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
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
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-
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.
In this “Talking Big Data” podcast, Tom Deutsch, program director of IBM's Big Data Portfolio, spoke with IBM's social media lead for big data, David Pittman, on the question: “Who is best to own the data?”
What is “event processing”? What are the similarities and differences between complex event processing and stream computing? Why would you want to use these techniques? Roger Rea, IBM InfoSphere Streams product manager, answers these questions and others.
With so many conversations about big data, it is inevitable that there will be some mis-information and misunderstandings, some of which take on mythical proportions. James Kobielus, IBM big data evangelist, sets the record straight.
Big data is a set of technologies that need to be integrated with each other and with enterprise capabilities, meaning business processes, applications, relational databases and more. David Corrigan, director of product marketing for InfoSphere, explains IBM’s big data platform.