Podcasts

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

Length: 18:05
January 5, 2014

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 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.

What happened to big data vertical applications?

Length: 9:35
December 30, 2013

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? The person who made the original prediction or Deutsch, who said it was bunk?

We brought Deutsch back onto the show to hold him accountable and to look back on how the vertical applications market played out in 2013.

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.

Where the magic happens: predictive analytics in media and entertainment

Length: 23:27
December 15, 2013

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 some surprises, that has helped them fine-tune their marketing and promotional plans.

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.

Big Data Analytics and Visualization - with Bernard Marr

Length: 20:58
December 2, 2013

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 reports and articles on enterprise performance. Bernard joined us recently to talk about big data analytics and the "datafication" of the world. Listen as he gives advice on how to form a big data analytics strategy and what to look for in a data scientist.
 
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.

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

Length: 18:03
November 18, 2013

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” suggests, the goal of this research series has been to dig deeply into which organizations are getting the most out of their analytic investments and how they are doing it.

Rebecca Shockley, Global Research Leader for Analytics at IBV, describes the key findings of the study, which you can download from ibm.co/9levers

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 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

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