Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 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://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

#266: AI Projects: From Obstacles to Opportunities

58:59
 
Share
 

Manage episode 469591742 series 3497884
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 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://podcastplayer.com/legal.

In celebration of International Women’s Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and opportunities in AI projects. Moe Kiss, Julie Hoyer and Val Kroll, dive into this AI topic with guest expert, Kathleen Walch, who co-developed the CPMAI methodology and the seven patterns of AI (super helpful for your AI use cases!). Kathleen has helpful frameworks and colorful examples to illustrate the importance of setting expectations upfront with all stakeholders and clearly defining what problem you are trying to solve. Her stories are born from the painful experiences of AI projects being run like application development projects instead of the data projects that they are! Tune in to hear her advice for getting your organization to adopt a data-centric methodology for running your AI projects—you’ll be happier than a camera spotting wolves in the snow! 🐺❄️🎥

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

282 episodes

Artwork
iconShare
 
Manage episode 469591742 series 3497884
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 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://podcastplayer.com/legal.

In celebration of International Women’s Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and opportunities in AI projects. Moe Kiss, Julie Hoyer and Val Kroll, dive into this AI topic with guest expert, Kathleen Walch, who co-developed the CPMAI methodology and the seven patterns of AI (super helpful for your AI use cases!). Kathleen has helpful frameworks and colorful examples to illustrate the importance of setting expectations upfront with all stakeholders and clearly defining what problem you are trying to solve. Her stories are born from the painful experiences of AI projects being run like application development projects instead of the data projects that they are! Tune in to hear her advice for getting your organization to adopt a data-centric methodology for running your AI projects—you’ll be happier than a camera spotting wolves in the snow! 🐺❄️🎥

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

282 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Listen to this show while you explore
Play