What It's About
All-in-one data platforms promise to solve your hardest data problems, but they often come with a hidden cost: lock-in. When a vendor embeds your business rules, security models, and AI logic into their proprietary software, you lose control of your technology stack. You might own your raw data on paper, but you don't truly own the system running your business.
This "black box" approach creates huge risks for enterprise AI. When artificial intelligence operates inside a closed system, it's almost impossible to see how decisions are made, verify where data comes from, or move your workflows somewhere else later.
Join Stardog Co-Founder and SVP Engineering, Mike Grove, as he explains how to break free from monolithic platforms. You’ll learn how to build an open, flexible data architecture using a Semantic Layer, giving you complete ownership over your business logic and making your AI transparent, accurate, and easy to audit.
Meet our Speaker
What We'll Cover
- Monolith vs. Sovereignty: Why owning your raw data isn't enough if your business logic is trapped inside a vendor's software.
- Opening the Black Box: How combining Knowledge Graphs with LLMs makes AI outputs clear, trustworthy, and easy to trace back to the original source.
- Keeping Your Logic Portable: How an open Semantic Layer allows your business rules to work across any database, cloud, or application.
- Connecting Without Moving: How Stardog unifies data where it already lives without forcing you to copy it into a single proprietary system.
- A Practical Blueprint: Simple steps enterprise teams can take today to protect their architecture from vendor lock-in.