Crash Course

Crash Course on How to use AI in business

Minna Kärhä Business Area Lead, AI Business Design, Solita

Veli-Matti Uski Senior Data Business Designer, Solita

Mikael Ruohonen Business Lead, Data Science & AI, Solita

This 1,5 hour Crash Course will provide insights on how to adopt and scale AI more effectively. Join us this May!

Location Online

Date 27 May 2025

Companies and organisations are investing heavily in AI to secure a competitive edge. As AI becomes a foundational technology in shaping business strategies, companies must prepare by investing in AI infrastructure and expertise to stay competitive. With this Crash Course on How to use AI in business on May 27, we share practical insights from multiple front runner customer projects.

Staying ahead in the AI-driven landscape

According to our experience, front runner companies stay ahead in the AI-driven landscape by applying the following approach:

Clear (AI transformation) roadmaps with high-impact sub-transformation/use cases,
Projects that are derived from key business targets of the company,
Centrally led and supported projects so that things start to really happen and
AI platform capabilities that enable faster transformation, create synergies and enable scaling.

Regardless of where you are

Whether you’re starting your AI journey and figuring out how to benefit from AI in your business or thinking about how to get more value from your AI experimentations and solutions, this Crash Course will provide insights from our experience to adopt and scale AI more effectively.

In this Crash Course, you’ll learn:

How to overcome common roadblocks in AI transformation—such as the PoC trap, unrealistic expectations, and lack of business design—without having to reinvent the wheel.
We’ll guide you through real-world examples from our customer projects, provide examples of clear AI transformation roadmaps and share how to enhance AI capabilities
We will demonstrate how to identify value, prove value, and scale up in your AI program.
Get inspired by practical cases you can share within your organisation and discover reusable concepts like our Data-driven business puzzle.

Who should attend

This Crash Course is best suited for business leaders who needs to take better decisions about AI transformation and IT leaders and practitioners who want inspiration and insights for more efficient AI adoption. Sign up!

Agenda CEST times

Date 27 May 2025

Location Online

09.00	Crash Course on How to use AI in business begins
10.15	Q & A
10.30	Event ends

Say hi!

Meet the speakers

Minna Kärhä

Business Area Lead, AI Business Design

Minna is a human-centric AI Business Designer who uses design thinking and data to solve all kinds of business problems. She has 25 years of experience from the intersection of business and data, building and leading teams, developing and transforming ways of working, and building a business-driven, actionable data and AI strategy that leads to concrete activities.

Minna is a human-centric AI Business Designer who uses design thinking and data to solve all kinds of business problems. She has 25 years of experience from the intersection of business and data, building and leading teams, developing and transforming ways of working, and building a business-driven, actionable data and AI strategy that leads to concrete activities.
Mikael Ruohonen

Business Lead, Data Science & AI

Mikael is a distinguished leader in the field of data science, AI, and analytics, with a proven track record of growing highly successful AI businesses and running large AI & analytics business transformations. He leads Solita’s Data Science, AI & Analytics business and has experience from multiple data, analytics & AI professional service firms as well as the retail industry and SOK, where he was responsible for the overall utilisation, development, and roadmap of the data, data science & analytics solutions and capabilities of the company.
In his current role, Mikael gets to see widely how data, analytics & AI development and utilisation are transforming different organisations, and has a strong passion for advancing this transformation with his experience.

Mikael is a distinguished leader in the field of data science, AI, and analytics, with a proven track record of growing highly successful AI businesses and running large AI & analytics business transformations. He leads Solita’s Data Science, AI & Analytics business and has experience from multiple data, analytics & AI professional service firms as well as the retail industry and SOK, where he was responsible for the overall utilisation, development, and roadmap of the data, data science & analytics solutions and capabilities of the company.
In his current role, Mikael gets to see widely how data, analytics & AI development and utilisation are transforming different organisations, and has a strong passion for advancing this transformation with his experience.
Veli-Matti Uski

Senior Data Business Designer

Veli-Matti drives tangible value through cutting-edge AI and data solutions. With a robust background from both industry and academia, he excels in transforming complex challenges into innovative business models and actionable strategies. His multidisciplinary approach has enabled him to build production AI/ML solutions and develop service-based business models across diverse sectors. Veli-Matti empowers companies by identifying data opportunities, analysing capabilities, and crafting strategic roadmaps.
In addition to his industry work, he shares his expertise by teaching machine learning and visual analytics at universities in Tallinn and Oslo, while his doctoral research focuses on organisational capabilities in pay-per-outcome models.

Veli-Matti drives tangible value through cutting-edge AI and data solutions. With a robust background from both industry and academia, he excels in transforming complex challenges into innovative business models and actionable strategies. His multidisciplinary approach has enabled him to build production AI/ML solutions and develop service-based business models across diverse sectors. Veli-Matti empowers companies by identifying data opportunities, analysing capabilities, and crafting strategic roadmaps.
In addition to his industry work, he shares his expertise by teaching machine learning and visual analytics at universities in Tallinn and Oslo, while his doctoral research focuses on organisational capabilities in pay-per-outcome models.