After spending hours or even days manually testing your software, you may be wondering whether or not there’s a better way. The good news? There is.

Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

In the dynamic world of software development, ensuring that applications remain stable and functional as they evolve is crucial. This is where regression testing plays a vital role, especially when employing powerful test automation tools like Playwright. For software developers and QA professionals, creating a detailed test plan for regression testing using Playwright can significantly enhance the efficiency and reliability of testing processes.

Did you know that 70% of mobile app users will abandon an app if it takes too long to load, while 57% will consider switching to a competitor after just 3-4 negative interactions with a company’s website or mobile app?

With major events like Black Friday, Cyber Monday, Christmas and New Year right upon us, it brings a plethora of opportunities for e-commerce businesses to significantly increase their sales. However, with this opportunity, there is also a greater concern that arises in the form of “whether your website can handle that outburst of traffic or not!”.