Not long ago, the thought of Artificial intelligence (AI) products becoming mainstream seemed far off. Fast forward to the widespread adoption of ChatGPT, Gemini, and other large-scale apps, and it’s easy to see that the world has changed drastically. AI isn’t just the future anymore – it’s the present, and every business is hopping on the bandwagon. From chatbots streamlining customer service to algorithms predicting market trends, AI is reshaping how businesses operate.

Move your data lakes and warehouses to Google Cloud with a new migration incentive program as well as enhanced BigQuery migration services and tools.

Earlier this year, Yellowfin celebrated its 20th anniversary. While we have been around for a while, some things remained constant - our focus on customer and innovation. Yellowfin was borne out of the frustrations felt by our founders, and millions of other information workers, in accessing the data they need to do their jobs effectively, a frustration just as relevant today as it was 20 years ago.

Every application, web or non-web-based, has to deal with data. Even though there are static websites, where data is somehow embedded, most sites and applications rely on dynamic data stored somewhere and somehow. What testing can you do around data handling? Can you use exploratory testing to uncover problems related to data? What type of problems? In this article, you’ll get some guidelines for your exploratory testing sessions around data.

Imagine you're building an e-commerce application. You want to use Django and bring all the benefits of that framework. But there are issues. Django's service-oriented architecture doesn’t play well with the event-driven nature of what you need to build. You need to automatically send a welcome email when a new user registers, instantly update inventory levels when an item is purchased, and notify users when their orders are shipped.

Processes are the foundation of your organization. They lay the groundwork for how your business operates, from product development and customer service to procurement and financial operations—and everything in between. Even work that isn’t formally defined in a process is likely a part of one. If you’ve ever tried to map or document a business process, you’ve probably learned that there’s no straightforward way to get it done.