With increasing pressures from businesses and consumers to adopt AI, many firms face challenges with inadequate risk controls, poor data quality and escalating costs to deploy AI effectively. Successful AI projects hinge on the quality of the data and establishing proper guardrails for AI to effectively help solve business challenges with speed and accuracy.

Through Stardog and PwC’s approach – aimed at managing AI hallucinations – organizations can mitigate risk, help safeguard privacy and accelerate business outcomes.

Key Takeaways:

•  Learn how industry is delivering safe, accurate, and effective GenAI solutions, navigating challenges with adoption and hallucinations.

•  Explore how AI is being leveraged to supercharge access to your data, providing insights to users that are difficult to obtain with traditional approaches.

•  Understand why your data strategy is critical for successful GenAI deployments, and learn new strategies to position your data for maximum GenAI success.

• Learn what knowledge graphs are, and why leading firms are positioning them centrally to drive success with AI solutions

Panelists:

• Josh Rattan, Partner – Data Risk and Privacy at PwC

• Matt Lucas, Field CTO, Stardog