Zirra is proud to sponsor the annual AI and Data Science in Trading Conference!
AI and Data Science in Trading is an event for senior management from hedge funds and investment banks to discover how to maximize their alpha. During this two day conference, 95 industry-leading speakers from the top asset management companies, academia and technology providers will participate in various panels. The AI and Data Science in Trading Conference is the largest focused meeting of experts within Capital Markets using AI for alpha discovery, managing risk and optimizing portfolios, and takes place annually in both New York and London.
Zirra is sponsoring this year’s conference to be held in London, 16–17 of September.
If you’re in London and interested in learning more about Zirra and its capabilities, you are welcome to contact us, we will be happy to meet up!
Zirra’s Co-Founder and Chief Strategy Officer, Aner Ravon, is participating in a panel discussing quant methods and alternative data. Key speakers to join Aner include:
- Peter Davaney-Graham — VP, Product Strategy, Content and Technology Solutions, FactSet
- Charles-Albert Lehalle — Head of Data Analytics Capital Fund Management
- Paolo Puggioni — Director, Data and Innovation, BlackRock
- Pier Francesco Procacci — Senior Associate, Quant Research, Citi Research
The panel will be held on the first day of the conference between 2:50 pm — 3:30 pm (STREAM B)
About Zirra:
Zirra is a tech-based business intelligence company that uses artificial intelligence to produce cutting-edge company analysis for thousands of publicly listed companies across all major stock markets. We offer consolidated and comprehensive data sets, processed and normalized from complex structured and unstructured sources. Combined with our proprietary, AI-powered event classifiers and competition model, we have created powerful scoring applications, providing an additional layer of deep and diverse alternative data sets for investment professionals looking for actionable insights and trading signals to complement trading and investment strategies.
