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.
December 5, 2014
We live in the time of profound technological shifts driven by the ever-increasing availability of data. This post discusses some of the ways data and analytics are impacting our lives; it is also a call to action, to think out of the box and look for new applications and data-driven solutions.
December 1, 2014
SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes to data access and information management.
November 24, 2014
Last month I introduced the Big Data for Social Good Challenge and since then it has opened for submissions with data sets from around the globe plus lots of prize winning opportunities. You might have seen that Chip and Jason are in—are you?
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 14, 2014
Each time I am called upon to consult with a business, I ask the same question: “What is your ultimate goal with this project?” Often it is to increase sales via correctly identifying their potential audience or customers.
November 13, 2014
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.
Exclusive session highlights from Insight 2014
November 13, 2014
There was no shortage of information about Informix and the Internet of Things at IBM Insight 2014. Multiple sessions from such speakers as Fred Ho, chief technologist for Informix Warehouse at IBM, and Lalitha Krishnamoorthy, program director for Informix engineering at IBM, covered everything from implementation, to data management, to what the future holds. With additional support from hands-on floor demos and visualizations, the Internet of Things was brought to life.
November 10, 2014
At the annual DMA global conference for data-driven marketers we explored best practices and new tools, predicting future trends for a marketing profession undergoing significant transformation.