Podcasts

Making Data Simple: The 5 areas businesses MUST get right

Making Data Simple: The 5 areas businesses MUST get right

November 13, 2017 | 27:13
What is driving change in the world of data? In his keynote from the Big Data Summit KC 2017, our Making Data Simple podcast host and IBM Analytics VP Al Martin addresses disruption, the data maturity model and the five areas business must get right to succeed in the era of cognitive computing.
Making Data Simple: Growth Hacking - Not just for start ups

Making Data Simple: Growth Hacking - Not just for start ups

October 18, 2017 | 26:32
How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple.
Making Data Simple: Will machines take our jobs?

Making Data Simple: Will machines take our jobs?

October 10, 2017 | 41:59
In this episode of Making Data Simple we hear insights from IBM Machine Learning Hub data scientists Jorge A. Castañón and Óscar Lara-Yejas as they discuss what machine learning is and is not. They also answer the most controversial question today: Will machines take our jobs? Come find out!
Making Data Simple: A new definition of client care

Making Data Simple: A new definition of client care

October 5, 2017 | 38:24
How do you provide answers to clients prior to them asking? What do you do with an abundance of client data? In this episode of Making Data Simple, Tracy Bolot, Director of Digital Client Support for Analytics at IBM, talks about how to maximize teamwork and strengths to enrich your clients'...
Making Data Simple: End of tech companies

Making Data Simple: End of tech companies

September 27, 2017 | 27:23
In this episode of Making Data Simple, we welcome Rob Thomas, GM of IBM Analytics, who shares his insights on turning data into insights.
Making Data Simple: The big data problem

Making Data Simple: The big data problem

September 20, 2017 | 25:49
In this first episode of Making Data Simple, we welcome Daniel Hernandez, VP of IBM Analytics Offering Management, who helps us navigate "the big data problem" and shares why he doesn't like the term "big data."
Machine learning in cognitive analytics

Machine learning in cognitive analytics

February 13, 2017 | 4:34
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.
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.

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