Podcasts

Making Data Simple: Start-ups with Simon Lightstone

Making Data Simple: Start-ups with Simon Lightstone

September 19, 2018 | 52:28
Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes...
Making Data Simple: Watson and Health Science with Dr. Kyu Rhee

Making Data Simple: Watson and Health Science with Dr. Kyu Rhee

August 8, 2018 | 34:33
Are you getting enough sleep? On this week's episode of Making Data Simple, Dr. Kyu Rhee, vice president and Chief Health Officer for IBM Watson Health, joins us to talk about how machine learning, AI, and Watson are advancing healthcare initiatives. Learn how far the health industry has advanced,...
Making Data Simple: Decision Optimization and Prescriptive Analytics

Making Data Simple: Decision Optimization and Prescriptive Analytics

August 2, 2018 | 29:09
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...
Making Data Simple: Hacking Growth with Sean Ellis and Nancy Hensley

Making Data Simple: Hacking Growth with Sean Ellis and Nancy Hensley

June 27, 2018 | 30:59
Back by popular demand in this week's episode is Nancy Hensley, Director of Offering Management for IBM Hybrid Cloud. Nancy is joined by Sean Ellis, CEO and founder of GrowthHackers.com, who coined the term growth hacking several years ago. Sean and Nancy share ways to find the Northstar metric for...
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: Clicker vs. coder

Making Data Simple: Clicker vs. coder

May 7, 2018 | 47:40
This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be...
Making Data Simple: Digital Transformation

Making Data Simple: Digital Transformation

April 26, 2018 | 41:34
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...
Analytics experts discuss AI's present and future - part 2

Analytics experts discuss AI's present and future - part 2

April 24, 2018 | 38:11
Listen to part 2 and the discussion and exploration of the importance of infusing traditional analytics into augmented intelligence.
Analytics experts discuss AI's present and future - part 1

Analytics experts discuss AI's present and future - part 1

April 24, 2018 | 28:24
Analytics should allow users to dive below the surface of data. Beware of dashboards and visualizations that only give you the “pretty picture” and not the full and accurate view of your data.

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