Generative AI is changing how people interact with data. But as adoption of natural language query and copilots grows, it’s becoming clear that successful generative BI takes more than adding AI to an existing BI platform. Business context, semantic consistency, governance, and metadata are what make AI-assisted analytics accurate and reliable at scale.
In this on-demand webinar, Fern Halper, Ph.D. (TDWI) presents key findings from TDWI’s Q3 Blueprint Report, then sits down with Josh Klahr (Snowflake) and Dave Mariani (CTO, AtScale) for a practitioner’s take on what it actually takes to build a trusted, AI-enabled analytics environment.
The bottom line: an LLM without a semantic layer will guess at “revenue” instead of asking which revenue you mean, and that guessing compounds once AI starts asking its own follow-up questions.
Watch the on-demand session to see how a semantic layer separates organizations getting real results from generative BI from those still stuck in early experimentation.
What You’ll Learn
- How organizations are successfully implementing and scaling generative BI, and what it takes to move past conversational Q&A into agentic, multi-step workflows
- Why semantic layers, metadata, and business context are becoming the foundation for reliable AI-assisted analytics
- How leading organizations are balancing analytics democratization with governance and security, including treating semantic models as code, with version control and automated testing
- The architectural and organizational practices that distinguish high-performing generative BI initiatives, including how to prepare unstructured data alongside structured data
Why Watch
TDWI’s research is clear: success with generative BI isn’t tied to any single tool. The organizations reporting business impact invested in the same three things: a mature semantic layer, prepared unstructured data, and real governance, not one generative AI feature.
This session gives you data from Fern Halper, plus grounded perspective from Snowflake and AtScale on what’s working, and what breaks, when AI starts operating at machine speed instead of human speed.
Watch the replay to see how your organization’s semantic layer stacks up, and what to prioritize next.
Speakers
Fern Halper, Ph.D. VP of Research, Senior Research Director for Advanced Analytics, TDWI
Josh Klahr Director of Analytics Product Management, Snowflake
Dave Mariani Founder & Chief Technology Officer, AtScale
