Podcasts

Making Data Simple: Hit a home run using AI & machine learning

Making Data Simple: Hit a home run using AI & machine learning

June 15, 2018 | 35:44
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...
Making Data Simple: Inside Machine Learning with John J Thomas and Steve Moore

Making Data Simple: Inside Machine Learning with John J Thomas and Steve Moore

May 31, 2018 | 31:15
On this week's episode, John J Thomas, Distinguished Engineer and Director for IBM Analytics, and Steve Moore, Senior Content Designer and Story Strategist, join us to talk about data science and how your business can best weave the skills of a data scientist into their decisions. Learn how to...
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."
Data science expert interview: Steve Ardire and Joe Caserta

Data science expert interview: Steve Ardire and Joe Caserta

November 21, 2016 | 10:31
In this podcast recorded at WoW, IBM Data Science Evangelist James Kobielus interviewed two of those experts—Steve Ardire, AI software startup advisor, and Joe Caserta, Caserta Concepts—to gain their insights on trends facing data professionals.
Data science expert interview: Dez Blanchfield, Craig Brown, David Mathison, Jennifer Shin and Mike Tamir part 2

Data science expert interview: Dez Blanchfield, Craig Brown, David Mathison, Jennifer Shin and Mike Tamir part 2

November 16, 2016 | 21:02
Take a peek at the future of data science in this discussion with five thought leaders in the data analytics industry, the second installment of a two-part interview recorded at the IBM Insight at World of Watson 2016 conference.

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