Yesterday, we attended the annual GAIA conference, focusing on AI, Machine Learning, and Data Science, with 1100 attendees. Compared to last year, there was a shift in focus from more futuristic and visionary talks towards practical applications, tooling and how to apply AI and ML to achieve value here and now. The conference continued on the path from previous years, offering an impressive diversity, both in speakers, topics and perspectives, which keeps it relevant and applicable but still eye-opening.

Last week the Data 2030 Summit took place in Stockholm, a conference and networking event focusing on how to strategically work with data and AI to achieve innovation and deliver business value. The event covered three tracks: Data Strategy and Governance, Modern Data Platform and Data Architecture and Quality. 

Right before a short and well deserved Easter break a few of us went to the GAIA conference in Gothenburg to listen to a bunch of presentations on AI. Beyond first impressions about how far the field and conference has come since the first session a few years back we took some notes and talked to new and old acquaintances around town.