| |
Building Resilient AI
|
With Atai Barkai (CEO, CopilotKit AI), Diamond Bishop (Dir. Engg AI, DataDog), Max Andaker (Principal PM, Datadog). |
| Venue, To Be Announced, San Francisco |
|
Oct 07 (Tue) , 2025 @ 05:00 PM
| |
FREE |
|
|
|
|
|
|
|
|
|
DETAILS |
|
Building Resilient AI: From Experimentation to Production
As AI moves from hype to practical deployment, startups & builders face a critical challenge: how to scale Large Language Model applications with confidence, reliability, & speed. In this panel, SignalFire & Datadog will bring together AI founders & engineers to discuss the evolving challenges of developing, observing, & improving LLM-based products.
The conversation will focus on how teams can approach experimentation, evaluation, & monitoring, & how building confidence in the LLMs they rely on allows them to accelerate product development & deliver trustworthy outcomes. Panelists will share lessons from scaling real-world AI systems, frameworks for creating resilient applications, & perspectives on how the community can establish best practices together.
You will walk away with actionable insights to move faster, mitigate risk, & strengthen your ability to deliver successful AI products to your customers.
Speakers
- Atai Barkai - CEO, CopilotKit.ai
- Diamond Bishop - Director of Eng/AI, DataDog
- Moderator: Max Andaker - Principal PM, Datadog & co-founder of CoScreen
- Additonal panelists to be announced soon!
This event is a part of #SFTechWeek-a week of events hosted by VCs & startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
By submitting this form, you agree to receive marketing communications from SignalFire & Datadog. You can unsubscribe at any time by clicking on the unsubscribe link at the bottom of our emails. See our privacy policy available on our website.
|
|
|
|
|
|
|
|