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Tag: Databooster

Spatial Data Analytics – AI-driven Probability Maps

In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.

Schedule:

  • 14:45 – 14:55 – Intro and introductions (Dr. László István Etesi – FHNW)
  • 14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
  • 15:30 – 16:00 – Break
  • 16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization 
  • 16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster

AI in Finance and Insurance – The Future of Financial Data Analytics

In the frame of the ExpertDay, an inter-active breakout session is organized by the ExpertGroup AI in Finance and Insurance, presented by M. Vendramet and A. Blum (Unit8) and B.H. Misheva (BFH).The challenges adressed include the mountains of data you are managing in finance and the  currently available machine learning techniques, which can give finance teams an edge in connecting all the data, finding trends and insights. Inspiring insights are presented by N. Königstein and G. Raille:

  • Presentation: Nicole Königstein, Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG: Financial Times Series Prediction in the Age of Transformers
  • Presentation: Guillaume Raille, Engagement Director & Data Scientist at Unit8 SA: LLMs beyond Chatbots: Unveiling the challenges of advanced LLM applications based on a real-world use cases

Join the discussion on topics that might be relevant for the DIA in the future and register here.