Systems | Development | Analytics | API | Testing

In the fast-paced world of mobile engineering, the ability to move quickly is often hampered by the very tools meant to help us. While traditional mobile clouds provide essential scale and coverage, they are often optimized for standard, short-lived regression scripts that follow a predictable path.

Combining MCP Servers and LLMs with MS SQL Server simplifies database management with natural language queries, automation, and robust security. Here’s what you need to know.

We’re excited to announce that Speedscale’s proxymock is now available as an OpenClaw skill on ClawHub, bringing powerful API traffic replay capabilities directly into your Claude workflows.

If you've just enabled Kai in your Keboola project, you might be wondering: "Okay, now what?" This guide walks you through your first conversation with Kai, following the same steps I demonstrate in my introduction video.

Every business decision relies on data—and bad data leads to bad decisions. ETL testing validates that your data extraction, transformation, and loading processes deliver accurate, complete, and consistent information to your analytics platforms. In 2026, the stakes have never been higher for organizations struggling with manual data validation that automated testing could eliminate.

Despite widespread awareness of data governance principles, 61% of organizations still list data quality as a top challenge. The gap between knowing what enterprise data management (EDM) requires and actually executing it continues to widen as data volumes explode and AI initiatives demand cleaner, more reliable information.

One year ago, we introduced Analyst Studio, ThoughtSpot’s unified workspace for preparing and managing AI-ready data, with a vision: to transform analysts from report generators into business catalysts. SQL, Python, and visual analysis finally worked together in one workspace, letting data teams move seamlessly between ad-hoc queries and advanced modeling, all while preparing data for the AI revolution we knew was coming.

A global leader in entertainment, gaming, and hospitality partnered with WSO2 to take the organization’s first step to becoming an agentic enterprise by building an intelligent solution that would transform how support teams operate. The solution, a virtual support engineer, automated a manual issue resolution process and reduced resolution times from 2 hours to 1 minute, helping to provide a better support experience for both customers and internal operations teams alike.

Customers don’t buy software because they feel loved. They buy it because the product works, solves a real problem, meets security, scalability, and reliability requirements, and fits their budget. No amount of empathy or friendliness can compensate for missing features or poor performance. So at first glance, it’s easy to assume that great products alone win customer loyalty. But once the contract is signed and the product is in use, the rules change.

Over the past few weeks, an unusual experiment has been unfolding quietly and then very publicly.