Future-Proof Your Mobile Testing with Unrestricted Device Access For years, Platform Engineering teams have faced a painful choice: build a fragile, expensive internal device lab to get full control, or use a rigid public cloud and lose access to the system internals. That choice ends now. Join us for the launch of the Real Device Access API, the first solution that treats mobile devices as Infrastructure-as-Code.
Enterprise interest in generative and agentic AI has accelerated dramatically over the past two years. Organizations across industries are exploring how AI agents, intelligent assistants, and automation can improve productivity, streamline operations, and unlock insights from growing volumes of enterprise data. Yet as enthusiasm grows, so do questions around cost, security, and operational complexity.
In 2025, Model Context Protocol (MCP) captured the imagination of the AI engineering community. 2026 will be the year that everyone realises their prototypes need to run in production.
You deploy a web app. Users open it. Something breaks. It could be a button that doesn't respond on Safari. A form that submits twice on slow connections. A page that loads fine for 10 users but crashes for 500. These aren't rare edge cases. They're what happens when testing gets skipped, rushed, or treated as a final step before launch. It's not one activity. It's a system of checks that runs across the entire development lifecycle, from the first commit to post-deployment monitoring.
Modern SAP customers often face competing demands. While navigating the routine complexities of an SAP system, they must also prepare for faster releases and looming S/4HANA deadlines, juggling the day-to-day with long-term innovation. Intelligent quality assurance helps SAP users balance these priorities.
Poorly documented or inconsistent error models lead to brittle clients and unreliable automation. Whether you're building APIs for human developers or AI agents, proper error handling is crucial for automation and reliability. In this guided tutorial, SmartBear Solutions Engineer Rosemary Charnley demonstrates how to design robust error models in OpenAPI specifications using Swagger Studio.
You used an API this morning. Probably before you even got out of bed. That weather app? It's your phone communicating with a server in the cloud — sending a request, getting data back, and displaying it on your screen in seconds. Location. Request format. Expected response. That's the anatomy of an API call. And it's happening constantly across nearly every app on your phone. Hugo Guerrero and Amanda Alcamo break it all down in Episode 2 of The API & AI Breakdown. No jargon. No fluff. Just clarity.
The EMEA region is undergoing a massive transformation, driven by companies demanding instant, actionable insights embedded directly into their applications and workflows. This fundamental shift away from legacy BI has translated into record-breaking momentum for ThoughtSpot, positioning EMEA as our fastest-growing region globally. The Agentic Analytics revolution is here, and ThoughtSpot is delivering on the promise to make the world more fact-driven.
Learn about Appian Composer, an AI-augmented development tool that accelerates application modernization. It provides a guided experience that takes business and IT from idea to application seamlessly using generative AI.