Podcasts

Shooting Down Myths about Data Scientists

Length: 23:38
July 10, 2013

"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role.

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

Impact of Digital Innovation on Customer Experience

Length: 24:28
July 8, 2013

Brian Vellmure is an analyst, consultant and frequent Keynote Speaker on the alignment of emerging technology, strategy, innovation and the customer experience. He was also the featured guest on a recent Twitter chat where the topic was “the impact of digital innovation on customer experience.”

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

Data Governance: Fueling Analytic Performance

Length: 11:34
June 18, 2013

When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good information governance and security can build trust in 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

How to Get an Enhanced 360 View of the Customer

Length: 25:52
June 3, 2013

A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use case and gives several examples of how today's new big data technology differs from and complements CRM and other existing products.

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

Extending the Value of Your Data Warehouse: Big Data Use Case

Length: 13:13
May 22, 2013

"Data warehouse augmentation" is one of the top five business use cases for big data. Its purpose is to extend the value of existing data warehouses. Christy Maver, IBM big data product marketing manager, explains how data warehouse augmentation can help lower costs, provide the ability to perform analysis on more and new types of data, and she also describes three primary scenarios where data warehouse augmentation makes sense.

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

Security Intelligence with Big Data: A Top Use Case

Length: 17:30
May 20, 2013

Security intelligence with big data is the ability to lower risk, detect fraud and monitor cyber security in real time. Organizations can augment and enhance cyber security and intelligence analysis platforms with big data technologies to process and analyze new types (e.g. social media, emails, sensors, Telco) and sources of under-leveraged data to significantly improve intelligence, security and law enforcement insight. Sandy Bird, chief technology officer of IBM’s security systems division, gave an overview of security intelligence, which is one of the top five use cases for big data. He discussed some key questions an organization should consider, how the threat landscape has changed in recent years, and how organizations are using big data to address cyber security challenges.

BNSF Says that DB2 with BLU is the Future

Length: 9:00
May 15, 2013

On a conference call hosted by IBM Information Management General Manager Bob Picciano, over 1000 participants listened to a Q and A led by IBM Vice President Martin J. Wildberger with Kent Collins, database solutions architect, of BNSF Railway. An early tester of DB2 BLU, Kent calls the BLU Acceleration technology a “game changer” that solves some of his big data challenges and will bring value to their business.

What Big Data Means to an Analytics Geek

Length: 18:30
May 13, 2013

Marcus Hearne, predictive and business intelligence marketing manager, talks about changes to his daily coffee order, "bleeding data," and what those pieces of data means to a predictive analytics geek.

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

Amazing Tomorrow's Customers

Length: 24:02
May 6, 2013

Shep Hyken is a customer experience expert and the Chief Amazement Officer of Shepard Presentations. He is a New York Times and Wall Street Journal bestselling author and has been inducted into the National Speakers Association Hall of Fame for lifetime achievement in the speaking profession. Shep joined us to talk about how companies can go about “Amazing Tomorrow’s Customers.” 

Follow Shep on Twitter @hyken

To learn more about IBM big data, visit ibm.com/bigdata

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

Key Benefits and Uses of Operations Analysis: Top Big Data Use Case

Length: 18:37
May 1, 2013

Operations analysis, one of the top five use cases for big data, is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data, which allows you to put insight right into the hands of the operational decision maker. In this podcast, Christy Maver, IBM big data product marketing manager, describes what operations analysis entails and the primary benefits of employing it. She also relates several examples and gives advice on how to get started with operations analysis.

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