Introduction Over the past months I’ve had the chance to work with finance sector. In workshops and one‑on‑one sessions we’ve explored how to use generative AI and agentic systems to automate routine tasks, surface insights and improve the customer experience. These sessions have been eye‑opening: when you pair a strong data culture with modern AI […]
Practical AI for Banking: Real Examples, Metrics and Guidance Read More »
Over the past year I’ve had the privilege of training teams in generative AI. These sessions range from quick‑hit workshops to multi‑week agent‑building bootcamps, and the feedback has been overwhelmingly positive. What has struck me most is how quickly teams move from curiosity to impact when the company and its leaders give people the tools
Embracing Accountable AI: Lessons from Real‑World Workshops and Latest Research Read More »
Story & Context Over the past year I’ve had a front‑row seat to the weird world of pilot purgatory. In workshops, board meetings and random coffee chats in Finland, the same theme kept emerging: “We’re doing so many AI pilots… so why doesn’t anything change?” New research backs up those anecdotes. Superintelligent’s agent‑readiness study found
From AI Pilots to Real Impact: Why 2026 Must Be the Year of Leadership and ROI Read More »
The story What if a company could move from AI experiments to real results in weeks, not years? I’ve spent the past two years helping different organisations in Finland figure out what holds back AI adoption. The answers are usually the same: people are too busy to learn, data is disconnected, and leadership support is
Turning AI into Real Results: What Elisa Got Right Read More »
What I heard (and didn’t hear) in AI workshops When was the last time your boss said, “You don’t have to hit every target this quarter. Use three hours a week to learn something new.” I can’t remember that ever happening, and neither can most of the people who show up in my AI workshops.
Make time for AI: Why teams need hours, not just tools Read More »
Over the past decade I’ve helped teams in Finland and abroad build mobile apps, backend systems and, lately, AI‑powered products. When I’m called in to troubleshoot an AI initiative that’s stalled, the root cause is rarely the model or the code. It’s the people behind it, the data they’re allowed to touch, and whether leadership
Why AI Projects Fail? It’s Not the Code Read More »
It was a real pleasure to speak at Ilmarinen, one of Finland’s leading pension and employment wellbeing companies, about how AI can become a real teammate at work, not just a technical experiment. In the session, we focused on the practical side of AI adoption: how to move beyond pilots, integrate AI into everyday workflows,
Bringing AI to Everyday Work – Speaking at Ilmarinen Read More »
At its core, AI doesn’t deliver value unless people know how to steer it. That’s why AI training for employees is essential — otherwise the benefits remain a dream. Yesterday I spoke at the North Karelia Chamber of Commerce’s “Digiklinikka” event about how to make AI truly benefit business, not as hype, but in everyday
AI Training for Employees – How to Guide AI from Pilot to Practice Read More »
Introduction: As software developers, our goal is to deliver high-quality products efficiently. One crucial factor that significantly influences our daily work is the implementation of effective Quality Management Systems (QMS) and processes (if you have a such thing in use). In this article, I will explore the positive and negative impacts of QMS and processes
Clinical validation is the process of evaluating the clinical performance of a medical device, including its safety and effectiveness, in a real-world setting. This process is particularly important for software medical devices, which can have an impact on patient care. Before a product can be release to public use it has to be clinically validated.
Clinical validation for a software medical device Read More »
