Systems | Development | Analytics | API | Testing

They fit into the workflows, processes, and environments teams already have. As Chris Armstrong, Manager of Developer Relations at SmartBear, explains, every organization is on a different stage of its journey. Some are exploring AI. Others are scaling it. Many are managing a mix of legacy systems, modern platforms, and everything in between. What teams need isn't another platform that demands a complete overhaul. They need solutions that respect their context while helping them move forward with confidence.

The fastest way to AI might not be adding more tools. It might be getting more value from the data you already have. Discover how Cloudera optimizes your cloud infrastructure costs without disrupting your running business applications. This framework drastically lowers your data preparation and data readiness overhead while giving your teams total flexibility to use the analytics tools of their choice.

Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.

For decades, network teams have been forced to choose between speed and stability. AI may finally be changing that equation. In this episode of The AI Forecast, Paul Muller sits down with John Capobianco, Head of AI and Developer Relations at Itential and author of “Automate Your Network,” to explore how AI is reshaping the future of network operations. Drawing on decades of experience in network engineering, John explains why network automation has struggled to gain traction and how AI, agents, and Model Context Protocol (MCP) could finally break the bottleneck.

Stop letting broken downstream dependencies kill your workflow. Use proxymock to record backend data and inbound calls, then flip on a mock whenever a system goes offline. You can even replay traffic to test your code changes and ensure your endpoints are still working perfectly.

Click the link below to mock your backend dependencies in under 2 minutes.

When AI Starts Shipping Code: Why Control Is Your New Competitive Advantage AI systems are already generating code, creating tests, and orchestrating infrastructure changes across enterprise software delivery. But faster execution without control creates a new kind of risk. In this webinar, Perforce CTO leaders explore why uncontrolled AI execution is emerging as one of the biggest operational risks in modern software delivery — and what leading enterprises are doing about it.

What's driving automotive software development in 2026? Discover key trends, market challenges, and modernization strategies with highlights from our annual report.

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Your workflow is officially outdated. Mythos 5 just changed the game. Here is everything you need to know in under 60 seconds.