Data Science & AI: Getting Buy-In and Demonstrating ROI with Sanghamitra Goswami (#180)

Dev Interrupted
Dev Interrupted
61 بار بازدید - 3 ماه پیش - In this episode of Dev
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: https://www.seevid.ir/fa/w/9gqFEwtUfBI Introduction https://www.seevid.ir/fa/w/9gqFEwtUfBI Why are LLMs important for engineering teams to understand? https://www.seevid.ir/fa/w/9gqFEwtUfBI How should engineering leaders think about using AI in their products? https://www.seevid.ir/fa/w/9gqFEwtUfBI What sort of plan should engineering leaders have to get buy in for AI? https://www.seevid.ir/fa/w/9gqFEwtUfBI Are there ways to show ROI on an investment in AI? https://www.seevid.ir/fa/w/9gqFEwtUfBI How should we communicate with customers about AI in our products? https://www.seevid.ir/fa/w/9gqFEwtUfBI How can companies find a good use case for AI in their product? Check out the new Dev Interrupted website ►► https://linearb.io/dev-interrupted/podcasts Read in-depth articles and gain insights from our favorite speakers ►► https://devinterrupted.substack.com/ Want to improve your engineering team? Get LinearB free for your team ►► https://linearb.io/ #organization #devinterrupted #engineeringleadership #podcast #businessgoals #management #software #enterprise #innovation #engagement #engineering #stakeholders #engineeringoals #engineeringchallenges #ai #roi #data #datascience
3 ماه پیش در تاریخ 1403/03/30 منتشر شده است.
61 بـار بازدید شده
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