Podcasts

Machine learning in hybrid transaction/analytics processing

Machine learning in hybrid transaction/analytics processing

February 10, 2017 | 6:47
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...
Internet of Things and the autonomous vehicle: Simultaneous localization and mapping (SLAM)

Internet of Things and the autonomous vehicle: Simultaneous localization and mapping (SLAM)

February 7, 2017 | 10:43
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.
Data science transformation through Spark on hybrid cloud

Data science transformation through Spark on hybrid cloud

February 3, 2017 | 10:55
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.
Machine learning in the evolution of data science

Machine learning in the evolution of data science

February 2, 2017 | 6:29
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. 
Why is prescriptive analytics essential for businesses?

Why is prescriptive analytics essential for businesses?

February 1, 2017 | 26:27
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.
Machine learning in the private cloud

Machine learning in the private cloud

February 1, 2017 | 9:04
In this podcast, Rob Thomas, general manager, IBM Analytics, discusses how investments in machine learning within private cloud deployments can contribute to customer business success. 
Forming deep partnerships with the business as CDO: A two-way street

Forming deep partnerships with the business as CDO: A two-way street

January 30, 2017 | 7:33
It is important to recognize that a CDO’s relationship with the business is a two-way street. As the CDO collects information about the business, he or she must also deliver value. This mutual relationship with the business is perhaps best seen when CDOs act in their Business Optimizer mode. When...
Debugging the Spark Python API: Why is a Java Virtual Machine stack trace in my Python?

Debugging the Spark Python API: Why is a Java Virtual Machine stack trace in my Python?

January 26, 2017 | 7:38
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...
Feature hashing for scalable machine learning

Feature hashing for scalable machine learning

January 25, 2017 | 12:47
Nick Pentreath is a principal engineer at IBM, a member of the Apache Spark project management committee (PMC) and author of Machine Learning with Spark (Packt Publishing, December 2014). In this podcast, Pentreath covers the basics of feature hashing and how to use it for all feature types in...
Spark + Parquet in depth

Spark + Parquet in depth

January 24, 2017 | 10:30
Emily Curtin is a software engineer at The Weather Company (now IBM) working on the data engineering platform team. Robbie Strickland is vice president, engines and pipelines, IBM Watson Data Platform, at IBM. In this podcast, they give a technical overview of how Parquet works and how recent...