development be left behind?

Take, for instance, visual recognition of a person. If the person disguises himself and a snap is taken, can an ordinary computer recognize him as the same? A typical conventional software development team cannot possibly come up with an algorithm that will feed all the rules helping in recognizing a human in any disguise.

Enter AI and ML. Here, the rules and actions are not fed to the computer. But the curated domain-specific data is fed into algorithms to deduce features and patterns that are important. The point to be noted is that the output of ML and AI models can even surprise human intelligence.

What does a typical software development cycle contain?

The traditional software development cycle starts with the requirement definition or the technical specification.


Technical specification
Design
Development wherein coders using a programming language to develop the codes.
Testing and Quality analysis where the built prototypes are tested to see if they ...


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9 IoT Predictions for 2019

9 IoT Predictions for 2019

By 2020, the Internet of Things (IoT) is predicted to generate an additional $344B in revenues, as well as to drive $177B in cost reductions. IoT and smart devices are already increasing performance metrics of major US-based factories. They are in the hands of employees, covering routine management issues and boosting their productivity by 40-60% [1].

The following list of predictions explores the state of IoT in 2019 and covering IoT impact on many aspects of business and technology including Digital Transformation, Blockchain, AI, and 5G #BigIdeas2019.

IoT Prediction 1: Growth in Data and Devices

By the end of this year, there will be are around 3.6 billion devices that are actively connected to the Internet and used for daily tasks according to IT Pro [8]. With the introduction of 5G that will open the door for more devices, and data traffic. You can add to this trend the increase adoption of edge computing which will make it easier for business to process data faster and closer to the points of action [5].

IoT Prediction 2: IoT and Digital Transformation

IoT is a key driver of digital transformation in several industries. Sensors, RFID tags, and smart beacons have already started the next industrial revolution. Market ...


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AI Powers Mastercard’s New Authentication Process

AI Powers Mastercard’s New Authentication Process

Have you ever had a legitimate credit card transaction declined on the Web or your smartphone? It’s a real hassle, to be sure. But now, thanks to a new payment protocol being introduced by Mastercard...

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IBM and Vodafone form $550M venture to develop cloud, 5G and AI business solutions

IBM and Vodafone form $550M venture to develop cloud, 5G and AI business solutions

IBM is one of the world’s biggest system integrators, but to get closer to where enterprises are actually doing their work, it’s been inking partnerships with companies that build devices and run the...

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Cognitive Computing: More Human Than Artificial Intelligence

Cognitive Computing: More Human Than Artificial Intelligence

In 2011, two episodes of Jeopardy stunned the world when the best Jeopardy players in the history squared off against IBM’s Watson Cognitive Computing System and were soundly beaten. For many, this...

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Forecasting the Iraqi Insurgency

Forecasting the Iraqi Insurgency

Photo by Stephen Jaffe/AFP/Getty Images

Photo by Stephen Jaffe/AFP/Getty Images

[This piece was originally posted on 27 June 2016.]

Previous posts have detailed casualty estimates by Trevor Dupuy or The Dupuy Institute (TDI) for the 1990-91 Gulf War and the 1995 intervention in Bosnia. Today I will detail TDI’s 2004 forecast for U.S. casualties in the Iraqi insurgency that began in 2003.

In April 2004, as simultaneous Sunni and Shi’a uprisings dramatically expanded the nascent insurgency in Iraq, the U.S. Army Center for Army Analysis (CAA) accepted an unsolicited proposal from TDI President and Executive Director Christopher Lawrence to estimate likely American casualties in the conflict. A four-month contract was finalized in August.

The methodology TDI adopted for the estimate was a comparative case study analysis based on a major data collection effort on insurgencies. 28 cases were selected for analysis based on five criteria:

  1. The conflict had to be post-World War II to facilitate data collection;
  2. It had to have lasted more than a year (as was already the case in Iraq);
  3. It had to be a developed nation intervening in a developing nation;
  4. The intervening nation had to have provided military forces to support or establish an indigenous government; and
  5. There had to be an indigenous guerilla movement (although it could have received outside help).

Extensive data was collected from these 28 cases, including the following ten factors used in the estimate:

  • Country Area
  • Orderliness
  • Population
  • Intervening force size
  • Border Length
  • Insurgency force size
  • Outside support
  • Casualty rate
  • Political concept
  • Force ratios

Initial analysis compared this data to insurgency outcomes, which revealed some startlingly clear patterns suggesting cause and effect relationships. From this analysis, TDI drew the following conclusions:

  • It is difficult to control large countries.
  • It is difficult to control large populations.
  • It is difficult to control an extended land border.
  • Limited outside support does not doom an insurgency.
  • “Disorderlyâ€� insurgencies are very intractable and often successful insurgencies.
  • Insurgencies with large intervening third-party counterinsurgent forces (above 95,000) often succeed.
  • Higher combat intensities do not doom an insurgency.

In all, TDI assessed that the Iraqi insurgency fell into the worst category in nine of the ten factors analyzed. The outcome would hinge on one fundamental question: was the U.S. facing a regional, factional insurgency in Iraq or a widespread anti-intervention insurgency? Based on the data, if the insurgency was factional or regional, it would fail. If it became a nationalist revolt against a foreign power, it would succeed.

Based on the data and its analytical conclusions, TDI provided CAA with an initial estimate in December 2004, and a final version in January 2005:

  • Insurgent force strength is probably between 20,000–60,000.
  • This is a major insurgency.
    • It is of medium intensity.
  • It is a regional or factionalized insurgency and must remain that way.
  • U.S. commitment can be expected to be relatively steady throughout this insurgency and will not be quickly replaced by indigenous forces.
  • It will last around 10 or so years.
  • It may cost the U.S. 5,000 to 10,000 killed.
    • It may be higher.
    • This assumes no major new problems in the Shiite majority areas.

When TDI made its estimate in December 2004, the conflict had already lasted 21 months, and U.S. casualties were 1,335 killed, 1,038 of them in combat.

When U.S. forces withdrew from Iraq in December 2011, the war had gone on for 105 months (8.7 years), and U.S. casualties had risen to 4,485 fatalities—3,436 in combat. The United Kingdom lost 180 troops killed and Coalition allies lost 139. There were at least 468 contractor deaths from a mix of nationalities. The Iraqi Army and police suffered at least 10,125 deaths. Total counterinsurgent fatalities numbered at least 15,397.

As of this date, the conflict in Iraq that began in 2003 remains ongoing.

NOTES

Christopher A. Lawrence, America’s Modern Wars: Understanding Iraq, Afghanistan and Vietnam (Philadelphia, PA: Casemate, 2015) pp. 11-31; Appendix I.

Real-Time Data Analytics Aims to Reduce Traffic Fatalities

Real-Time Data Analytics Aims to Reduce Traffic Fatalities

MetroLab Network has partnered withGovernment Technologyto bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data and innovation...

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IoT Data Needs a Sharing Protocol

IoT Data Needs a Sharing Protocol

IoT devices produce a ton of data, but most of that data gets siloed in proprietary networks and clouds or cast away at the edges of networks even though real secondary and tertiary market...

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Changing landscapes: The design of cities in the age of digital transformation

Changing landscapes: The design of cities in the age of digital transformation

As the “smart city� concept catches on worldwide, it continues to divide opinion. Digital technology to enhance the welfare of citizens, Big Brother dystopia or snazzy city marketing label? “…...

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Smart Cities Need Better Traffic Data, Rideshare Drivers Could Help

Smart Cities Need Better Traffic Data, Rideshare Drivers Could Help

If there’s a bane to big city life, it’s traffic. I found myself stuck in an Uber in the middle of a traffic jam. And when I got to thinking about how bad the traffic was, it blew my mind. We’ve put...

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