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ABOUT THE TALK: Everyone wants to create new products with AI/ML inside, but you need to integrate your data scientists and data engineers into traditional development teams to do that. But what exactly do they do, and where in the process do they fit? Does their work entirely fall under software engineering, product, or something else? Are you even ready for AI/ML? Has anyone figured this out?

Data-scientist-turned-product person Noelle Saldana shares her observations and opinions on how companies should (and shouldn't) use their data people and her hot takes and tragic mistakes to do it the right way the first time.

ABOUT THE SPEAKER: Noelle Saldana has fifteen years of Data Science experience and is passionate about the value data brings to both products and decision-making. She has led Data Science initiatives at companies across multiple industry verticals, ranging from early startups to Fortune 500 enterprises. Her recent focus has been the intersection of product and data strategy; instrumenting data and eliminating data technical debt to enable robust Data Science and Product Analytics downstream.

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This week Noelle Sio Saldana discusses her volunteer work at Crisis Text Line - a 24/7 service that connects anyone with crisis counselors. In the episode we discuss Noelle's career and how, as a participant in the Pivotal for Good program (a partnership with DataKind), she spent three months helping find insights in the messaging data collected by Crisis Text Line. These insights helped give visibility into a number of different aspects of Crisis Text Line's services. Listen to this episode to find out how! If you or someone you know is in a moment of crisis, there's someone ready to talk to you by texting the shortcode 741741.