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Driving Diversity in Data Science & Analytics

Presented by

Polly Mitchell-Guthrie, Vanessa C. Martin, Afyia Miller, Fay Cobb Payton

About this talk

Tentative Schedule: 2:00pm: Intro 2:05pm: Driving Diversity in Data Science & Analytics 2:45pm: Q&A How diverse is the lucrative, growing field of data science & analytics? Does the current demographics composition of this field prognosticate a promising future of diversity? In this panel, we’ll look at the current state of diversity in data science, why these historic inequities matter, & what we can all do to do better. We will draw from the experiences of our panelists who can speak from the point of view of an underrepresented group (female &/or POC) in STEM. We will elicit our speakers’ viewpoints on a number of issues including a lack of STEM education for minority groups early on in life, opportunities of mentorship for women / POC in data science, & how we can better catch up to gender balance policies. Our aim is to move the needle & broaden the data science & analytics field to include more women & people of all kinds who don’t fit the narrow stereotypes of the time.
Dataiku

Dataiku

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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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