Making Data Simple
Summary: Hosted by Al Martin, WW VP Account Technology Leaders at IBM. Making Data Simple provides the latest thinking on leadership, big data, A.I., and the implications for the enterprise from a range of experts.
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Podcasts:
Four inspirational women in the Financial Services industry met on International Women's Day to discuss how being a woman played a role in their career paths. Listen to this podcast to hear Cheryl Nash, Noreen Beaman, April Rudin, and Sara Stanich discuss why women make the wealth management industry stronger and what others in the industry can do to support them.
Follow a streetwise CDO as he walks the beat and tries to understand the mystery that is GDPR (the General Data Protection Regulation). Like any good detective, he uncovers the facts about the new regulation and relies on a colorful cast of characters to help him overcome the challenges he is facing. But, watch out! As our intrepid CDO learns, having the answers isn't all it's cracked up to be.
Listen to Dr. Hans Schlenker, Offering Manager, IBM Decision Optimization (DOcplexcloud and DOcenter) as he speaks about how you can solve the real-world optimization problems with IBM Decision Optimization on Cloud.
Listen to Dr. Hans Schlenker, Offering Manager, IBM Decision Optimization (DOcplexcloud and DOcenter) as he speaks about how you can solve the real-world optimization problems with IBM Decision Optimization on Cloud.
Dinesh Nirmal is Vice President, IBM Analytics Platform Development. In this podcast, he discusses the role that machine learning plays in enterprise cognitive analytics initiatives.
Dinesh Nirmal is Vice President, IBM Analytics Platform Development. In this podcast, he discusses the role that machine learning plays in enterprise cognitive analytics initiatives.
Jeff Josten is IBM Distinguished Engineer for DB2 for z/OS Development, IBM Analytics, Platform Development. In this podcast, he discusses how the value of machine learning in enterprise applications of hybrid transaction/analytics processing. He will be speaking on this topic on February 15, 2017 at the IBM Machine Learning Launch Event.
Jeff Josten is IBM Distinguished Engineer for DB2 for z/OS Development, IBM Analytics, Platform Development. In this podcast, he discusses how the value of machine learning in enterprise applications of hybrid transaction/analytics processing. He will be speaking on this topic on February 15, 2017 at the IBM Machine Learning Launch Event.
J White Bear is a data scientist and software engineer at IBM. In this podcast, White Bear discusses simultaneous localization and mapping, an ongoing research area in robotics for autonomous vehicles and well-recognized as a nontrivial problem space in both industry and research.
J White Bear is a data scientist and software engineer at IBM. In this podcast, White Bear discusses simultaneous localization and mapping, an ongoing research area in robotics for autonomous vehicles and well-recognized as a nontrivial problem space in both industry and research.
Seth Dobrin is vice president and CDO, IBM Analytics, platform development, at IBM. In this podcast, Dobrin shares experiences using Apache Spark for data science transformation and some thoughts on a larger vision for data science transformation at scale.
Seth Dobrin is vice president and CDO, IBM Analytics, platform development, at IBM. In this podcast, Dobrin shares experiences using Apache Spark for data science transformation and some thoughts on a larger vision for data science transformation at scale.
Steven Astorino is Vice President, Development, IBM Private Cloud Analytics Platform. In this podcast, he discusses how machine learning is driving the evolution of data science in strategic business initiatives.
Steven Astorino is Vice President, Development, IBM Private Cloud Analytics Platform. In this podcast, he discusses how machine learning is driving the evolution of data science in strategic business initiatives.
Listen to this podcast to hear Ferenc Katai, offering manager for IBM ILOG CPLEX Optimization Studio, share his thoughts on why prescriptive analytics is essential for businesses.
