Building Safe Enterprise AI: A Practical Roadmap

As enterprises rapidly adopt generative AI (GenAI), data and AI teams must navigate critical implementation challenges. These teams face three core hurdles: first, securely connecting diverse data sources; second, ensuring proper controls and governance; and third, gaining complete visibility and provenance across AI systems. With potential consequences ranging from data breaches to missed innovation opportunities, the stakes are significant.

In this expert panel discussion, industry leaders will share practical insights and proven approaches to address these challenges. Organizations need a systematic approach to accelerate enterprise-grade generative AI development both safely and effectively.

Key Takeaways:

• Understand the fundamental risks in enterprise AI development
• Master five essential steps for building safe enterprise AI copilots that leverage proprietary data
• Learn how to maintain provenance in complex AI systems