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Big Data


Implement Big Data Strategies Sans Big Headaches with CIOs On-Board

May 31, 2016 by Anand Srivastava

 Have you heard about the CDOs and their rise to power! If yes, then you are rather following the advances of Big Data, closely enough. Termed as the Chief Data Officers, these individuals have grown in number over the years— surpassing 1,000 by the end of 2015. Most analysts predict another boom in their recruitment and by 2019 we...[read more]

Tensorflow – Google’s artificial intelligence system for large scale machine learning

May 26, 2016 by Jagadish Thaker

TensorFlow is an open source system from Google applied for large scale machine learning processes for deep insights. This open source software library is used for numerical computations with the help of data flow graphs. TensorFlow was originally developed by the Google Brain team for its research and production purposes on its own...[read more]

Themes from a Chief Data Officer Forum – the 180 day perspective

May 26, 2016 by Peter James Thomas

The author would like to acknowledge the input and assistance of his fellow delegates, both initially at the IRM(UK) CDO Executive Forum itself and later in reviewing earlier drafts of this article. As ever, responsibility for any errors or omissions remains mine alone.     IntroductionTime flies as Virgil observed some 2,045...[read more]

Data Detox: The Importance of Cleaning Your Data

May 26, 2016 by Greg Olson

 Imagine enjoying years of everything going your way.  You land a great job, you have an amazing family and friends, and you live in your dream home in your dream city.  In fact, the only real problem that you have is finding the time to fit everything and everyone into your busy lifestyle.  But, rather than sacrifice...[read more]

3 Reasons How Big Data is Improving the Consumer Experience

May 25, 2016 by Faizan Raza

Big Data is impacting everything from the world of entertainment, to the way we communicate with friends and family. In large part, our perception of the world around us can both be attributed to, and feed the Pandora’s box that is Big Data. The good news (unless you’re a privacy advocate) is this data is more accessible than...[read more]


From GPS to Genomes: “Big Data” Expanding Its Reach

May 25, 2016 by Particia Dimick

The future of computing is at an exciting, if ambiguous crossroads, with some of the biggest players in the industry, players like Intel, AMD, and NVidia starting to stray off the beaten path of relentlessly pursuing the time-honored tradition of Moore’s law: doubling chip density (and consequently halving prices) roughly every 18 months...[read more]

Next Generation of Product Information Management Empowers Digital Business

May 24, 2016 by Mark Smith

Organizations in all industries face various difficulties in managing product information. The most serious is providing complete, engaging information to consumers and customers on the internet. Newly developed products, mergers and acquisitions, changes to pricing and promotions in online commerce spur business growth, but these...[read more]

4 HUGE Misconceptions About Business IT Security

May 24, 2016 by Kyle Cebull

When it comes to IT security, many business owners think that hackers are only targeting large businesses. We see things like the Target and Home Depot breach in the media and we think they’re the only ones having trouble with hackers. But the fact of the matter is that more and more, hackers are turning to small businesses to try to...[read more]

Top 5 criteria to consider in a data protection provider

May 24, 2016 by April Sage

Your organization’s data is money unaccounted for on the balance sheet, and it must be protected. A secure production site with no single point of failure goes a long way, but disaster recovery is the insurance that keeps you running in case of a fire, cyber attack, or accidental database wipe. Many factors, most importantly...[read more]

Two Approaches to Scalable Database Design

May 23, 2016 by Eran Levy

Any form of application used for data analysis is stringently dependant on its ability to retrieve queries fast. However, when working with larger or more complex datasets, as well as an increasing amount of concurrent users, the performance depends largely on the underlying analytical database – whether this is built into the...[read more]

7 Reasons Non-Analysts Should Understand Data Modeling

May 20, 2016 by Eran Levy

For many non-technical individuals in the business world, data modeling can seem like a strange and somewhat terrifying realm. Even those who are data-savvy and regularly consult and analyze data in their day-to-day operations will often view modeling as perplexing under-the-hood stuff that is best left to data analysts or IT staff.To an...[read more]

The Data Science Market: Where We Are

May 20, 2016 by Linda Burtch

With the increase in use of data science and predictive analytics, how has this changed the quantitative hiring market?[read more]


The Simplicity of Virtual Reality Means It's Closer Than You Think

May 18, 2016 by Rick Delgado

When people think virtual reality, they usually picture the future. Hollywood has long portrayed VR as one of the perks everyday people will experience in most science-fiction movies and shows. Talk to almost anybody and tell them we’re on the verge of virtual reality becoming commonplace and they’ll likely say it will be too expensive...[read more]


5 Ways Big Data is Improving Gaming Experience

May 13, 2016 by Rehan Sheikh

With $20 billion in annual revenue in the United States alone, the gaming industry is a behemoth in the way people spend their free time. Technology continues to evolve that makes gaming even more inviting and social – and the way developers implement big data has plenty to do with the success the industry is seeing.Big data has improved...[read more]

Why we love these 5 data visualization tools (and you should, too!)

May 13, 2016 by Jagadish Thaker

If you are from the finance, sales, marketing or operations sector, then you must have noticed that massive data is crawling into your everyday life. No doubt it will keep growing with a good reason. The only problem is how you get results out of the data before making any kind of decisions.For example, if you are having terabytes of...[read more]