Making Data Simple

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

Eine durchschnittliche Folge dieses Podcasts dauert 29m. Bisher sind 951 Folge(n) erschienen. Alle 3 Tage erscheint eine Folge dieses Podcasts.

Gesamtlänge aller Episoden: 13 days 3 hours 55 minutes

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The world of big data analytics in bioinformatics


Dr. Charlie Schick, an industry consultant on the IBM big data team focusing on Healthcare & life sciences, joined us to talk about the bioinformatics industry and how pharmaceutical companies and academic research institutions are using big data analyti


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 April 24, 2014  13m
 
 

The world of big data analytics in bioinformatics


Dr. Charlie Schick, an industry consultant on the IBM big data team focusing on Healthcare & life sciences, joined us to talk about the bioinformatics industry and how pharmaceutical companies and academic research institutions are using big data analyti


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 April 24, 2014  13m
 
 

The Visual Organization: Interview with Phil Simon


Phil Simon (@PhilSimon) is a frequent speaker and recognized technology expert who consults with companies on how to optimize their use of technology. His contributions have been featured in Harvard Business Review, Inc. Magazine, The New York Times, Wir


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 April 17, 2014  12m
 
 

The Visual Organization: Interview with Phil Simon


Phil Simon (@PhilSimon) is a frequent speaker and recognized technology expert who consults with companies on how to optimize their use of technology. His contributions have been featured in Harvard Business Review, Inc. Magazine, The New York Times, Wir


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 April 17, 2014  12m
 
 

The Visual Organization: Interview with Phil Simon


Phil Simon (@PhilSimon) is a frequent speaker and recognized technology expert who consults with companies on how to optimize their use of technology. His contributions have been featured in Harvard Business Review, Inc. Magazine, The New York Times, Wir


share








 April 17, 2014  n/a
 
 

When search meets cognitive


In this podcast, Mark Myers (@MarkMyers360) explains the differences between typical google-type search and what a cognitive computing system like IBM Watson does. Mark gives several examples from everyday life that help illustrate how the two systems wo


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 April 13, 2014  22m
 
 

When search meets cognitive


In this podcast, Mark Myers (@MarkMyers360) explains the differences between typical google-type search and what a cognitive computing system like IBM Watson does. Mark gives several examples from everyday life that help illustrate how the two systems wo


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 April 13, 2014  n/a
 
 

Building the business case for real-time analytics at CenterPoint Energy


Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization


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 April 7, 2014  34m
 
 

Building the business case for real-time analytics at CenterPoint Energy


Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization


share








 April 7, 2014  34m
 
 

Building the business case for real-time analytics at CenterPoint Energy


Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization


share








 April 7, 2014  n/a