In the rapidly evolving landscape of technology, we are forced to ask ourselves a difficult question: in one word, what human skill is the most crucial in the age of AI?

As we're heading into 2026, businesses must prepare for a future where humans and machines collaborate rather than compete. But with AI becoming exponentially better, why should humans keep learning at all?

AI can write code in a few hours, but understanding and security are not as fast. This lightweight experiment revealed how AI-based software development can produce serious vulnerabilities if good practices are not followed - and why the role of humans as code understanders is still invaluable.

The Nordic Business Forum 2025 provided guidelines for the future. We picked up four insights on technology, culture and leadership - read the Kipinä round-up.

Agent-based coding is revolutionising software development. When combined with documentation, test-driven development and quality management, AI agents can accelerate coding and deliver sustainable business growth. The Artificial Septelligence event delved into real-world examples of how AI is transforming everyday software development.

The next phase of AI requires more than the latest technology: it is built on accurate problem definition, quality data, business-savvy implementation, strong security and humanity alongside technology. Kipinä's experts unveil five insights to help make AI solutions truly scalable, secure and relevant.

Artificial intelligence has been used in digital solutions for a long time, but right now the pace of progress is exceptionally fast. Jari Huilla, CTO of Kipinä, stops to ask: what is the essence of the current challenges in the limited context of large-scale language models? So take a peek under the hood at the mathematical constraints of transformer architecture and insight into how to live with these constraints now and in the future.

Empathy, ego and AI - what happens when humans dare to be incomplete in the presence of AI?
Agile Coach Arto Kellokoski discusses the interplay between AI and humanity in his blog. He writes about psychological safety, the impact of ego on decision-making and how AI can act as an emotional partner - not just for efficiency, but for reflection and presence.

There is a lot of talk about AI solutions, but less about what they are actually built on. The answer is simple: data. And not just any data, but high-quality, reliable and business-driven data.

In a blog series, Kipinä consultant Antti Rintala has summarised the kind of foundation required for the use of artificial intelligence. In this compilation, we bring together key perspectives that help build a solid foundation not only for AI solutions - but also for sustainable knowledge management in business.

An AI solution often sounds like it involves a huge amount of maths, black boxes and consultant jargon. But when you look at the practical level, building an AI product is ultimately not so mysterious. It requires the same as any successful product: a clear problem, a bold vision and a good team.

In this blog, I'll open up about two very different Kipinä customer cases - and what we learned with them about building an AI product. The first story starts with the everyday life of a doctor. The second starts from a global goal to make ESG measurable.

Every coder recognises the risk of relying on something - a third-party library, a ready-made solution or even a colleague's recommendation - that you don't fully understand, due to the rush, pressure and your own high standards. Attending the annual AWS re:Invent technology conference in Las Vegas really made me realize my responsibility as a developer when using AI-generated code.

"As coders and customers, are we sufficiently aware of the race between AI and security in software development? Do we recognize the risks of the rush and the ever-increasing pace?"

Have you noticed that when discussing data, the conversation quickly turns to typical challenges such as data quality, architecture or utilization - rather than the opportunities it offers? We put together a list of common challenges and alternative ideas to help us move our customers towards a culture where data conversations focus on the true competitive advantage of data and its smooth exploitation against the backdrop of AI, rather than on problems.

Building a software is difficult. Yet many people think that coding is just coding, or that the hourly rate of two IT consultants automatically means the same quality. But experience has taught us what it takes to take basic chemistry to the top. That's what this article is all about!

It is common for Kipinä's people to take a day away from their normal working context and projects, to learn from each other and gain a new perspective on teamwork and problem solving. In March, the gang got together for a full day to play a game of shipwreck. However, this Battleship day was somewhat different from what you might imagine from a game night.

Tomas is one of Kipinä's first experts. What you can experience in 23 years, where the work of experienced experts is heading, driven by AI and more, and how to keep learning - read Tomas' thoughts!

Aki has been with Kipinen for over a year, and has been in the industry for almost 20 years. In his blog, Aki shares his thoughts on data, cloud and Kipinen - and most importantly, good communication with both humans and AI.

At Kipin, all decisions are made together, and responsibility and commitment are also reflected in our customer work - everyone wants to put their best face forward to deliver the best possible work and value to our customers. The most important winning factor is the customer experience and the value that we at Kipin deliver to our customers.

Artificial intelligence and real-time data are widely used and are part of our everyday lives at work and at home. Understanding customer and end-user needs is everything. Read Ken's thoughts on how to leverage data and AI, and how to get started.