Podcasts

Why Static Stinks

Length: 14:23
September 7, 2012

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, what their interests are beyond just the purchase they might be making at a specific time. If not, the recommendation just comes across as marketing, which is not fully illustrating why that product or service would be helpful to the individual.

Talking Big Data - "Fail" Is Not a Four-Letter Word

Length: 8:58
August 28, 2012

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.

Talking Big Data - Who is best to own the data?

Length: 8:18
August 23, 2012

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?” 

IBM Champions Talk Big Data, Part 2

Length: 12:22
August 20, 2012

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 clients. Here, they discuss the broader enterprise-wide repercussions of big data and how they make the vital link to business analytics.

How IBM Champions tackle big data, Part 1 of 2

Length: 12:06
August 13, 2012

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. 

Comparing Complex Event Processing and Stream Computing - Why Should You Care?

Length: 17:06
August 1, 2012

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.

Debunking Big Data Myths

Length: 32:01
August 1, 2012

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.

What Makes a Big Data Platform?

Length: 17:36
August 1, 2012

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.

What is Big Data and Why Does It Matter?

Length: 13:38
August 1, 2012

David Corrigan, director of product marketing for InfoSphere, explains the meaning of big data and gives examples of how it is used to solve business challenges.

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