Boards and CEOs of companies are exploring ways to make best of use of Generative AI to innovate and bring efficiencies. At the same time, there is concern around its safety, regulations and misuse of enterprise data, making it an impediment to GenAI adoption. You can enable the safe and rapid adoption of GenAI in the enterprise, by utilizing the automated data control guardrails, on unstructured and structured data.

This session will explore:

• How is Generative AI so different than traditional AI and BI

• Unique challenges of governing data in the Generative AI era

• Building policies and controls to govern data used by LLMs

• Unique risks posed by generative AI, including prompt injection, poisoning, hallucination abuse and bias

• Emerging AI regulations that need to be addressed

• Best practices for safe adoption of Generative AI