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Evaluating AI Models, Unlocking Unstructured Data, and Achieving Reliability w/ Ben Kus

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Content provided by Reforge, Brian Balfour, and Fareed Mosavat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Reforge, Brian Balfour, and Fareed Mosavat 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.

Evaluating AI Models, Unlocking Unstructured Data, and Achieving Reliability w/ Ben Kus

Today on "Unsolicited Feedback," Fareed Mosavat dives deep into the evolving landscape of artificial intelligence with tech expert and Box CTO, Ben Kus. As AI continues to reshape industries, understanding its core mechanisms and potential applications has never been more critical. Ben sheds light on how AI can enhance productivity and decision-making within organizations while also sharing technical strategies he’s implemented to ensure reliability for Box’s enterprise customers.

Check out a full summary of the takeaways and lessons at ➡️ https://www.unsolicitedfeedback.co/

00:00 Introduction

02:19 Rapid Fire Advice for AI Product and Technology Teams

05:25 Understanding and Navigating the World of AI Models

08:21 The Challenges of AI Change Management and Model Selection

14:29 Evaluating AI Quality and Performance in the Enterprise

25:23 Unstructured Data: The Next Frontier for AI

29:15 The Future of AI in Structuring Unstructured Data

43:55 Exploring the Potential of AI Agents and User Experience

Thank you for listening to Unsolicited Feedback!

Don’t forget to hit subscribe on the podcast network of your choice:

Apple: https://podcasts.apple.com/us/podcast/unsolicited-feedback/id1706701340

Spotify: https://open.spotify.com/show/7FzVEIBamWnExyJpJ2LCwF

And sign up for our mailing list at ➡️ https://www.unsolicitedfeedback.co/

If you love this show, please leave us a 5-Star Review and tell a friend about the podcast!

  continue reading

50 episodes

Artwork
iconShare
 
Manage episode 419754674 series 3512812
Content provided by Reforge, Brian Balfour, and Fareed Mosavat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Reforge, Brian Balfour, and Fareed Mosavat 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.

Evaluating AI Models, Unlocking Unstructured Data, and Achieving Reliability w/ Ben Kus

Today on "Unsolicited Feedback," Fareed Mosavat dives deep into the evolving landscape of artificial intelligence with tech expert and Box CTO, Ben Kus. As AI continues to reshape industries, understanding its core mechanisms and potential applications has never been more critical. Ben sheds light on how AI can enhance productivity and decision-making within organizations while also sharing technical strategies he’s implemented to ensure reliability for Box’s enterprise customers.

Check out a full summary of the takeaways and lessons at ➡️ https://www.unsolicitedfeedback.co/

00:00 Introduction

02:19 Rapid Fire Advice for AI Product and Technology Teams

05:25 Understanding and Navigating the World of AI Models

08:21 The Challenges of AI Change Management and Model Selection

14:29 Evaluating AI Quality and Performance in the Enterprise

25:23 Unstructured Data: The Next Frontier for AI

29:15 The Future of AI in Structuring Unstructured Data

43:55 Exploring the Potential of AI Agents and User Experience

Thank you for listening to Unsolicited Feedback!

Don’t forget to hit subscribe on the podcast network of your choice:

Apple: https://podcasts.apple.com/us/podcast/unsolicited-feedback/id1706701340

Spotify: https://open.spotify.com/show/7FzVEIBamWnExyJpJ2LCwF

And sign up for our mailing list at ➡️ https://www.unsolicitedfeedback.co/

If you love this show, please leave us a 5-Star Review and tell a friend about the podcast!

  continue reading

50 episodes

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