Big Data Risks and Rewards
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English - January 17, 2014 13:00 - 40 minutes - 36.7 MBBusiness Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
In this podcast, I talk to IBM fellow Jeff Jonas (@JeffJonas) about Ironman Triathlons, how casinos catch card counters, the future of personal privacy and big data analytics. Jeff’s career is storied and diverse. He’s built systems to protect the gambling industry from card counters, technology that allows organization’s to collect and analyze personally…
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In this podcast, I talk to IBM fellow Jeff Jonas (@JeffJonas) about Ironman Triathlons, how casinos catch card counters, the future of personal privacy and big data analytics.
Jeff’s career is storied and diverse.
He’s built systems to protect the gambling industry from card counters, technology that allows organization’s to collect and analyze personally identifiable information without invading personal privacy and ways to make sense of data as it happens.
In this exclusive interview, sponsored by IBM, Jeff talks about:
Pulling useful business intelligence from big dataComparing data pointsWhy big data improves the accuracy of predictionsHelping casino operators bring down the MIT Blackjack Team with dataThe value of automated trading algorithms to Goldman SachsHow Watson uses contradictory information to eliminate false positivesShortcomings of pulling meaningful KPIs from social media monitoring services and sentiment analytics aloneFair Credit Reporting ActWhy insufficient an observation space leads to fantasy analyticsFuture of secrets and the importance of corporate training and business process improvement.
The post Big Data Risks and Rewards appeared first on Eric Schwartzman.