Using Data Science and AI to Guide Investment Decisions
Updated: Jun 20
The newly refreshed HPC & AI on Wall Street conference has selected WR Hambrecht Partner and Chief Technology Officer, Thomas Thurston to give an invited talk titled, “Using Data Science and AI to Guide Investment Decisions.” HPC and AI on Wall Street takes place September 11-12, 2019 at the Roosevelt Hotel in New York City.
Thurston, a widely respected Venture Capitalist and Data Scientist, is known for his innovative approach to using data science to identify disruptive growth companies with an extraordinarily high rate of success. Since 2008 his team has helped guide billions of dollars in growth efforts using AI, machine learning, complex systems modeling and unstructured data mining, demonstrating the success that can be achieved with the convergence of HPC and AI.
Thomas will share how his fund is using technology to gain unique insights into private businesses and markets that otherwise disclose little or no public data. He’ll also share counter-intuitive insights about the various elements that predict new business success, what seemingly important elements have surprisingly less value, and how executives are grappling with augmented decision making as they aim to grow their businesses in today’s rapidly changing technology environments.
Thomas will speak on Thursday, September 12, 2019 at 8:15AM EST.
About HPC and AI on Wall Street
HPC & AI on Wall Street showcases the achievements of FinTech innovators who are transforming Wall Street and financial services in the age of big data. Attendees have opportunities to collaborate with experts and peers and to gain first-hand knowledge about advances in artificial intelligence, high performance computing, and data science that are driving new opportunities and technical innovations in the financial services sector.
About Thomas Thurston
Thomas Thurston is a venture capitalist, data scientist, and Partner at WR Hambrecht Ventures.For the past decade Thomas has been a global evangelist for using data science to improve innovation decisions. He engages audiences of all sizes at international conferences, industry and executive events, keynote addresses and boardroom forums. Growing up in Honduras, Bolivia, India, Nepal and Indonesia, he believes innovation decision making is one of the most far-reaching and poorly understood determinants of social well-being. Inquiries may be directed to: email@example.com