June 26, 2014
Conversational fluency is fundamental to consumer adoption of personal adviser applications of cognitive computing. IBM's cognitive-computing platform, Watson, drives harmonious conversations in multichannel customer environments. Conversational engagement is fundamental to Watson realizing its core value as a data-driven decision-support tool for disparate business, consumer and other applications.
June 25, 2014
Building confidence in the big data and analytic initiatives requires good governance. Data from a variety of sources, and in different formats, heightens the need for strong, proactive governance. Health information management professions area ideal candidates for this critical need.
June 24, 2014
Big data is everywhere and enterprises require an architecture that supports analysis and insight upon all data sets. The next generation architecture for big data and analytics helps illustrate this concept and ways organizations can harness the power of big data today.
June 24, 2014
Introducing InfoSphere BigInsights for Hadoop v3.0 featuring Big SQL to enable enterprise grade Hadoop.
June 23, 2014
“There will always be more data than we can use or manage,” says Richard Lee, this week’s IBM Big Data and Analytics Hero. “We simply need to understand what range of questions we are attempting to answer and size accordingly, while doing no harm to our ability to answer future questions yet imagined.”
June 20, 2014
In an increasingly competitive and polarized marketplace with rising customer expectations, the traditional means of competitive differentiation are being challenged as never before. To respond, retailers need to evolve their focus to become customer-centric in both strategy and execution. This means personalizing every stage of the customer’s path and this can be done by leveraging big data and analytics.
June 19, 2014
Prioritizing data mining projects is a delicate art, equivalent to the decisions that R&D managers face every single day. How should you prioritize your data mining efforts and allocate your limited resources most effectively? Most important, how do you decide what NOT to work on?
June 19, 2014
Data science is extremely important in today’s data-driven world, but is only effective if it can be efficiently executed in a production environment. Find out about an essential best practice to make your data science effective.
June 18, 2014
Understanding and responding to client needs across digital channels in real time is not easy. Find out how Wimbledon fans around the world help the AELTC to better manage their digital presence.
June 17, 2014
Mario Faria is a data and analytics leader focused on driving change and delivering business results. He believes that in 5 to 10 years “all companies will have the power of Google or the NSA.”