In this insightful podcast, Mike Wittenstein, one of the world's top practicing customer experience designers, explains why organizations need to anticipate customer needs – and how they can go about doing just that.
Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For
Claims fraud is a serious issue for insurance companies. Estimates are 10%-20% of claims are fraudulent. That costs the companies major money, and in turn, it causes costs to rise for consumers. Kim Minor, insurance industry marketing manager at IBM, explains how leading insurance companies are
Based on his recent blog post, “Why Static Stinks,” Tom Deutsch, program director of IBM big data portfolio, further explains why non-personal recommendations – or “static” – are bad. Deutsch states that it is important to understand not only the trends of consumers, but who they are as people,
In this “Talking Big Data” podcast, IBM's program director of the Big Data Portfolio, Tom Deutsch, speaks with IBM's social media lead for big data, David Pittman, on his encounters with IBM customers engaged in big data initiatives.
Welcome to part 2 of Delaney Turner's interview with IBM Champions Alex Philp, Founder and CTO of TerraEchos and Ivo-Paul Tummers, CEO of Jibes. In part 1, they explored strategies and algorithms these innovators are using to transform volume, variety and velocity into business value for their
There's more to a big data strategy than the data itself. Listen as two IBM Champions talk about the methodologies, algorithms and technologies they use to transform volume, variety and velocity into business value for their clients.