Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.

If you ever tried to go global, you have probably faced a reality check. A whole new set of issues starts to appear when you start to operate a workload over multiple locations across the globe: So it looks like a great idea in theory, but in practice, all of this complexity multiplies the number of failure scenarios to consider!

AI. It’s on everyone’s mind—and marketers are no exception. You’ve likely heard about it from co-workers, vendors and peers, and if you had a nickel for every AI mention you heard … well, you get the point.

In the fast-paced world of software development, speed and efficiency are paramount. The State of DevOps 2023 report by Google has reinforced the significance of quick code reviews, claiming that teams with faster code reviews experience a staggering 50% higher software delivery performance. This finding underscores the importance of optimizing the code review process. But how can teams achieve this improvement?

Miro and Figma have triggered the imagination of many developers looking to build similar collaborative features into their applications. It’s a fast developing landscape with new entrants and innovations emerging all the time across product categories - CMS to slide decks, spreadsheets to project management.