Silvia Quarteroni
Chief Transformation Officer & Head of Innovation
Innovation
Leadership & Administration
(Alumni)
Silvia holds an MSc in Computer Science from EPFL and a PhD in Computer Science from the University of York, UK. She has been a senior research fellow at the University of Trento and later at Politecnico di Milano, Italy. Here, she had the chance to work on Marie Curie and ERC projects relating to natural language processing. From 2012 to 2019, she was a Senior Manager and NLP expert at ELCA Informatique Switzerland, whose AI department she helped create and expand. Silvia joined the Swiss Data Science Center in 2019 and is currently its Chief Transformation Officer, in charge of the team leading organizations to digital transformation.
Projects
Publications
Mentioned in
July 23, 2023
Generative AI: Opportunities and Risks
Generative AI: Opportunities and Risks
With applications such as ChatGPT gaining traction, many questions are arising about Generative AI, the technology behind those tools, sometimes described as disruptive. How does it work, how can it support organizations today and what are the risks and opportunities associated with its use?
February 4, 2023
RTS | How to cohabit with ChatGPT? [In French]
RTS | How to cohabit with ChatGPT? [In French]
What can ChatGPT do for us on a daily basis? "To summarize information automatically, to generate texts, email drafts, to produce computer code.
April 9, 2019
The "Deep Dive" of natural language processing | Part 2
The "Deep Dive" of natural language processing | Part 2
Deep learning – the area of machine learning generating its models from deep neural networks – has revolutionized the way we think of machine learning problems.While its disruptive force initially hit the field of computer vision with the massive adoption.
March 29, 2019
The "Deep Dive" of natural language processing | Part 1
The "Deep Dive" of natural language processing | Part 1
Natural language processing, i.e. the automated processing of human language with computers, is certainly not a new discipline. Some date it back to 1950, with Alan Turing’s famous test which a machine would pass by holding a convincingly “human” conversation.
Case Studies
Public Sector
Modelling the end-user Swiss electricity consumption
Leveraging Data for Energy Transformation: How Data Science can support Swiss Energy Policies?
NGO
Monitoring patterns of violence with the ICRC
The International Committee of the Red Cross (ICRC) and the Swiss Data Science Center (SDSC) cooperate on a research project to better understand patterns of violence.
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