
Test Design to Deployment: How Industry Leaders Launched Gen AI Products On-demand Workshop

Founder, Kyryl Opens ML

CPO, You.com

Investment Partner, Village Global, Former Director of Data Science, Replit
Watch workshop sessions on-demand
Test Design to Deployment: How Industry Leaders Launched Gen AI Products On-demand Workshop subtitle
About the Workshop
2024 was a year defined by the GenAI boom, marked by a wave of product launches—some achieving success, while others fell short.
As 2025 approaches, this Workshop is designed to guide technical teams through the planning and design phase of building GenAI products, equipping them with the framework and insights needed to structure successful projects and avoid common pitfalls.
Intended for a technical audience, this workshop is intended for machine learning practitioners, technical product managers, and technical leaders looking to enhance their GenAI project planning and development capabilities.
Designing AI Products & Breakout Rooms
Participants will learn best practices and frameworks for structuring projects, from business need identification to finding the right tools and techniques for their use case – all with a view to how they can design a product with minimal risks and a path to production.
We will help participants outline business needs and success metrics while bridging the gap with technical requirements across the ML lifecycle, including data, evaluation metrics, experimental plans, cost and performance estimates, and integration and monitoring.
We’ll then break into interactive breakout rooms to discuss the topics covered in the first session. Participants will dive deeper into the topics, exchange ideas, and gain insights from both experienced leaders and fellow practitioners.
Panel Discussion
The AI product Showcase will feature lightning demos and a panel discussion with top product and machine learning experts who have successfully deployed GenAI projects.
These practitioners will walk through real-life examples of designing and launching a GenAI product, giving participants insights they can apply practically.
ML lifecycle, including data, evaluation metrics, experimental plans, cost
We will help participants outline business needs and success metrics while bridging the gap with technical requirements across the ML lifecycle, including data, evaluation metrics, experimental plans, cost and performance estimates, and integration and monitoring.
We’ll then break into interactive breakout rooms to discuss the topics covered in the first session. Participants will dive deeper into the topics, exchange ideas, and gain insights from both experienced leaders and fellow practitioners.
ABOUT THE ORGANIZERS
Georgian’s Transferred Learnings
Georgian’s Transferred Learnings is a community of 1000+ machine learning scientists and engineers who are working on applied problems in the startup community. We run monthly sessions to explore applied AI techniques. Participants include members from across our network and our portfolio of companies.

Comma Capital
Comma Capital is a generalist pre-seed fund based in New York started by David Ongchoco and Adarsh Bhatt. Comma runs a community of 1000+ early career Gen-Z and Millennial builders and hosts community events across New York and San Francisco. Comma works closely with founders in the first 3-6 months as first-check investors supporting operators turned founders on early go-to-market, product, hiring, strategy and more.

Faq
Terms and Conditions
*By registering for this event (the “Event”), you acknowledge and agree that you have read and will be bound by the Terms and Conditions referenced herein, and that your participation at the Event is in accordance with any applicable laws, regulations and rules, including but not limited to the laws, regulations and rules of the United States of America and Canada, and any applicable agreements, policies and procedures to which you are subject. You further acknowledge and agree that you have read and understood Georgian’s Privacy Policy. Should you have any questions or concerns with regards to Georgian’s privacy practices, please contact privacy@georgian.io*