Systems | Development | Analytics | API | Testing

Ever wondered if your fitness app actually knows you, or just logs your steps? Is it really smart enough, as smart as you think it is? Is it helping you train smarter, recover better, or just ticking off numbers on a screen? AI-powered fitness apps are quickly moving beyond basic tracking. They’re becoming intelligent companions, even those that understand your body, goals, and limits.

When the testing volume increases without effective control, maintenance is more time-consuming, feedback is slower, and risks are bigger, especially in environments where continuous integration and release cycles are accelerated. In this article, you’ll explore smart automation strategies that can help you reduce test duplication and improve QA team efficiency.

Are you wondering where all your team’s time is being spent? Is it all spent on managing software that promises agility for finance teams? In today’s fast-paced and ever-changing business landscape, it is imperative for organizations to be agile. Being able to embrace change and respond quickly has become a key factor in the success of any business.

Autodesk, Envision Pharma, and Cemex use Fivetran and Snowflake for real-time analytics and faster decision-making.

In this second blog in a multi-part series, learn how SAP attempts to limit customer choice and discourages customers from accessing SAP data in third-party data platforms.

Engineering teams now move faster than ever. In 2025, they build smarter, ship quicker, and rely heavily on AI tools and continuous delivery pipelines.

Welcome to the latest entry in Yellowfin Japan’s long-running ‘How to?’ blog series. This series of blogs aims to provide a step-by-step guide of how to get the most out of your Yellowfin BI experience, such as how to create your own Yellowfin dashboards. Catch up on the series below.

API versioning is essential for managing changes without breaking your system. In microservices, where APIs are the backbone of communication, versioning ensures stability, backward compatibility, and smooth updates. Here’s a quick breakdown of what you need to know.

Software release cycles are accelerating. In fact, 85% of organizations now release at least once per month, with a 51% increase in automated testing spend last year alone. Yet API quality still breaks down. Why? APIs sit at the center of this acceleration, but as velocity increases, many organizations face a persistent challenge.

If your BI and analytics tool isn’t powered by Agentic RAG AI, you’re missing out on advanced AI capabilities that enhance efficiency and visibility into data. Whereas agentic AI can work autonomously and without human intervention, RAGI AI combines the best information retrieval methods available with the power of AI. The result is deep knowledge of organizational data that improves over time.