Podcasts

Big data is all data

January 20, 2014 | 16:53
Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create...

The physical-digital convergence of retail

January 9, 2014 | 09:51
We just came out of the biggest retail season of the year. Holiday sales were reportedly softer than expected. Is this an indication that future retail growth will come from digital channels? Swanie Tolentino, Retail Solutions Leader at IBM, explains why she thinks digital growth will actually help...

Quick Start programs to get you up and running with big data

January 8, 2014 | 13:49
Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security...

Foretelling 2014 trends in big data, Hadoop, data science & more

January 5, 2014 | 18:05
What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more. Listen here or read the blog post that spurred this podcast. For more...

What happened to big data vertical applications?

December 30, 2013 | 9:35
In early 2013, one popular prediction was that vertical applications would rule the big data marketplace this year. Tom Deutsch took exception to that prediction in an article titled "Big Data’s Future: Bigger Than Just Vertical Applications" (read it at http://bit.ly/1hlXM5N ) So? Who was right?...

Where the magic happens: predictive analytics in media and entertainment

December 15, 2013 | 23:27
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including...

Big Data Analytics and Visualization - with Bernard Marr

December 2, 2013 | 20:58
Bernard Marr is founder and CEO of the UK-based Advanced Performance Institute (www.ap-institute.com) , which is one of the world’s leading research and advisory organizations on organizational performance. He has authored several best-selling business books as well as hundreds of top analyst...

Highlights of research study "Analytics: A blueprint to value"

November 18, 2013 | 18:03
In late October 2013, the acclaimed IBM Institute for Business Value (IBV) released a new study titled “Analytics: A blueprint for value.” This study is the result of months of survey research conducted with some 900 business and IT leaders around the world. As the title “a blueprint for value”...

The Important Difference Between Real-Time and Customer-Time

October 22, 2013 | 15:08
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...

Data Scientists and Their Curriculum

October 16, 2013 | 17:22
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...