Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
https://www.ibmbigdatahub.com/tag/7039
Gesamtlänge aller Episoden: 13 days 4 hours 27 minutes
Where the magic happens: predictive analytics in media and entertainment
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
Where the magic happens: predictive analytics in media and entertainment
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
Highlights of research study "Analytics: A blueprint to value"
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 wo
Highlights of research study "Analytics: A blueprint to value"
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 wo
The Important Difference Between Real-Time and Customer-Time
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
The Important Difference Between Real-Time and Customer-Time
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
Data Scientists and Their Curriculum
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 poss
Data Scientists and Their Curriculum
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 poss