Ulla Kruhse-Lehtonen is one of the three Co-Founders of DAIN Studios and the CEO of DAIN Studios Finland. She has long experience in heading up large data, analytics, and AI functions in global companies.

At DAIN Studios, Ulla has developed and executed data and AI strategies for many different companies and industries. Her passion is to take companies to the next level using data and AI.

Before DAIN, as Vice President for Consumer Analytics and Insights at Sanoma Corporation, Ulla established and led the Analytics Center of Excellence, a 45-person unit operating in Finland and the Netherlands serving Sanoma’s media and learning business.

Before Sanoma, Ulla led Nokia’s global Consumer Analytics Department with 30 data scientists, providing support in sales and marketing, supply chain, and product analytics to Nokia’s 70+ operating countries.

In 2013, while at Sanoma, Ulla was nominated the Information Leader of the Year in Finland.

In March 2018, Business Insider named Ulla as one of the “32 coolest and most influential women in Nordic Tech.”

Ulla holds a PhD in Economics from the Helsinki School of Economics/Aalto University.

"Accelerate the inenvitable!"

Why do you like working at DAIN Studios Helsinki?

"Many of us have a background in data & analytics at large companies, so we understand their challenges well. Meanwhile, we are small and agile ourselves - we can decide and carry out things quickly. Consulting as an industry is interesting as you get to meet so many different customers and projects. You learn something new every day. "

If you could solve one problem using data and ML, what would it be?

"Using AI in medicine is close to my heart. Precision medicine focuses on tailoring medical treatment and interventions to individual patients based on their unique characteristics. "

The Co-founders

Guiding Your Organization Through the Initial Challenges of AI Adoption

Embarking on the journey of AI and advanced analytics opens a realm of possibilities. Securing leadership endorsement and support is vital for scaling and leveraging AI to achieve a competitive edge, yet garnering organizational backing is equally critical. Recognizing that your team members and specialists are not just the ideators of AI use cases but

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