Image from AI for Peace: https://www.aiforpeace.org/library

AI can, and should, be used for maintaining and promoting global health in various ways. With enough social and political will we can enable a new era of AI that brings well being to communities that need it most.



I recently had the wonderful opportunity to moderate an event with Jaclyn Rice Nelson, co-founder of Tribe AI, a community of top machine learning engineers and data scientists who partner with companies to build impactful AI solutions.

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A Discussion with Debi Stack, AI VIP


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CODEX

Article from Gesture blog can be found here.


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Between the proliferation of data science, analytics and data transformation, many businesses are wising up to the trends that stand to set them apart from their competitors.

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Companies are beginning the journey toward becoming data driven and by the end of the decade, every industry will be driven by some form of automation and adoption of artificial intelligence. But how does a company go from being data savvy to data driven to an industry leader that fully harnesses AI?

Enter the data maturity curve!

What are the main components of data maturity?

Phase 1:


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Creating and crafting data science projects that have staying power and impact business value is a central focus for our data science team at Gesture and we aim to refine our commitment to creating a data driven environment continuously.


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How to best harness the power of data science at your startup and scale up so you can do the fun stuff.

1. Embrace being a Generalist:

Irene Bratsis

Women in Data NYC Chapter Co-Lead, Boston Lead; Women in AI speaker and partner outreach; Women in Trusted AI; Data Scientist Machine Learning Engineer; Artist

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