Conference
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Visit New Relic's Booth 1902 at HumanX

Start your Superhuman Era at New Relic's Booth where you'll:

  • Meet our experts and explore how intelligent observability helps teams predict, prevent, and resolve issues faster, giving you the visibility needed to keep modern systems running smoothly
  • Explore how AI-driven insights and automation can help teams detect, diagnose, and resolve issues faster while building more resilient systems
  • Discover some of our recent product updates around AI monitoring, SRE agents and more

Don't miss our talk, "Seeing the Unseen: How AI Observability Is Redefining Control in the Autonomous Enterprise," on Tuesday, April 7, from 12:00 to 12:20 PM at the Agentic AI Pavilion Theatre in Hall ABC.

Ready for a closer look? Book an onsite meeting for a personalized demo and see how AI-driven insights can build your most resilient systems yet.

イベントの詳細:

Location

Moscone Center South: 747 Howard St, San Francisco, CA 94103

Time

9:00am - 6:00pm PST

日付

April 6-9, 2026

Presenters

Camden Swita
Director, Product Management

講演者

Camden Swita

Director, Product Management

Camden Swita

Session Title: Seeing the Unseen: How AI Observability Is Redefining Control in the Autonomous Enterprise


Date: Tuesday, April 7, 2026

Time: 12:00 PM – 12:20 PM

Location: Agentic AI Pavilion Theatre, Hall ABC

As modern enterprises race toward full autonomy, traditional monitoring tools are hitting a wall. In the Superhuman Era, simply knowing a system is "up" isn't enough. You need to understand the intent and impact of the agentic black box. Join New Relic for a lightning talk where we redefine control for the autonomous enterprise. We will dive into what "AI observability" truly means for mission-critical operations and demonstrate how to gain deep, real-time insights across distributed, AI-powered environments.

Learn how to stay ahead of the curve by detecting anomalies, system state drift, and performance degradation before they ever reach your customers. We will provide practical, actionable steps to implement AI observability, giving your team the confidence to trust and scale autonomous decision-making systems.

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