In this webinar, Iguazio (Acquired by McKinsey) explored how to successfully deploy your Gen AI applications while mitigating these challenges, using NVIDIA NIM and MLRun. What we covered: 1. The unique NIM architecture, its role in the complete deployment process of Gen AI, and special NIM insights 2. How to orchestrate and automate the entire AI pipeline end to end, optimize GPU usage, and add guardrails to mitigate risk, to create efficient systems that balance performance and cost 3. The technical advantages of NIM, blueprint architectures, and successful case studies 4. A live demo of the joint solution, highlighting strategies for implementing risk controls, ensuring reliable performance while guarding against increasing costs.

In this session, we explored the unique challenges of implementing gen AI in production environments, when agents are in direct contact with your customers. We shared the Iguazio & MongoDB one-stop-shop solution for building gen AI applications that scale effectively and efficiently, with built-in guardrails and monitoring. We'll show how the end-to-end application lifecycle is addressed – From data management all the way to governance and monitoring in production. We shared a live demo of a customer-facing agent conversing with different customers at a large bank, and adapting its responses and tone of voice to each customer. We also held a live discussion and a jam-packed Q&A!