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Big Data

Soccer player predicted as the top rising star - back in November (video)

May 11, 2016 by Jure Rejec

Did you know that Big Data can help us predict who the future soccer stars will be? This is precisely what happened in Riyad Mahrez’s case, PFA Player of the Year, who has conquered the English Premier League with Leicester City.During last year’s Big Data Week Conference in London, Malta-based entrepreneur Valery Bollier correctly...[read more]

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5 Benefits of Big Data for E-Commerce Companies and Shoppers

May 11, 2016 by Sean Kidman
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Online retailers are using big data to create a better shopping experience, boost customer satisfaction and generate more sales.If you have been reading the news, you probably saw the story on how Target was aware of a young woman's pregnancy before her father did. It turns out that when a woman starts shopping for products such as...[read more]

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Emotions: The Next (but not new) Frontier in Artificial Intelligence & Cognitive Computing

May 10, 2016 by Luca Scagliarini

How you “feel” has never been more important in tech. This year, a number of companies are showing an interest in emotions. We’ve always believed in the value of a deeper understanding of text. While meaning and context can tell us so much, we’re leaving a lot of valuable information on the table if we’re not looking at one of the key things that makes us human.[read more]

New Generation of Enterprise Messaging Supports Digital Transformation

May 10, 2016 by Mark Smith

Enterprise messaging is the technology backbone of communications for applications and systems within and between organizations. Both its importance and its complexity are growing as organizations increasingly have to provide real-time responses to business customers and consumers as well as their own business professionals who support...[read more]

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Big Data + Analytics = Beaucoup Bucks

May 10, 2016 by Melissa Thompson

Financial analysts, banks, and institutions are jumping on the big data band wagon because it means more money.[read more]

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Can You Create a New Business Model Based on Big Data?

May 9, 2016 by Ari Amster

The famous tech startup bootcamp, Y Combinator, is best known for connecting promising upstart tech businesses with venture capital. Its second and lesser-known but equally important function, is to coach the owners of those startups toward the best possible business model for their organization. What that model turns out to be is...[read more]

Deep Learning and Context Based Intelligent Search

May 6, 2016 by Daniel Casarin

Enterprises have a treasure trove of content in the form of Word documents, pdfs, emails, text files etc . Finding valuable information in these unstructured data has always been difficult. Traditional enterprise search engines have always been about creating indexes for all the words or phrases in the documents and using it to search...[read more]

3 Ways IoT is Transforming the Logistics & Transportation Industry

May 5, 2016 by Annie Bustos

We’ve covered both IoT implementation and how IoT is revolutionizing the retail customer experience, now it’s time to look at the impacts of IoT for logistics and transportation, an industry that is already implementing connected systems and will continue to do so at a rapid pace over the next few years.IoT for...[read more]

IoT: One of the Largest Technological Advancements Ever

May 5, 2016 by Sean Shado Shado

The further we continue into the future, the more innovation we see. In fact, every year boasts more innovation over the previous year, specifically in the technology field. Such examples of overwhelmingly important tech advances are automobiles, airplanes, and even smartphones. But, it has been quite some time until the last realgame...[read more]

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3 Ways to Use Big Data in FinTech

May 4, 2016 by Konstantin Rabin

Financial technology, or FinTech, applies to any novation in the financial areas including investments, retail banking, lending and many other segments. With the internet and mobile revolution FinTech has turbulently grown. There has been an enormous breakthrough in nearly every single aspect of the financial technologies. It gets more investments, media coverage and adoption as never before. Today I would like to focus on the role of Big Data when it comes to innovating the financial sector and I am going to describe the three uses of the data from the companies I am mostly familiar with.[read more]

Mass digitization: Opportunity or threat to IT?

May 4, 2016 by April Sage

All forms of media have been dramatically transformed by their digitization, including video, music, the classifieds, magazines and pictures. This digital transformation enabled a new business model and was an onslaught that decimated the print and analog industries as we knew them. Now data virtualization is heading for IT.Is that...[read more]

Retail Data Monetization: Are you sitting on top of a retail goldmine?

May 4, 2016 by Ajith Nayar

The majority of sales generated in the 4.5 trillion dollar US retail market is in-store and the volume of transaction data collected at various points in the trading process is immense. This data is a treasure trove of customer insight as well as product performance. While many retailers mine this data to gain specific insights...[read more]

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Enhancing Personalization Through Explicit User Feedback

May 3, 2016 by Huba Gaspar
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A brief account of technologies, practices, and ongoing research that aim to employ "explicit user feedback" in creating enhanced personalized online experiences for users.[read more]

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NPV Considerations for Open Source Big Data Technologies

May 2, 2016 by Paul Barsch

Net Present Value (NPV) offers a compelling look at whether the present value of cash inflows expected from your proposed open source big data project exceed what’s potentially going out in terms of cash.[read more]

What is the biggest challenge for Big Data? (5 years on)

April 28, 2016 by TonyBain

Five years doesn't half fly when you’re having fun!  In this post from 2011 I highlighted some of the challenges facing the “big data revolution” centring on a lack of people with the right skills to deliver value on the proposition.  Fast forward to 2016 and this not only remains true, but is likely the key issue holding back...[read more]