Podcasts

The Important Difference Between Real-Time and Customer-Time

Length: 15:08
October 22, 2013

Technology vendors often tout their "real-time" products - but what does "real time" really mean? And is it what you need? Tom Deutsch compares real time to "customer time," which he says is the more meaningful measure: delivering the performance in the amount of time that it's needed and can be used. He also talks about in-memory solutions such as SAP Hana and describes the positives and negatives of in-memory systems.

Tom wrote about this topic in IBM Data Magazine; read that post here.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Data Scientists and Their Curriculum

Length: 17:22
October 16, 2013

Data science has been called the "sexiest profession of the 21st century." Well known big data evangelist James Kobielus describes what a data scientist is and does, what paradigms and practices one must know and what skills and knowledge one should possess. He also questions if the typical "sexy data scientist" would look good naked.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Driving Transformational Change by Changing Culture

Length: 20:22
October 8, 2013

"Culture can eat strategy for lunch," says Richard Lee, Management Consultant with IMECS, LLC. For more than 30 years, Richard has helped guide companies in their business strategy. He also speaks at conferences around the world on key business issues related to Enterprise Information Management & Data Governance.

In this podcast, Richard talked with us about how to affect transformational change by addressing an organization's cultural adoption, which he adds as a fourth leg to the typical 3-legged stool of People, Process & Technology.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Busting 4 Popular Big Data Myths & Misconceptions

Length: 18:07
September 23, 2013

"Anyone who makes assertions and is unwilling to engage in a discussion or provide evidence for what they say, is probably someone who doesn't really know what they're talking about. Be very skeptical."

That's the advice from Tom Deutsch, program director of big data and analytics at IBM. In this episode, Tom goes head-to-head with four popular notions about big data, and busts all of them as myths. Listen to learn why.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

The curious data scientist

Length: 20:07
September 16, 2013

Hilary Mason is the "chief scientist emeritus" at Bitly, co-founder of HackNY, and an adviser to Accel Partners. She is also a curious data scientist, which is one factor that has led to her being one of the most influential people in her field. She talked with us about what it takes to be a top data scientist and shares some interesting stories she has discovered within data.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Real-world Use of Big Data in Retail

Length: 19:02
September 12, 2013

Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and analytics to execute their strategies to acquire more customers and retain the ones they have.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Importance of Context in Metadata

Length: 15:43
August 29, 2013

Sifting through the noise to find the signal in big data - the information that yields the most value to your analysis. That was the key point in this podcast between Claudia Imhoff, president of Intelligent Solutions and founder of Boulder BI Brain Trust, and David Corrigan, director of product marketing for IBM InfoSphere and Information Integration and Governance. 

Agile Data Governance

Length: 20:17
August 29, 2013

In the last of a three-part series, Mike Ferguson, an independent analyst with Intelligent Business, and David Corrigan, director of product marketing for IBM InfoSphere and Information Integration and Governance, discussed how to build confidence in big data. This segment looks at agile data governance - what it is, why it's important, and how organizations can implement it.

Building Confidence in Big Data through Context

Length: 16:43
August 26, 2013

Mike Ferguson, an independent analyst with Intelligent Business, and David Corrigan, director of product marketing for IBM InfoSphere and Information Integration and Governance, talked recently about how to build confidence in big data. In this segment, they delved into context: how to visualize and understand the context of big data so data scientists, business users and executives all know what is available and thus have more trust in that information.

Raising Confidence in Big Data through Automated Integration

Length: 19:07
August 26, 2013

Mike Ferguson, an independent analyst with Intelligent Business Strategies, talked with David Corrigan, director of product marketing for IBM InfoSphere and Information Governance about how to raise confidence in big data. They focused their conversation around automated integration – the ability to ingest a wider variety and volume of data – and the importance of integration tools in big data initiatives.

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