Sustainability Investment Research Using Cognitive Analytics

How Parabole Uses Graph Analytics Database, AnzoGraph DB, to Deliver Richer and Faster ESG Insights for Portfolio Managers

Originally aired July 18, 2019

Anthony J. Sarkis, Chief Strategy Officer, Parabole.ai
Steve Sarsfield, VP Product, Cambridge Semantics

LandingPageImagePortfolio Managers and analysts using environmental, social and governance criteria need to not only understand the policies management teams disclose to investors, but also perform due diligence on the actual actions and activities of these companies. ESG investment totaled $33 trillion in 2018 as investors seek to invest in companies with sustainable and ethical business practices. As AI makes its way into the corporate research domain, it is possible for these investors to gain a competitive advantage by using advanced automated discovery tools.

Parabole's Alpha ESG solution, powered by AnzoGraph DB, Cambridge Semantics’ distributed, MPP analytical graph database, uses AI and machine learning to provide rich and timely insights, enabling portfolio managers and analysts to monitor ESG signals, discover new investment opportunities, expose potential risks, and accelerate knowledge discovery from structured and unstructured data.

Listen to Anthony J. Sarkis, Chief Strategy Officer at Parabole, and Steve Sarsfield, VP Product at Cambridge Semantics, in this on-demand webinar as they explore:

  • Why Parabole chose to embed AnzoGraph DB as its underlying infrastructure for conducting machine learning and cognitive analytics at scale
  • How portfolio managers are using Alpha ESG to exploit data to identify potential risks and new opportunities

Simply fill out the form to the right to watch this informative webinar.