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Abstract
Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
This week on Making Data Simple, we have Ayal Steinburg VP, WW Data, AI, and Automation Sales Leader Global Markets. Ayal started off in music and then in the late 1990’s shifted to retail where he learned about data and analytics. In the past 20 years Ayal has held various sales rolls during his career.
Show Notes
2:18 – What the new year means in sales
7:09 – How are you going to go to market in 2022?
10:36 – If we jumped to this time next year 2023, how did 2022 go?
12:36 – Does the Challenger Sale still apply today?
14:58 – How do you execute influence?
18:39 – What motivates a core sales team?
21:34 – What are your tricks and tips around shared communication? And then how do you build on that shared influence?
Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.
This week Al and Davit Buniatyan discuss reconstruction of the connectome of a mouse's brain, research in machine learning, and managing unstructured data
Al and Mark Gabrielson discuss RegTech, Safer Payments, and OpenPages and how they can control your governance and compliance policies
[Replay] Al and Lynne Snead discuss leadership, coaching and being your best self and mixing that in with data
[Replay] Understanding Apache Spark with Jean-Georges Perrin
This week Al and Elo Umeh discuss Terragon, how it benefits the businesses in Africa
This week Al and Anastasia Leng discuss infusing creative with data
[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
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