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Why AI Adoption Moves at the Speed of User Trust Irina Malkova on Lessons Learned Building Data Products at Salesforce
Manage episode 495972289 series 2938687
Content provided by Brian T. O’Neill from Designing for Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian T. O’Neill from Designing for Analytics 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://ppacc.player.fm/legal.
In this episode of Experiencing Data, I chat with Irina Malkova who is the VP of AI Engineering and VP of Data and Analytics for Tech and Product at Salesforce. Irina shares how her teams are reinventing internal analytics, combining classic product data work with cutting-edge AI engineering—and her recent post on LinkedIn titled “AI adoption moves at the speed of user trust,” having a strong design-centered perspective, inspires today’s episode. (I even quoted her on this in a couple recent product design conference talks I gave!) In today’s drop, Irina shares how they’re enabling analytical insights at Salesforce via a Slack-based AI agent, how they have changed their AI and engineering org structures (and why), the bad advice they got on organizing their data product teams, and more. This is a great episode for senior data product and AI executives managing complex orgs and technology environments who want to see how Salesforce is scaling AI for smarter, faster decisions.
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Manage episode 495972289 series 2938687
Content provided by Brian T. O’Neill from Designing for Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian T. O’Neill from Designing for Analytics 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://ppacc.player.fm/legal.
In this episode of Experiencing Data, I chat with Irina Malkova who is the VP of AI Engineering and VP of Data and Analytics for Tech and Product at Salesforce. Irina shares how her teams are reinventing internal analytics, combining classic product data work with cutting-edge AI engineering—and her recent post on LinkedIn titled “AI adoption moves at the speed of user trust,” having a strong design-centered perspective, inspires today’s episode. (I even quoted her on this in a couple recent product design conference talks I gave!) In today’s drop, Irina shares how they’re enabling analytical insights at Salesforce via a Slack-based AI agent, how they have changed their AI and engineering org structures (and why), the bad advice they got on organizing their data product teams, and more. This is a great episode for senior data product and AI executives managing complex orgs and technology environments who want to see how Salesforce is scaling AI for smarter, faster decisions.
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Similar to Experiencing Data w/ Brian T. O’Neill (UX for AI Data Products, SAAS Analytics, Data Product Management)
The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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