Alex is a mathematician by training, an entrepreneur by trade.
He works at Neurons Lab, the company he co-founded in 2019, as AI/ML Director.
Alex is the author of a blog with 1M+ views and scientific articles with hundreds of citations.
He taught lectures at the University of Verona, University of Copenhagen, Ukrainian Catholic University.
Alex also gives public lectures at big European conferences and advises companies on systematic solutions to ML and quantitative finance issues.
Anti-data-science: the Taleb's barbell in the AI world
AI for Business and Products
Session Language |English
Data-driven applications are steadily moving through the Gartner cycle, passing the hype peak and the trough of disillusionment. Today AI is a logical strategic investment, so why don't we apply investment principles to it? Celebrated Taleb's barbell states that we should invest only in assets with low risk and almost-promised returns, or in extremely risky assets that promise even more returns. Nothing else in the middle! In this talk, I want to present a system for the evaluation of AI projects on a similar scale. We will study extremely risky deep tech startups, as well as commoditized cloud AI tools, and will review that "middle" part that you have to avoid in any case. The talk will be interesting for key decision-makers: AI investors, product and R&D managers.