Making Data Simple

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.

Michele Chambers, co-author of "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Business," talks about the market and technology factors that make now the prime time for big data analytics.

Michele Chambers, co-author of "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Business," talks about the market and technology factors that make now the prime time for big data analytics.

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 additional information on these five use cases, visit www.ibm.com/software/data/bigdata/use-cases.html

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 additional information on these five use cases, visit www.ibm.com/software/data/bigdata/use-cases.html

There's no shortage of hype around big data. Consequently, there has been a fair amount of backlash. Now, Tom Deutsch, program director of big data at IBM, has some backlash against that backlash! He speaks out against the people who are spouting negative misinformation - without supporting facts - about actual positive results driven by big data technology.

There's no shortage of hype around big data. Consequently, there has been a fair amount of backlash. Now, Tom Deutsch, program director of big data at IBM, has some backlash against that backlash! He speaks out against the people who are spouting negative misinformation - without supporting facts - about actual positive results driven by big data technology.

David Smith, noted data scientist and vice president of marketing and community at Revolution Analytics, previews a presentation he will make at the Strata Conference in February. The presentation, "Real-time Big Data - from Deployment to Production," will take place during the conference's Data-Driven Business day. Smith will explain what all those big-data buzzwords really mean, how there are some inherent contradictions between them, and why you should care.

David Smith, noted data scientist and vice president of marketing and community at Revolution Analytics, previews a presentation he will make at the Strata Conference in February. The presentation, "Real-time Big Data - from Deployment to Production," will take place during the conference's Data-Driven Business day. Smith will explain what all those big-data buzzwords really mean, how there are some inherent contradictions between them, and why you should care.

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 using big data analytics to outsmart claim fraudsters.

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 using big data analytics to outsmart claim fraudsters.

Noted data scientist David Smith responds to recent criticism in Forbes that data science is a "buyer beware" fad.

Noted data scientist David Smith responds to recent criticism in Forbes that data science is a "buyer beware" fad.

The IBM Institute for Business Value and the Saïd Business School at the University of Oxford conducted a global survey of more than 1100 business and IT executives. The resulting quantitative study, "Analytics: The real-world use of big data," examines the journey that organizations are taking to achieve business value from big data. Rebecca Shockley was one of the research leaders working on the study. In this podcast, she describes the key findings from the report and top recommendations for organizations.

The IBM Institute for Business Value and the Saïd Business School at the University of Oxford conducted a global survey of more than 1100 business and IT executives. The resulting quantitative study, "Analytics: The real-world use of big data," examines the journey that organizations are taking to achieve business value from big data. Rebecca Shockley was one of the research leaders working on the study. In this podcast, she describes the key findings from the report and top recommendations for organizations.