Big Data Research
December 18, 2014
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options far more rapidly than old-fashioned physical techniques. However, the incredible productivity of computational prototyping carries a downside: far more candidate molecules can be simulated than can reasonably be assessed by human researchers. The bottom line is that when you build bigger haystacks, you need more powerful tools for finding the golden needles that may be buried deep within.
December 9, 2014
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive support, creating a business case, putting a team together, conducting proof of concept, quantifying benefits realization and socializing results for enabling analytics driven organizational change.
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.
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.
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.
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.
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.
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—
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.
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?