Operations | Monitoring | ITSM | DevOps | Cloud

What the Octopus Can Teach Us About AI (w/ Steve Wunker)

Tim and Tom sit down with Steve Wunker — Managing Director of New Markets Advisors, author, and early pioneer of the smartphone — to explore the big ideas behind his latest book, AI and the Octopus Organization. Steve breaks down why AI shouldn’t just “bolt onto” old processes, how distributed intelligence reshapes the firm, and what leaders can learn from one of nature’s most adaptable creatures. From organizational plasticity to the changing role of middle managers, Steve offers a pragmatic roadmap for thriving amid rapid AI-driven transformation.

AI Maturity

Learn how Cortex helps engineering organizations unlock AI excellence by measuring, standardizing, and improving how teams adopt and use AI coding assistants like GitHub Copilot, Cursor, and Claude. Cortex enables organizations to mature their AI practices—not just adopt AI tools, but adopt them safely, consistently, and with measurable engineering impact. What you’ll learn in this video.

AI Readiness

Discover how Cortex helps engineering organizations unlock AI excellence by building the strong, reliable foundation needed for safe and scalable AI adoption. Cortex goes beyond just giving developers access to AI tools; it ensures your teams are ready to use AI safely, reliably, and at scale. What You’ll Learn in This Video: With Cortex, teams gain visibility into engineering practices, track compliance across services, and create a repeatable framework for safe AI innovation. By automating accountability and enforcing standards, Cortex helps organizations adopt AI with confidence, not risk.

AI Governance

Discover how Cortex helps organizations unlock AI excellence by bringing structure, visibility, and governance to teams that are building AI and machine learning models. As companies scale their AI initiatives, Cortex becomes the single source of truth for all ML and AI assets, ensuring reliable versioning, ownership, compliance, and responsible AI practices. What you'll learn in this video.

Enabling the Puppet Infra Assistant MCP Server for Code Assist

Unlock the full potential of your Puppet infrastructure with this quick guide on enabling the Puppet Infra Assistant MCP Server for Code Assist. In just 2 minutes, learn how to streamline your coding process and enhance your development workflow. Whether you're a seasoned developer or just starting with Puppet, this video provides easy to follow steps to get you up and running. TIMESTAMPS Subscribe at ⁨‪@PerforcePuppet‬ Website: puppet.com LinkedIn: /perforce-puppet.

Stop Spending Hours on Slides: Use This Free AI Tool Instead

In nowadays society, time is our most valuable asset. Whether you are a social media manager creating a monthly report or a startup founder pitching to investors, the pressure to deliver visually stunning slides is constant. However, traditional slide design is often a bottleneck. Enter the era of the ppt ai maker. These intelligent tools are no longer just a futuristic concept; they are essential productivity hacks for anyone looking to scale their output without sacrificing quality.

9 Third-Party Risk Monitoring Tools That Actually Cut Vendor Assessment Time

Nearly one in three cyber breaches now start with a supplier, McKinsey found in 2024. A single vendor review cycle often spans 3 to 5 weeks due to manual evidence chasing, according to Forrester's 2024 State of Third-Party Risk Report. And a May 2025 Gartner brief warns that this "perfect storm" of attacks, supply-chain shocks and new regulations is forcing boards to modernize third-party risk-fast.

AI agents just got smarter thanks to PagerDuty + AWS

We are on the ground with AWS and announcing innovations that give customers more powerful AI agents for incident management. These new and improved integrations bring PagerDuty context into the AWS ecosystem for faster resolution and more connected data across the business. And, with our new competency, we take this a step further by codifying these best practices into our joint customers’ day-to-day operations. Announced today, here are some of the highlights.

Observability in the AI age: Datadog's approach

Ten years ago, Datadog was a single-product company focused on breaking down the silos between dev and ops. As the shift towards the cloud accelerated and organizations transitioned to the new DevOps model, we set out to develop an observability platform that would enable these teams to safely scale faster and answer the essential questions about their services: are they available, secure, compliant, performant, and cost-efficient?