Hi to,

Rules-based automation solves only 20% of IT problems, leaving a $250 billion manual burden. BigPanda’s IT Knowledge Graph fixes this by connecting fragmented data and institutional knowledge, allowing AI to handle the complex reasoning rules that humans cannot.

Join us live on April 28 to learn how to:

• Automate L1 Detection: Move beyond manual monitoring to instant incident identification.
• Empower SREs: Surface deep context and cross-stack dependencies automatically.
• Drive Massive ROI: See the framework that delivers a 430% ROI and a 36% reduction in outages.

Stop throwing headcount at infrastructure problems. Save your seat to see how shifting from reactive to proactive operations can save millions in labor costs. If you can’t join live, register anyway and we’ll send you the recording!

More webinars coming up

The next step for continuous delivery: An IDP-driven platform

Continuous Delivery solved deployment, but as AI accelerates software delivery, pipelines are still hard for developers to access without tribal knowledge and manual handoffs. Join us tomorrow, April 23, to learn how platform teams connect catalog data, environments, and pipelines to reduce friction and keep delivery consistent.

From vectors to tensors: Expanding the possibilities of AI search

In this session, we will offer a practical primer on what tensors are, why they matter, and what they make possible in real-world applications, along with concrete use cases across retail, life sciences, and financial services. Join us live on May 5!

Your delivery pipeline’s impact on AI productivity
Organizations are rapidly pouring money into AI tools, expecting faster, more reliable software delivery — but gains aren’t showing up where it counts. Join us on May 7 to explore why AI gains stall, how pipelines absorb throughput, which Continuous Delivery capabilities matter most, and how to close the automation gap.

Developer-led observability: Debugging distributed and AI systems with runtime telemetry

This webinar on integrating observability into everyday workflows is now available on-demand. Catch the replay to see real-world examples and live debugging demonstrations that show how to move faster, escalate less, and build more reliable AI-driven systems from the start.

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