To effectively market a digital product, it's crucial to understand its impact on key user metrics and determine its level of success. In this session, George Giannarakis Data Scientist at National Observatory of Athens and Ilias Tsoumas Research Data Scientist at National Observatory of Athens will discuss the importance of this causal question, the challenges in providing rigorous answers, and introduce causal AI as a powerful tool to address these challenges.

The session will illustrate these concepts through the story of a digital agriculture product developed by the National Observatory of Athens in collaboration with Corteva Agriscience for cotton farmers in Greece. The comprehensive case study covers all aspects of the project, from product development to on-field deployment. We'll specifically focus on how causal AI techniques were used to accurately estimate the incremental impact of the product on the farmers' yield, which served as the primary measure of success.

In recent months, there has been a surge of AI-powered products flooding the market. In this session, we will guide you through identifying user needs and utilizing AI as a catalyst to address genuine customer requirements.

Sofia Michili, Group Product Manager at Hotjar, will demonstrate insights on identifying use cases for AI in your product and integrating them into your product development roadmap. Sofia will also explore the challenges and considerations associated with these developments, providing strategies to overcome them.

Lastly, you will learn how Hotjar identified and solved real user needs with their new AI features in a short timeframe.

In this session, George Kastrinakis, Director of Data Science at Orfium, will guide you on how to ensure maximum adaptation and value delivery from internal AI systems. By collaborating closely with the Product team, Orfium has successfully avoided the common pitfall of AI projects ending up unused or lacking real value. During the session, you will gain insights into effective practices and strategies for creating a shared development cycle. Additionally, you will learn how to distribute ownership of common workflows, fostering collaboration and maximizing the utilization of AI across various business areas. This session aims to empower you with the knowledge and tools needed to make the most out of your AI initiatives.