14:30 - 15:00
30 minutes

Trust & AI: What future lies ahead?

Speakers

 Romain Aviolat
Romain Aviolat

CISO • Kudelski Group

 Achim  Freyer
Achim Freyer

Country Manager Switzerland • Fortinet

Experienced General Manager Commercial with a demonstrated history of working in the information technology and services industry. Skilled in Negotiation, Sales, Management, Pre-sales, and Business Development. Strong sales professional with a BA focused in Business Management, Marketing/Controlling from Berufsakadamie Stuttgart, University of Cooperative Education.

 Stéphane Koch
Stéphane Koch

Vice-President of the Board of Directors • ImmuniWeb

 Juliane Schröter
Juliane Schröter

Vice-rectrice à l'Université de Genève - Dicastère Numérique et Intelligence Artificielle • UNIGE

 Andrey Suzdaltsev
Andrey Suzdaltsev

CEO & Co-founder • Brightside

Andrey studied Electronics & Computer Science at QMUL, London, and holds a Masters Degree in Big Data Science. As the Co-founder & CEO of BRIGHTSIDE (a company within the Trust Valley ecosystem), he is dedicated to helping businesses and their employees combat fraud and social engineering, which has become increasingly problematic with the rise of generative AI. Andrey's passion for understanding how AI and humans can coexist in balance drives his work and fuels his commitment to addressing the challenges posed by the evolving technological landscape.

 Nikola Vasiljevic
Nikola Vasiljevic

Head of Quantitative Strategy • Barclays Private Bank

Nikola joined Barclays in 2020 as Head of Quantitative Strategy. He is responsible for Barclays Private Bank Capital Market Assumptions and Strategic Asset Allocation. Furthermore, he provides quantitative inputs for advisory investment views of the Investment Strategy team and to the discretionary process.​ Prior to joining Barclays, Nikola worked for seven years at Credit Suisse in its Wealth Management division as an investment strategist, where he was responsible for asset returns forecasting, asset allocation, and portfolio risk modelling. Additionally, he has five years of academic research and teaching experience in Switzerland. Currently, he is also a lecturer at the University of Zurich and the School of Computing in Belgrade, where he teaches about applications of machine learning in finance.​ Nikola received Master Degrees in Physics and Economics from the University of Belgrade. He holds a Ph.D. in Economics (with specialisation in Quantitative Finance) from the University of Zurich and the Swiss Finance Institute.