My Co-Founder, Jason Baxter, joins me once again to discuss the growth at FOSTR and how our team is thinking about the future of AI inside companies.
Since our last conversation, Jason has sharpened his perspective on where the real value lies for businesses—moving beyond surface-level AI use cases to building the infrastructure that allows organizations to actually compound knowledge over time. We dig into how FOSTR is solving the data problem, why knowledge graphs are critical, and what it means for the next wave of AI adoption in business.
We discuss:
- Why messy data is the biggest barrier for companies adopting AI
- The role of knowledge graphs in creating context and compounding company knowledge
- Why CEOs need to think about AI as infrastructure, not just a tool
- What’s next for FOSTR as it rolls out to more companies
Topics:
(00:00:00) - Intro
(00:03:52) - How FOSTR has evolved since the last time Jason was on the show
(00:10:02) - FOSTR’s infrastructure stack
(00:21:51) - The importance of clean data
(00:28:03) - FOSTR’s Knowledge graph
(00:44:00) - How FOSTR would work in a Real Estate Brokerage firm
(00:49:34) - Who owns the data?
(00:57:34) - What’s coming from FOSTR in the next 45-60 days
Links:
Request early access to FOSTR - https://fostrai.com/
Reach out to ceonetwork@fostrai.com for notifications on the Slack Community Launch
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