, Vice President, Enterprise AI and Automation, NVIDIA
We'll share our journey, best practices, insights, and lessons learned from our ongoing generative AI project deployments at NVIDIA's own enterprise, including chatbots, virtual assistants, employee productivity copilots, code assistance copilots, IT service and operations management optimizations, and more. Generative AI holds tremendous promise for enterprises but comes with specific challenges. Enterprise-grade generative AI solutions must deliver relevant, in-context, and personalized enterprise knowledge at the place where work gets done, abide by data privacy and data security, and be guardrailed against hallucinations, toxicity, and unfair biases. We'll share our battle-tested reference architectures, guidance on when and whether to customize large language models, experiences with testing generative AI solutions, and perspectives on the cost-benefit economics for the use cases we deployed.