Systems | Development | Analytics | API | Testing

AI is fundamentally reshaping software quality, and the organizations leading this shift aren’t waiting to adapt. In October 2025, we brought together over 1,000 quality engineering leaders, practitioners, and innovators for Transform, our annual conference exploring what’s next in software delivery.

What if you could ask ChatGPT questions about your own company data and get instant answers? No SQL. No waiting for IT. No learning PowerBI. Just type a question like "What were our top 10 customers last quarter?" and get the answer in seconds. This isn't science fiction—it's something you can set up today. And here's the surprising part: this capability is actually more valuable for non-developers than developers.

At Koyeb, we are building high-performance serverless infrastrcture for AI. Run workloads on serverless GPUs, next-generation AI accelerators, and CPUs. Our platform runs fully isolated, secure microVMs on bare-metal servers around the world with autoscaling, scale-to-zero, and cold starts as low as 250ms. Just like everyone building in AI, 2025 was a busy year for us. We shipped a lot of features and improvements designed to make your AI deployments experience faster, smoother, and more cost effective.

‍ In an era where one-size-fits-all approaches in healthcare are increasingly falling short, personalisation stands out as a powerful transformation. Personalisation in healthcare holds the promise of delivering the proper treatment to the right patient at the right time. With rapid advancements in data collection, computing power and artificial intelligence (AI), what was once a futuristic vision is steadily becoming today's reality.

‍ Artificial Intelligence is unequivocally becoming the essential driver of business growth, a mandate clearly expressed by the market. But if you’re a U.S.-based enterprise leader, you know the reality feels a lot messier than the headlines suggest. Everyone is talking about AI transformation, but for many, it turns into a maze of complex data science, over-budget projects, and Proofs of Concept (PoCs) that never make it to production.

While AI is revolutionizing the future of nearly every industry, it’s also created a unique set of challenges and liabilities that will need to be addressed as the area grows. Enter AI governance: a set of rules and best practices to ensure that AI is used effectively, securely, and responsibly. But what exactly does that mean, and why is it so crucial for businesses?