From Product to Platform: Ecosystem Strategy and Data Privacy in the Generative AI Era
About this session
If you're building software and services, you've likely felt the tide shift and the realization that one can't win alone. Teams are increasingly focused on turning products into platforms, and platforms into ecosystems that compound with every user, model, and partner. This session is a strategist's guide to that shift, drawn from building AI products from single feature to platform scale at Google, including the first monetized AI-enabled business messaging product used by 15M businesses, and seperately scaling conversational AI to an additional 900M+ users across Asia and Latin America. Attendees leave with a framework for the three moves that separate who compounds from who gets commoditized: engineering the product-to-platform transition before a competitor forces it, orchestrating an ecosystem where partners and developers make your AI more valuable, and treating data privacy as strategic architecture vs a compliance tax.
Speaker
Key takeaways
- Gain a framework on navigating the shift from product to platform to ecosystem
- Learn best practices on orchestrating an ecosystem where partners and developers make your AI more valuable
- Get guidance on treating data privacy as strategic architecture vs a compliance tax