Making Data Simple

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.

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.

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, 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?” 

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?” 

Welcome to part 2 of Delaney Turner's interview with IBM Champions Alex Philp"

Welcome to part 2 of Delaney Turner's interview with IBM Champions Alex Philp"

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. 

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. 

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.

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.

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.