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.

Antti Rintala, a consultant at Kipinä, has outlined in his blog series the foundation required to leverage artificial intelligence. In this summary, we compile key perspectives that help build a solid foundation not only for AI solutions, but also for sustainable data-driven management.

An AI solution often sounds like it involves a massive amount of mathematics, black boxes, and consultant jargon. But when you look at it from a practical standpoint, building an AI product is ultimately not that mystical. It requires the same thing as any successful product: a clear problem, a bold vision, and a great team.

In this blog, I discuss two very different customer cases at Kipinä – and what we learned from them about building an AI product. The first story starts from a doctor's everyday life. The second stems from a global objective to make ESG measurable.

The planning and preparation phases of digital projects are invariably challenging and time-consuming. Complex architectures and solutions requiring deep technical expertise often become a source of headaches, introducing a sense of uncertainty into the procurement process. At worst, the process is fueled by the most toxic element of all—hurry. How do you choose the right partner for a digital development project? What external expertise is required? What will the total cost be?

Have you noticed how some team members not only perform the tasks assigned to them, but bring real value to the table, raising the performance level of the whole team? Renowned researcher and management consultant Liz Wiseman calls these individuals 'Impact Players'. Delving deeper into the idea of the 'Impact Player', we identified five situations that are also common in IT development and decided to tackle these situations from the perspective of the Kipinä Senior Tech Leadership model.

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!

Technology is evolving faster than ever before, while IT challenges themselves are becoming increasingly complex. Read on and find out how to overcome the most common challenges in the IT environment to pave the way for a more sustainable way for technology development.