Industry Events
May 27, 2020
This webinar will see RavenPack's Chief Data Scientist, Peter Hafez, join other industry experts, to debate the benefits of Big Data, along with ML & AI, to manage uncertainty and tail risk events.
The Human and Machine to Manage Uncertainty webinar will debate the benefits of Big Data, Machine Learning & AI to manage uncertainty and tail risk events. It will also examine the role of industry experts in extracting and applying knowledge in this process.
The event will be split into two parts: Part I: Machines and Uncertainty (data & information)
• Peter Ager Hafez – Chief Data Scientist, RavenPack • Saeed Amen – Founder, CUEMACRO • Tony Guida – Senior Quant Research, RAM Active Investments
Part II: Humans & Machines in Uncertainty (information & insights)
• Ralph Sueppel – Head of Research and Quant Strategies, Macrosynergy • David Pope – MD of Quantitative Research, S&P Global Market Intelligence • Olivier Cognet – CEO & Co-Founder, Predictive Layer The Moderator for the online event will be Efi Pylarinou – Global Fintech Advisor & Influencer
When? May 27th 2020
What time? 16:00 – 17:30 PM CET
Please use your business email. If you don't have one, please email us at info@ravenpack.com.
We will process your personal data with the purpose of managing your personal account on RavenPack and offering our services. You can exercise your rights of access, rectification, erasure, restriction of processing, data portability and objection by emailing us at privacy@ravenpack.com. For more information, you can check out our Privacy Policy.
Your request has been recorded and a team member will be in touch soon.
We consider incorporating sentiment signals from news, earnings call transcripts, and insider transactions to boost the risk-adjusted returns, and revive factor performance.
We find stronger, more predictable market reactions when the words of company executives agree with their actions.
We have gathered 12 insights from 2021 research that can be leveraged in 2022.