What are your major concerns before flying on a trip? Would you ever give up your seat due to overbooking? How do airlines predict weather patterns and take proactive action to minimize delays? In this episode of Making Data Simple, Yianni Gamvros, Global Data Science Enablement Leader for IBM Watson and Cloud Platform, talks about how to use data science to better manage passenger flight experiences.
Show Notes
00.30 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)
00.40 Connect with Yianni Gamvros on Twitter (@YGamvros), LinkedIn (linkedin.com/in/gamvros), or at datascience.ibm.com
00.50 Copyright and all rights reserved to Yanni. Song from Yanni Concert 2006 can be found here http://bit.ly/2iSlJJG
1:00 Learn more about Yanni the composer at http://www.yanni.com/welcome
08.25 Check the latest in weather and storm reports at https://weather.com/en-CA/
23.50 Discover what Watson is doing in aviation at https://ibm.co/2yHDm5g or check out this video to see how data science and Watson can be used to better your flight experience: http://bit.ly/2j9kdGN
28.45 Find Negotiation Genius: How to Overcome Obstacles and Achieve Brilliant Results at the Bargaining Table and Beyond by Deepak Malhotra & Max Bazerman here: http://amzn.to/2zox6Dy
29.10 Find The Goal: A Process of Ongoing Improvement by Eliyahu M Goldratt here: http://amzn.to/2iETTkd
29.40 Learn more about the IBM Watson Data Platform at https://ibm.co/2reqLmN or http://bit.ly/2iEUbYl
30.40 Copyright YanniVEVO, all rights reserved to Yanni. Song Name: The Rain Must Fall. Listen here, http://bit.ly/2iU3uDU
[Part 2] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
Al and Alex Watson discuss Gretel, security, and privacy issues around synthetic data
[Replay] Optimizing Sports using A.I. with Joe Pavitt
[Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.
[Part1] Al and Neil Gilbert Siegel discuss Neil’s involvement with the US Military, his inventions, Neil’s book and tune into part 2 to find out about Neil’s family
Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company
Al and Wendy Gonzalez discuss data is the new code, micro models that are reuseable, data pipeline and hiring people that are smarter than you
Al and Matt Cowell discuss defining data literacy, teaching products, and learning problems
[Part2] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Part1] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter)
Al and Lillian Pierson discuss Data Mania and Lillian’s book Data Science For Dummies
Al and Milan Shetti discuss Z and what it means when we say legacy powers legendary
[Replay] Al and Nancy Hensley discuss Data and AI and its impact on sports
Al and Orr Danon discuss a microprocessor which enables edge devices
Al and Wendy Cornell discuss computational biology, IBM’s 5 and 5, and how technology effects health and drugs
[Part 2] Al and Cactus Raazi discuss pricing and pricing methods
[Part 1] Al and Cactus Raazi discuss pricing and pricing methods
This week Al and Michel Tricot discuss tech, ELT vs ETL, Airbyte and Entrepreneurship
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