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AIIA: Kexin Xie, Salesforce
Manage episode 250561038 series 1432771
Content provided by Seth Adler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Adler 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.
Kexin Xie is a data scientist for Salesforce. Among other things, Kexin is responsible for building the engineering infrastructure, services, and frameworks that makes the Salesforce marketing cloud so powerful. In this conversation, Kexin discusses how the power of predictive analytics is leveraged in businesses for "next-best-action" interactions. While these tools drive more engagement and revenue from the customer side, which Kexin touches on, he dives deep on how data science makes this possible. Kexin makes the intangibles tangible by describing the process by which algorithms are designed—including some pitfalls to be aware of—and recognizing "valuable noise." Kexin is a realist, though, saying, "There's the use case part, there's the data part, and we're trying to build a bridge between the end solution and how we get there from the initial raw form. Eventually, we'll start to understand the raw data more and start to build even more pipelines and then see how they connect with each other; their commonalities. And eventually, I think the bridge will be formed, and then building new things will be much easier than the initial use case."
100 episodes
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Manage episode 250561038 series 1432771
Content provided by Seth Adler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Adler 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.
Kexin Xie is a data scientist for Salesforce. Among other things, Kexin is responsible for building the engineering infrastructure, services, and frameworks that makes the Salesforce marketing cloud so powerful. In this conversation, Kexin discusses how the power of predictive analytics is leveraged in businesses for "next-best-action" interactions. While these tools drive more engagement and revenue from the customer side, which Kexin touches on, he dives deep on how data science makes this possible. Kexin makes the intangibles tangible by describing the process by which algorithms are designed—including some pitfalls to be aware of—and recognizing "valuable noise." Kexin is a realist, though, saying, "There's the use case part, there's the data part, and we're trying to build a bridge between the end solution and how we get there from the initial raw form. Eventually, we'll start to understand the raw data more and start to build even more pipelines and then see how they connect with each other; their commonalities. And eventually, I think the bridge will be formed, and then building new things will be much easier than the initial use case."
100 episodes
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Similar to B2BiQ
Media and tech aren’t just intersecting — they’re fully intertwined. And to understand how those worlds work, and what they mean for you, veteran journalist Peter Kafka talks to industry leaders, upstarts and observers - and gets them to spell it out in plain, BS-free English. Part of the Vox Media Podcast Network.
…
continue reading
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continue reading
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