On this episode of the Making Data Simple podcast, Al Martin sits down with Jean Bozman, vice president at Hurwitz & Associates, and Dan Kirsch, managing director at Hurwitz & Associates. Together, they discuss data optimization, compliance, governance, and security in industries including
Host Al Martin, IBM VP of hybrid data management and client success discusses new technology innovations within the automotive industry. Ben Amamba, Chief Innovation Officer (CINO) for Industrial Sector, Watson & Cloud Platform, and David Kevnick, IBM cloud technical sales leader - US
In episode 37 of the Making Data Simple podcast, Al Martin has a detailed conversation with Avijit Chatterjee, Chief Analytics Officer at IBM Morgan Stanley and Metlife. Together, the two discuss various use cases of AI transforming business processes along with tips for networking and time-
This episode of Making Data Simple features Brian O’Neill, product designer for Designing for Analytics. Brian and host Al Martin step back from the deep, technical questions of data science, architecture and governance to look at how principles of design can clarify and accelerate development for
On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness. Learn the differences between predictive and prescriptive analytics, and how to
How do baseball scouts use machine learning and AI to predict player performance? Ari Kaplan, Principal at Aginity, and David Kearns, Offering Manager, IBM Analytics Ecosystem, join us to talk about the recent merge of H20.ai and IBM. They also discuss how baseball decisions are made using
Every business is a data business. But not every business uses their data to solve business problems and compete more effectively. Nancy Hensley, Chief Digital Officer in IBM Analytics, joins us on this week’s podcast to discuss digital transformation and how you can use data and analytics to find
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.
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.
Holden Karau is a software engineer at IBM, an active open source contributor and coauthor of Learning Spark (O'Reilly Media, February 2015) and the soon to be released High Performance Spark (O'Reilly Media, March 2017). In this podcast, Karau examines how to effectively search logs from Apache