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Teach Your Data Scientists About The Business (Guest: Mark Stouse)

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Manage episode 388743540 series 3437240
Content provided by Andreas Welsch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas Welsch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Mark Stouse (CEO, Proof Analytics) and Andreas Welsch discuss teaching your data scientists about the business. Mark shares his perspective on connecting data science & AI teams with their peers in the business and provides valuable advice for listeners looking to bridge communication gaps, manage expectations, and focus on AI-driven business outcomes.
Key topics:
- Identify the challenges AI and business teams face when working together
- Improve communication between AI and business teams
- Understand the impact when data scientists have more context about the business
- Learn how AI leaders support their team members to upskill
Listen to the full episode to hear how you can:
- Develop an understanding of the business context and connect with business leaders
- Shift from precision to pragmatism
- Deliver business value quickly
- Operationalize data science & AI quickly and adapt to the fast-paced business environment
Watch this episode on YouTube:
https://youtu.be/WE7sopcsFII

Questions or suggestions? Send me a Text Message.

Support the Show.

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

  continue reading

56 episodes

Artwork
iconShare
 
Manage episode 388743540 series 3437240
Content provided by Andreas Welsch. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andreas Welsch or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, Mark Stouse (CEO, Proof Analytics) and Andreas Welsch discuss teaching your data scientists about the business. Mark shares his perspective on connecting data science & AI teams with their peers in the business and provides valuable advice for listeners looking to bridge communication gaps, manage expectations, and focus on AI-driven business outcomes.
Key topics:
- Identify the challenges AI and business teams face when working together
- Improve communication between AI and business teams
- Understand the impact when data scientists have more context about the business
- Learn how AI leaders support their team members to upskill
Listen to the full episode to hear how you can:
- Develop an understanding of the business context and connect with business leaders
- Shift from precision to pragmatism
- Deliver business value quickly
- Operationalize data science & AI quickly and adapt to the fast-paced business environment
Watch this episode on YouTube:
https://youtu.be/WE7sopcsFII

Questions or suggestions? Send me a Text Message.

Support the Show.

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

  continue reading

56 episodes

All episodes

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