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Data Science & AI: Getting Buy-In and Demonstrating ROI | PagerDuty’s Sanghamitra Goswami

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Manage episode 424192068 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB 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 of Dev Interrupted, Conor Bronsdon is joined by Sanghamitra Goswami, Senior Director of Data Science and Machine Learning at PagerDuty. Sanghamitra shares her expertise in AI and data science, including how engineering teams can effectively leverage both within their organizations. She also explores the history and significance of LLMs, strategies for measuring success and ROI, and the importance of foundational data work. The conversation ends with a discussion about practical applications of AI at PagerDuty, including features designed to reduce noise and improve incident resolution.
Episode Highlights:
00:56 Why are LLMs important for engineering teams to understand?
03:17 How should engineering leaders think about using AI in their products?
07:57 What sort of plan should engineering leaders have to get buy in for AI?
13:22 Are there ways to show ROI on an investment in AI?
15:08 How should we communicate with customers about AI in our products?
18:53 How can companies find a good use case for AI in their product?
Show Notes:

Support the show:

Offers:

  continue reading

183 episodes

Artwork
iconShare
 
Manage episode 424192068 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB 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 of Dev Interrupted, Conor Bronsdon is joined by Sanghamitra Goswami, Senior Director of Data Science and Machine Learning at PagerDuty. Sanghamitra shares her expertise in AI and data science, including how engineering teams can effectively leverage both within their organizations. She also explores the history and significance of LLMs, strategies for measuring success and ROI, and the importance of foundational data work. The conversation ends with a discussion about practical applications of AI at PagerDuty, including features designed to reduce noise and improve incident resolution.
Episode Highlights:
00:56 Why are LLMs important for engineering teams to understand?
03:17 How should engineering leaders think about using AI in their products?
07:57 What sort of plan should engineering leaders have to get buy in for AI?
13:22 Are there ways to show ROI on an investment in AI?
15:08 How should we communicate with customers about AI in our products?
18:53 How can companies find a good use case for AI in their product?
Show Notes:

Support the show:

Offers:

  continue reading

183 episodes

All episodes

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