Big Data Research

Cognitive computing: Programming the artificial mind

November 20, 2014
When you want to take artificial intelligence out of the realm of imagination and poetry, and bring it squarely into practical reality, you need computational tools. The tools need to help your cognitive application developers write the leanest models possible. Developers need frameworks, languages and libraries for building and tuning neural networks and other cognitive constructs for most efficient parallel processing of individual data inputs and the outputs of the nodes within a vast artificial neural network. You can acquire these tools from various sources, such as IBM Watson Developer Cloud. And there are as many approaches for building computational applications that learn from data and automate cognitive processes as there are for building traditional application logic. Read More

Cognitive computing as a wearable prosthetic

November 6, 2014
Wearable cognitive prosthetics sounds like science fiction, but it’s easily within the reach of today’s technology. From a healthcare analytics standpoint, image-analytics wearables could help many people who suffer from diverse memory, perception and learning impairments.  Read More

The CDO is in the driver's seat of the new data-driven business

November 5, 2014
Big data has matured, moving beyond the peak of its initial hype and is moving ahead into its promised plateau of productivity. Read More

#getsimple with your data and get back to innovating

October 31, 2014
Developments in digital technology have created the deluge of information known as big data. Workers in all industries struggle to confront staggering amounts of information and return to creative and innovative work. But further technological developments in cloud-based services may be the solution to helping reap the benefits of big data without suffering the anxiety of information overload. Read More

Winning the race with analytics: The speed advantage

October 24, 2014
2014 marks several significant shifts in the era of big data, and business executives around the globe cannot afford to ignore them. The most significant change is that velocity is now the value driver for big data. IBM’s sixth annual analytics study finds that organizations differentiating themselves with speed-driven data and analytics practices can significantly impact business performance and competitive position. Read More

10 reasons to love IBM InfoSphere BigInsights for Hadoop

October 15, 2014
IBM InfoSphere BigInsights is an industry-standard Hadoop offering that combines the best of open source software with enterprise-grade features. Let’s talk about some key features of the distribution and the top ten reasons to love it— Read More

Who is the chief data officer?

Getting to know today’s hero of data and analytics

October 3, 2014
Chief data officers are leading the charge to transform their organizations to be data-driven and capitalize on the tremendous opportunities data and analytics are creating for data leaders. Hailing from a variety of technical and analytical backgrounds, CDOs have the unique opportunity to shape their new emerging role. Read More

Why is analyzing text so hard?

September 30, 2014
How can we take documents, email or social media (and beyond) to show what they represent? Read More

The chief data officer: Tomorrow’s corporate rock stars

September 30, 2014
It’s pretty clear by now: data is the new natural resource. I spent the last two days at IBM’s Chief Data Officer (CDO) Strategy Summit, along with 120 participants, most of which were CDOs, de-facto CDOs and future CDOs. We can all certainly see why this new role is rock star material, but what about the reality of the role today? Read More

Why is big data talked about so much?

September 29, 2014
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-Hadoop, machine learning and much more. Will you join us? Read More

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