Big Data Risks and Rewards

Eric Schwartzman

I help #startups, change-ups & scale-ups pivot to #digitalmarketing Podcasts: http://ericschwartzman.com/prtw & http://ericschwartzman.com/b2blg SaaS founder & author

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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 data
Comparing data points
Why big data improves the accuracy of predictions
Helping casino operators bring down the MIT Blackjack Team with data
The value of automated trading algorithms to Goldman Sachs
How Watson uses contradictory information to eliminate false positives
Shortcomings of pulling meaningful KPIs from social media monitoring services and sentiment analytics alone
Fair Credit Reporting Act
Why insufficient an observation space leads to fantasy analytics
Future of secrets and the importance of corporate training and business process improvement.