Operations | Monitoring | ITSM | DevOps | Cloud

What does enterprise AI look like when the user is no longer human? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Ash Ashutosh, CEO of Pinecone and a three-time founder, to explore the next evolution of AI infrastructure: from vector databases built for humans using chatbots, to knowledge engines designed for AI agents that need to understand context, take action, and get work done.

Without constraints, feedback, and clear standards, AI can create complexity faster than teams can manage it.

Learn how to implement end to end monitoring and observability for Langflow using OpenTelemetry and SigNoz. In this video, we walk through instrumenting Langflow workflows, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real time visibility into flow execution, LLM requests, tool calls, token usage, latency, failures, and performance bottlenecks. Langflow ships with built in OpenTelemetry support, making it easy to export telemetry to SigNoz with minimal configuration.

What does it really take to be "the calm in the storm" during a major incident? In this candid panel from PagerDuty on Tour, Chris Conklin (Technology Executive AIOPs, TD Bank) and Sam Brinley (CVP Enterprise Cloud Solution Architect & Engineer at New York Life) sit down with PagerDuty to talk through two decades of evolution in IT operations – from the "Wild West" of early network management to today's push into AI and agentic operations.

AI-powered ransomware is becoming a reality. Researchers recently demonstrated autonomous AI agents that can scout networks, steal credentials, and accelerate ransomware attacks. In this 60-second Zero Ticket Minute, learn what this means for cybersecurity, IT operations, and the future of agentic AI. Can AI also help stop these attacks? Watch to find out.

An AI agent that can't open a browser is just guessing. Stefan from Checkly shows how giving AI coding agents a real browser via Playwright enables reliable end-to-end test generation and debugging, closing the quality gap created by faster, AI-driven shipping. The session compares Playwright MCP vs the Playwright CLI for agent workflows, showing that thanks to MCP spec changes, lazy tool loading, and skills, the two are now effectively just different interfaces to the same tool, with no real token advantage either way.