Articles and webinars

With all the success stories and hype surrounding AI, we often forget that it doesn't magically solve everything. In fact, it's quite bad at a few things. Those of us who've spent enough time wrestling with AI have learned to spot the traps or work around them. But for new users, there are some common scenarios where AI fails spectacularly. Hitting one of these early on can leave you questioning why anyone thought this stuff was useful in the first place.

Right now, there's a gold rush for AI use cases. Some offer companies a sharp competitive edge. Others? They have the potential to lift entire industries.

Lately, I've been watching conversations unfold across industries where professionals seem to compete in who can mock AI the hardest. The tone is usually the same: AI will never be useful in our field, it could never match human skill, and so on. But what if?

Let's return for a moment to the basics that ultimately determine the success of each project.

Small digital businesses join forces to participate in Yle's socially significant framework agreement.

Have you been excited about the benefits of Low-Code solutions in software development - the speed of development and lower costs, but then encountered its limitations? You're probably not the only one. But with hybrid Low-Code development - combining the best of traditional software development and Low-Code development - you can overcome the challenges you face.