Effective Data & Analytics Strategy to Make Better Investments, Translating to Better Profits and Happy Clients. What to expect: Few organisations have embraced data & analytics to the extent of financial services. Effective adoption brings with the opportunity to make better investments, translating to better profits and happy clients. However, with such a complex technology, there are key challenges to overcome:
- How can we bridge the gap between traditional investment strategies and machine learning?
- What are the pros and cons of using robo-advisors for mid-level investors?
- How can we build up a portfolio of use cases for advanced techniques such as natural language processing?
Data Analytics & AI in Trading will address these issues and more. Join us at Data Analytics & AI in Trading, where will bring together the UK and Europe’s investment managers, wealth managers traders and brokers to share best practice and showcase excellence in AI and emerging technologies. 2020 Speakers include:
- Abhijeet Gaikwad, Portfolio Manager, Trium Capital
- Charles-Albert Lahelle, Head of Data Analytics, Capital Fund Management
- Nadhem Meziou, Head of Fixed Income Quantitative Research, Natixis
- Adrian Coy, Head of Portfolio & Data Insights, Liontrust Asset Management
- Fabian Basciani, VP Technical Lead – Equity Trading Technology, JP Morgan Asset Management
- Rani Piputri, Head of Automated Intelligence Investing, NN Investment Partners
- Francesco Filia, CEO & CIO, Fasnara Capital
- Nadia Abouayoub, Former Strategist/Improvement Lead, Mizuho International
- Harsh Prasad, VP Quantitative Analytics, Morgan Stanley
- Athanasios Bolmatic, Head of Quantitative Investments & Strategies, CdR Capital
- Ling Luo, Global Head of Portfolio Management – CIO Office, State Street
- Kevin Burden, Global Business Manager – Investment Data, Allianz Global Investors
- Ralpha Sueppel, Head of Research & Quantitative Strategies, Microsynergy Partners
- Andreas Petrides, Associate Execution Research Strats, Goldman Sachs
- & many more
To download the agenda visit:’
https://daat.coriniumintelligence.com/downloads/agenda
To view sponsorship options:’
https://daat.coriniumintelligence.com/sponsors/sponsorship-opportunities
To register visit:’
https://daat.coriniumintelligence.com/registration
