Session Outline
95% of proprietary enterprise data remains untapped, and 95% of talent still can’t access it. In this session, we’ll show how MOSTLY AI delivers on the promise of Data Access and Data Insights for Everyone. We’ll start with the open-source Synthetic Data SDK, used to unlock sensitive proprietary data – enabling scalable access across teams. Then, we’ll move into the MOSTLY AI Data Intelligence Platform, where the AI Assistant bridges the enterprise skill gap with agile, Python-native intelligence — empowering anyone to run agentic analytics and data science on synthetic, mock, or real data using natural language.
Key Takeaways
- How to unlock sensitive proprietary data with privacy preserving synthetic data – enabling Data Access for Everyone
- How to bridge the enterprise skill gap with an agentic, Python native AI Assistant – enabling Data Insights for Everyone
- Why unlocking proprietary data is the next frontier of AI – and a competitive advantage for enterprises that get there first
