Vera Silver (Bitvore’s Chief Information Officer) joined other investment experts to discuss how AI and other data heavy strategies stack up against fundamental investment strategies.
I had an awesome time speaking at the Ai4 Finance Summit last week. It was really nice to be able to attend an in-person event again. “Quant or Fundamental or Quantamental: A Discussion of the Best Investing Strategies & Their Merits” was our session title.
Early in my career I realized the power of quantitative analytics. High adoption of a flexible platform that allows quants to add new variables or new sources of information, and the ability to tap into high quality reference and transaction data are key to a successful AI platform.
AI-enabled investing has already become successful at several large banks and it often drives the best investment options for the customers by improving customer engagement through analyzing transactional data and news articles. NLPs (Natural Language Processing) can assist investors in identifying undervalued shares and probable opportunities for profits by focusing on deep machine learning.
To gain the trust of the investors, it is critical to create transparency in the models. In other words, “show me how you got this answer”. Mature and well managed AI platforms create tremendous opportunities to increase productivity and enhance intelligence in high touch investment environments. At Bitvore we remain committed to delivering data, analytics and AI driven solutions that add value to our client’s investment and risk processes.
Thank you to my fellow panel-mates for such wonderful insights: Marko Kangrga (Head of Data Science Innovation, RavenPack), Mike Schuster (Managing Director & Head of AI Core Team, Two Sigma), Dr. Aitor Muguruza (Head of Quantitative Modelling and Data Analytics, Kaiju Capital Management) and our panel moderator Sally Du (Director, BlackRock).