Hey there! Ever heard someone talking about structuring their data and you’re just sitting there wondering what the fuss is about? Well, today’s your lucky day! Let’s dive into the world of JSON Schema and why it’s the talk of the town, and we’ll move from basics to some real techy stuff. Grab your snacks!
The growing importance of AI in business is undeniable, with more than 50% of businesses employing artificial intelligence for security and combating fraud. Additionally, beyond the practical applications for businesses externally, AI can be used internally to deliver better customer experiences through competitive tools and features. As the role of AI within an API business’ operations expands, so do the associated AI infrastructure costs.
In the ever-evolving world of data management, Snowflake is at the forefront of empowering our customers to make informed decisions about data while ensuring cost efficiency and control. Admins know that managing and optimizing platform costs can be a complex and time-consuming task. To help them more intuitively understand, control and optimize spend from one centralized place, Snowflake is introducing the new Cost Management Interface (private preview).
We are thrilled to share that we’ve raised $7M in seed funding! At Koyeb, we simplify app deployment with our global serverless platform. We provide an easy way to deploy full-stack applications and databases in production, everywhere, in minutes. We’re focused on allowing developers and businesses to seamlessly build, run, and scale any application globally, with no code rewrite or infrastructure management.
Exploratory testing is a dynamic, flexible methodology emphasizing simultaneous learning, testing strategy, and execution. Unlike traditional scripted testing, exploratory testing enables testers to actively explore software applications using their intuition, creativity, and experience. By assuming the end-user role, testers interact with the software in real-time, identifying potential issues and uncovering usability problems that scripted tests might overlook.
When running automated tests frequently on your website, at one point it may be essential to keep your website statistics consistent with correct visitor counts, conversions, and geo-location data. The impact of such skewed data from automation can lead to pricy mistakes for incorrect ad targeting and the business economy statistics, hence it can be important to exclude test automation from analytics data.
