BIO

Saara Hyvönen is one of the three Co-Founders of DAIN Studios. She has extensive experience in the area of Data and AI strategy development, identifying optimal data use cases and defining related requirements on data, architecture and compliance. From algorithms to AI ethics, she loves making data work by finding answers to the full range of what, why, and how questions.

Prior to Dain Studios, Saara worked at Sanoma, leading the customer analytics development area, at Nokia as the head of global CRM analytics and at Fonecta leading a team responsible for search, relevance, and automated content enrichment. Before stepping into the business world Saara worked as a post-doctoral researcher in data science at the University of Helsinki, participating in multidisciplinary research projects ranging from dialectometry to atmospheric sciences as well as teaching advanced data analytics courses.

Saara Hyvönen has a PhD in mathematics and extensive experience in the application of data science in both academic and business environments. She was listed among the 100 Brilliant Women in AI Ethics 2021.

Why do you like working at DAIN Studios Helsinki?

"A team of great people working in interesting and versatile problems in data & AI: what could be better?"

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

"My one problem to solve with data and ML would be how to increase fairness in the world. This of course leads to solving all kinds of other problems which cause unfairness, and defining what is fair, and how different things balance - but interesting problems are no the easy ones."

The Co-founders

Data Governance Roles and Responsibilities

In today’s data-driven landscape, organizations are increasingly recognizing the importance of robust data governance. Effective data governance initiatives ensure that data is accurate, consistent, and secure, enabling businesses to leverage it for strategic decision-making. And the specific roles in data governance structure are crucial to reach those results. For companies, understanding the roles in data

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