Allie K. Miller keynote speaker

Former Head of Machine Learning for Startups and VC at Amazon, Youngest-Ever Woman to Build an Artificial Intelligence Product at IBM, National Ambassador for the American Association for the Advancement of Science, Entrepreneur, Investor
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TOPICS
  • Accelerating Your AI Career
  • The Future of Artificial Intelligence
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ABOUT SPEAKER

Allie Miller is a top artificial intelligence leader, advisor, and investor.

Previously, Allie was the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS), advising the top machine learning researchers, founders, and investors in the world. She was the first hire and ran the business to become a 100-person 10-figure organization inside AWS.

Prior to that, Allie was the youngest-ever woman to build an artificial intelligence product at IBM—spearheading product development across computer vision, conversation, data, and regulation for thousands of companies.

Outside of work, Allie is changing the game of AI. Allie has spoken about AI around the world, advises on global AI public policy, and created over 10 guidebooks to educate businesses on how to successfully build, scale, and outperform with AI.

Allie was named as AIconic’s 2019 "AI Innovator of the Year", LinkedIn Top Voice for Technology and AI 2019–2023, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, Chief in Tech’s Top 100 Women in Tech to Watch in 2022, ReadWrite’s Top 20 AI Speakers in the World, MKAI’s Top 20 AI Mavericks, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Allie is also the co-founder of Girls of the Future, a national ambassador for the American Association for the Advancement of Science (AAAS), an ambassador for the 10,000-person organization Advancing Women in Product, an angel investor in machine learning startups, and has won the Grand Prize in three national innovation competitions.

Allie holds a double-major MBA from The Wharton School and a BA in Cognitive Science (coding a three-year ML study and studying Computer Science, Linguistics, Psychology) from Dartmouth College.


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