How Natural Language Processing Is Transforming BI

How Natural Language Processing Is Transforming BI

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

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

BI is already adjusting to NLP

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


Read More on Datafloq
How to Use Data to Monitor Your Competition

How to Use Data to Monitor Your Competition

Everybody in this day and age is well-familiar with the power of big data and contemporary machine learning operations, but few business owners and working professionals seem to have a solid grasp on how to use data to monitor the competition. This is unfortunate, as recent digital innovations have made keeping an eye on your competition easier and cheaper than ever before.

Here’s how you can harness the power of data to monitor your competition, and what your company will need to do to guarantee that it maintains a competitive advantage in the market.

Start on social media

There are many ways to use data to monitor your competition, but by far the easiest is to tap into popular social media platforms, which possess reams of lucrative data just waiting to be exploited by savvy companies. You should seriously be asking yourself what kind of social media strategy your competitors are using from the get-go; first and foremost, which platforms are they on, and which do they dedicate the most time and resources towards? Furthermore, you should be asking yourself how the competition is garnering user engagement, which is just as important as garnering more overall views.

Take a deep dive into how you ...


Read More on Datafloq
How Will IBM’s Acquisition Affect Red Hat?

How Will IBM’s Acquisition Affect Red Hat?

ZD Net reported that IBM's acquisition of Red Hat is the biggest business deal to hit the open source market in history. For those of us who have grown up with Red hat's distributions alongside releases like Ubuntu and Mandrake, seeing them being acquired by a powerhouse like IBM bodes well for the company. Red Hat is a flagship in the world of Linux and it's unlikely that IBM will change the name since it risks losing the brand loyalty of hundreds of thousands of users. However, this acquisition could have a lot more far-reaching consequences for the tech world at large and for Red Hat directly.

Open Shift May Be Coming into Its Own

One of the notable things that IBM has been angling for is the presentation of Open Shift, Red Hat's comprehensively developed Kubernetes interface. In recent years, Red Hat's marketing of Kubernetes has put them on the radar of a lot of major firms and quite a lot of these companies have adopted the open source solution. Companies such as IBM’s direct cloud competitors fall into this group. However, Open Shift was not nearly as well marketed as Kubernetes, despite it being just as well-designed and implemented as ...


Read More on Datafloq
How Big Data Is Redefining Ad Networks

How Big Data Is Redefining Ad Networks

The rapid rise of big data in virtually every realm of economic activity has caused a flurry of activity across the market as business owners, and hard-working professionals try to cash in on this exciting trend. Despite the renewed attention being paid to big data lately, however, many commentators are still paying pitifully little attention to how big data is set to redefine ad networks, which could be the most important way that it reshapes our material lives.

Here are some of the ways that continued innovations in big data could redefine ad networks as we know them, and how our consumer lifestyles will soon never be the same.

Big data is already changing advertising

To comprehensively understand how big data is redefining ad networks, you need to have a basic understanding of how it’s already changed the advertising industry. Despite the fact that many proponents and critics of big data alike frequently talk about it as though it were some forthcoming innovation, making use of software to sort through dizzying sums of information has been a vital part of the market for years now. The way that companies like Amazon link hands with Madison Avenue to deliver you enticing content like never ...


Read More on Datafloq
How the Internet of Things Affects Your Data Center?

How the Internet of Things Affects Your Data Center?

The Internet of Things is very much a disruptive technology from a data center perspective. When it was initially announced, the IoT sounded as though it could change the face of the industry and make computers more integrated into things. This was great news for data centers since it meant they could look forward to deeper incorporation into the industry and wider use cases across a larger number of areas.

While data centers have anticipated that the IoT was likely to change their hardware, few expected that the IoT would lead to such massive sweeping changes in data center management paradigms as we see today. Information Week notes how technology like Edge Computing has impacted data centers showing that these impacts are widespread and potentially industry-changing. But that's what we expect from disruptive technology, right?

Connectivity to Aid The IoT

The IoT depends heavily on interconnectivity between devices and servers. This is one of the core elements behind the establishment and maintenance of a data center - the ability to create and maintain connections between servers. The IoT's demands, however, are far more massive than anything data centers have experienced in the past. No one user, no matter how big, could generate as ...


Read More on Datafloq
How Will IoT Impact Big Data?

How Will IoT Impact Big Data?

With the advent of IoT will come a massive demand for storage for Big Data. According to Forbes, once IoT gets underway we're likely to be flooded with data coming from IoT devices. While this is a valid concern, the fact of the matter is that Big Data is a perfect match for IoT and as more and more companies adopt the IoT standard, Big Data will come to play a huge part in how a company utilizes its IoT devices. Big Data allows for a unique way for isolating and tracking pertinent metrics to ensure that IoT devices are used to their fullest capability. As we can see, IoT stands to impact the Big Data fraternity in large part, thanks to its very existence.

Storage for IoT Collected Big Data

Big Data from IoT isn't a misuse of the word 'big'. Cisco estimates that by the close of 2019, we may be seeing as much as 500 zettabytes per year in data from the IoT. That works out to five hundred trillion gigabytes of data. In order to deal with IoT devices transmitting data constantly to the database, companies are looking at adopting platform-as-a-Service subscriptions, to utilize the flexibility of cloud ...


Read More on Datafloq
How Deep Learning Delivers For Deep Learning Apps

How Deep Learning Delivers For Deep Learning Apps

Deep Learning is possibly one of the best modern examples of what marketing would call a 'disruptive technology'. Investopedia states that disruptive technology is any technology that can alter the way a business of an entire industry works significantly. In the case of Deep Learning applications, these can benefit almost any industry immensely, but until recently the ability to integrate deep learning into applications has been limited because of an inability to incorporate it with existing hardware. That is, until now.

The Giants have Spoken

Recently, NVidia released the libraries that can utilize the processing power of their GPU for end-to-end analytics processing. According to NVidia's website, RAPIDs seeks to optimize analytics data preparation and processing and enable users to directly tap into the latent power of their GPU's. Seeing NVidia adopt a forward-thinking approach of embracing Deep Learning technologies bodes well for the technology going into the future. Networking and infrastructure giant Cisco also got in on the act, announcing a partnership with NVidia in the production of the C480ML server series. By partnering together, these companies have handed business and industry unique tools for experimentation and development of deep learning applications.

Stronger Through Integration

The power of large companies working together, committed ...


Read More on Datafloq
How Machine Learning Can Take a Load Off Network Management

How Machine Learning Can Take a Load Off Network Management

Few things have been watched with such breathlessness in recent years as the rapid rise of machine learning into virtually every realm of our lives. Still, many misconceptions about machine learning and how it’s going to impact our economy are still floating about, and innumerable business owners are unsure of what to believe when it comes to adopting machine learning and AI for their own purposes. Some have resigned on the issue altogether and believe that machine learning is nothing more than a buzzword that can’t possibly impact their businesses.

Here’s why they’re wrong, and how machine learning can substantially reshape your company – starting by taking a huge load off network management.

Machine learning deployment strategies are starting to take shape

Where once artificial intelligence and machine learning were merely trendy words used to describe far-off technologies, they’ve become an everyday reality. Machine learning deployment strategies are starting to become commonplace in the market are more companies embrace the help of complex algorithmic processes to optimize their operations while cutting the costs of doing business. Still, coming up with a comprehensive machine learning deployment strategy isn’t something that can be done overnight, and it can backfire in your face if it’s done ...


Read More on Datafloq

Privacy Policy

Copyright © 2018 BBBT - All Rights Reserved
Powered by WordPress & Atahualpa
X