Please login or sign up to post and edit reviews.
Al and Dima Syrotkin discuss coaching, models, and exercises
Publisher |
IBM
Media Type |
audio
Categories Via RSS |
Business
Entrepreneurship
Technology
Publication Date |
Feb 23, 2022
Episode Duration |
00:45:58

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. 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 Dima Syrotkin, founder of Pandatron.  Dima Syrotkin is the CEO of Pandatron and a PhD researcher at Aalto University in Helsinki. With clients like SAP, Universal Pictures & Skanska, Pandatron is a startup that supports change management. They do it by scaling AI-driven coaching 1-on-1s to every manager, which also allows them to measure change. Show Notes1:49 – Dima’s history

5:35 – Where does the coaching come in?

16:39 – Have you ever had a case where there is no model or exercise?

19:28 – Is there any follow up?

20:58 – What’s your most profound use case?

25:49 – Empathy 

33:35 – What models are used?

36:25 – How does bias work?

37:29 – How do you measure progress?

39:07 – Describe your business model

Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review