Systems | Development | Analytics | API | Testing

Cloud-first, AI-Powered test automation in SAP Cloud ALM

SmartBear participated in and won first prize at the ALMathon, the annual hackathon for SAP Partners. The challenge: Create innovative use cases to extend SAP Cloud ALM. So, we integrated Reflect, our AI-powered test automation product, into SAP Cloud ALM to enable users to automate their manual testing process.

The UK's AI Moment: From Innovation to Scale

During London Tech Week, our CEO, Mike Capone, joined CNBC to talk about the UK’s position in the global AI landscape, and why this is a moment the country should not waste. His message was simple. The UK already has many of the ingredients for leadership in AI. The question now is how fast it can move from innovation to scale.

The AI Blueprint for the Next Decade | BUILD 2025 Luminary Conversation

AI has already fundamentally changed how we interact with data on a daily basis, and it’s going to keep changing. As we embrace agentic and conversational AI tools, there remain foundational questions to answer about how and where we use this technology, and how we iterate and innovate with it for the future. Join Snowflake CEO Sridhar Ramaswamy for a fireside chat with two of the most influential figures in artificial intelligence: Andrew Ng, Executive Chairman of LandingAI and founder of DeepLearning.AI, and Swami Sivasubramanian, VP of Agentic AI at Amazon Web Services.

Top Sandbox Platforms for AI Code Execution in 2025

In 2025, as AI models increasingly generate, refactor, and deploy code on their own, developers face a new challenge: how to safely run code they didn’t write. Sandboxes have become the backbone of this new workflow because they are lightweight, secure environments that let teams test, validate, and monitor code without risking production systems.

Accelerating GenAI Adoption in Financial Services

"Watch the full Cloudera webinar replay: Accelerating the Adoption of Generative AI in Financial Services. This comprehensive session outlines a step-by-step framework for moving from pilot projects to enterprise-wide AI adoption, covering everything from data strategy to governance and use case prioritization. This is your essential guide to a faster, more secure GenAI rollout.

AI Data Enrichment: Turning Your Business Data into a Strategic Advantage

In the age of automation, raw data isn’t enough. Businesses are now realizing that AI data enrichment, which is the process of enhancing existing data with intelligent, contextual information, is the key to unlocking more accurate insights, better personalization, and more efficient operations. The challenge? Making enrichment operational. That’s where Integrate.io comes in.

Fix an error in Copilot without leaving your IDE

Production errors are every developer's nightmare. You're enjoying your coffee when suddenly alerts start firing - users are experiencing crashes, and you need to find and fix the issue fast. Today, we'll walk you through how to use AI to diagnose and fix critical errors in an application using Rollbar's MCP (Model Context Protocol) server.

Speedscale Proxymock: Freely testing cloud native apps alongside AI code assistants

We’ll always remember 2025 as the year AI code assistants went big. Copilot, Cursor, Claude, Windsurf, whatever. Developers went from mistrusting these tools, to being expected to turn over much of their coding labor to them. Even if, according to an extensive Stack Overflow survey, only 3 percent of professional developers say they ‘highly trust’ AI coding tools.