Eva
Agapaki
Founder and CEO at Hatch Labs
"AI Product Management"
"AI Product Management"
24 - 4:30 PM EDT/New York (See in local time)
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04/24/2024 4:30 PM
04/24/2024 04:50 PM
America/New_York
#WTGC2024
"AI Product Management"
#WTGC2024
"AI Product Management"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"AI Product Management"
"AI Product Management"
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Session: AI Product Management
As AI continues to permeate every facet of our lives, the role of product managers in steering these projects has never been more pivotal. AI product management poses unique challenges, from setting the right expectations to ensuring ethical use of technology. This talk aims to provide insights into the distinct nuances of managing AI products and solutions to some of the most pressing challenges.Attendees will gain:
1) An understanding of how AI product management differs from traditional product management.
2) Best practices for defining AI product goals, measuring success, and ensuring iterative improvements.
3) Strategies for bridging the gap between AI research teams and other cross-functional teams.
4) A roadmap for navigating ethical considerations, ensuring fairness, and building trust in your AI products.
5) Real-world case studies exemplifying pitfalls to avoid and approaches that yield success.
By the end of this session, participants will be equipped with a comprehensive toolkit to confidently guide AI products from ideation to deployment, ensuring they not only meet business objectives but also stand up to the highest ethical standards. This talk is designed for both seasoned C-suite product leaders venturing into the AI space and product managers seeking to understand the unique dynamics of AI product management.
Key Takeaways
- understanding of how AI product management differs from traditional product management
- Best practices for defining AI product goals, measuring success, and ensuring iterative improvements
- Strategies for bridging the gap between AI research teams and other cross-functional teams
- A roadmap for navigating ethical considerations, ensuring fairness, and building trust in your AI product
- Real-world case studies exemplifying pitfalls to avoid and approaches that yield success
Bio
Dr. Eva Agapaki is a passionate innovator, entrepreneur and product leader with nearly a decade of academic and industry experience in AI/ML and digital twins. She is currently the Head of Product at Next Millennium Media, where she leads the engineering and product team.Prior to that, she served as a Professor at the University of Florida and Director of the Digital Twins lab and also founded TENET TWIN, a digital twins startup leveraging applied AI research.
Eva holds a Ph.D. from the University of Cambridge and was honored with a U.S. National Academy of Engineering grant during her Ph.D. research at MIT for her contribution to addressing one of the 14 Grand Challenges in Engineering. She also holds an MSc in Geotechnical Earthquake Engineering from UCLA and a BSc in Civil Engineering from the University of Patras in Greece.
