Successful Big Data Conference gathered researchers and professionals
On September 26-27, around 130 people gathered in Växjö for the 10th Big Data Conference. Researchers, students, and professionals from both the private and public sectors listened to a series of presentations and discussed AI and its applications.
Day 1 of the conference offered a comprehensive overview of how AI and machine learning can be used in various sectors, from smart industry and forestry to software development. With speakers covering everything from drone surveillance to code generation with AI, it was clear that we are facing a future where technology continues to drive innovations and changes in how we work.
- This is the tenth time we are organizing the conference, and it is so exciting to see how it has grown and attracted more participants. The buzz during breaks and dinner shows how important it is to have meeting places to discuss and be inspired by data-driven research and development, says Diana Unander, who coordinated the conference.
Day 2 of the conference focused on how visual tools and AI can be used to manage and analyze complex data sets in various fields, with a particular focus on e-health. Presentations on data visualization, privacy-preserving techniques, and AI-supported healthcare demonstrated how these technologies can improve decision-making and protect individuals’ anonymity. With insights from experts in health data, visual analytics, and security issues, participants gained a comprehensive view of the opportunities and challenges associated with these technologies.
The conference not only offered new knowledge but also served as a meeting place for new collaborations and networking between researchers and practitioners. The days also highlighted the importance of interdisciplinary collaboration to drive innovation forward.
Check out photos from the conference here
Soon, all presentations will be available for viewing on the conference’s website, so stay tuned: https://lnu.se/en/BigData2024
For more information about the research conducted at the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA): https://lnu.se/disa