Gesamtlänge aller Episoden: 13 days 3 hours 55 minutes
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
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
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
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
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
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
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
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
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
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