Making Data Simple

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 physical retail stores through what she calls "the Physical-Digital Convergence."  For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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 physical retail stores through what she calls "the Physical-Digital Convergence."  For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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 & administration. InfoSphere BigInsights Quick Start Edition, the latest edition to the InfoSphere BigInsights family, is a free, downloadable, non-production version.

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 & administration. InfoSphere BigInsights Quick Start Edition, the latest edition to the InfoSphere BigInsights family, is a free, downloadable, non-production version.

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.

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.

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.

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.

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.

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.

Big Data Analytics and Visualization - with Bernard Marr

Big Data Analytics and Visualization - with Bernard Marr

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.

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.

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.