Harnessing digital complexity and enabling AI - Semantic knowledge graph as universal enablers
Session Overview
The world is becoming more complex and we understand less of it everyday. While machine-generated artifacts accumulate at unprecedented speed in the internet, human-generated knowledge is diluted into an omnipresent digital noise soon feeding from itself. We need new ways of working to harness this growing digital complexity and ensure our endeavors add value instead of increasing the digital debt. Knowledge graphs (KGs) can help us with this task: leveraging their unique capability to represented fast changing intricate knowledge, KGs enable us to focus and integrate atomic data/information/knowledge of interest thanks to fit-for-purpose models. Using a metamodel to track the impact of any projects and frame AI applications, KGs are the indispensable partner you need to make sense to your digital life.
Target Audience
Graph, semantic, AI/ML/NLP experts or amateurs
Desired Feedback
Comments
Speaker Details
Cedric Berger, Head of Knowledge Extraction and Integration, Roche, Pharma Technical-Operations, Basel
Cedric holds a PhD in biophysics and a MBA in Technology and Innovation Management. Cedric worked 8 years in biomedical fundamental research and 7 years in drug development both in private and public organisations. Since 2016, Cedric has been involved in the management of data, information and knowledge in healthcare. Currently as the Head of Knowledge Extraction and Integration for pharmaceutical technical operations, Cedric is setting up a platform to prototype generative AI solutions.
Talk Title
Harnessing digital complexity and enabling AI - Semantic knowledge graph as universal enablers
Session Overview
The world is becoming more complex and we understand less of it everyday. While machine-generated artifacts accumulate at unprecedented speed in the internet, human-generated knowledge is diluted into an omnipresent digital noise soon feeding from itself. We need new ways of working to harness this growing digital complexity and ensure our endeavors add value instead of increasing the digital debt. Knowledge graphs (KGs) can help us with this task: leveraging their unique capability to represented fast changing intricate knowledge, KGs enable us to focus and integrate atomic data/information/knowledge of interest thanks to fit-for-purpose models. Using a metamodel to track the impact of any projects and frame AI applications, KGs are the indispensable partner you need to make sense to your digital life.
Target Audience
Graph, semantic, AI/ML/NLP experts or amateurs
Desired Feedback
Comments
Speaker Details
Cedric Berger, Head of Knowledge Extraction and Integration, Roche, Pharma Technical-Operations, Basel Cedric holds a PhD in biophysics and a MBA in Technology and Innovation Management. Cedric worked 8 years in biomedical fundamental research and 7 years in drug development both in private and public organisations. Since 2016, Cedric has been involved in the management of data, information and knowledge in healthcare. Currently as the Head of Knowledge Extraction and Integration for pharmaceutical technical operations, Cedric is setting up a platform to prototype generative AI solutions.
Recording Consent
Yes
Workshop Potential
Yes
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