Time
Wednesday, May 27
10:00 AM
Observability is critical for maintaining functional AI platforms
Customers are building and operating end-to-end AI platforms—from data pipelines to LLM-powered applications. As complexity scales, traditional monitoring falls short. Teams need unified observability across infrastructure, services, and models.
In this session, we'll explore Datadog's approach to AI: combining AI-powered operations with end-to-end observability for modern AI systems. Learn how Datadog helps customers gain visibility into model performance, LLM behavior, and infrastructure—while standardizing capabilities to accelerate delivery and improve reliability.
We'll demo:
- Datadog's two-pronged AI approach: Bits AI + AI Observability
- End-to-end observability across LLM apps, models, and GPUs
- LLM Observability and AI agent monitoring
- GPU performance, cost, and Datadog's data advantage
Agenda
Presentation
RSVP
Wednesday, May 27
10:00 AM
By attending this event I acknowledge that I may be exposed to information which the Exhibitor, Datadog, Inc., considers confidential and wishes to limit the disclosure of. I hereby agree to keep such information confidential and to not disclose such information to any third parties. I further represent that I am not employed by a competitor of the Exhibitor and am not attending this Event with the intent to access any such confidential information or gain a competitive advantage for my employer. I hereby give permission to the Exhibitor to use my image, likeness, appearance, voice, and any written or spoken testimonials given by me in connection with the marketing and promotion of this Event and/or any Datadog products or Events.
