Causality Link, an advanced, AI-driven financial information technology provider, and Eagle Alpha, the pioneer connecting the universe of alternative data, today announced the addition of Causality Link’s data to Eagle Alpha’s library of alternative data supplied to asset managers, private equity professionals and corporate enterprises.
In this partnership, Causality Link will make available its data from Research Assistant, the firm’s AI-powered platform that processes and analyzes more than 90 million texts globally in real time to identify explicit cause-and-effect statements. Reading texts in 24 languages, Research Assistant aggregates the knowledge of thousands of authors into a single deductive system, allowing portfolio managers, analysts and corporates to understand the KPIs, events, trends and causal links that reveal the market forces acting over time on a commodity, equity, portfolio, sector or industry. The feed also includes comprehensive data on ten subcategories related to the environmental, social and governance (ESG) factors for public companies worldwide.
Established in 2012, Eagle Alpha is a pioneer in the alternative data universe. The firm was one of the first to understand the value of non-traditional data sources and now has access to nearly 1,500 global datasets, providing knowledge and solutions to top buy-side clients and a variety of leading businesses.
With its advanced AI-driven research platform, Causality Link helps investment research professionals produce smarter decisions by better understanding the “causal links” between their subjects and various market indicators. Causality Link was formed on the notion that long-term success in AI and Machine Learning requires a balance of human and machine collaboration that leverages the strongest qualities in each. Causality Link’s platform merges explicit expert knowledge of causation – not simply correlation – with the mathematical power of predictive analytics enabling professionals to gain big-picture understanding of the financial markets.
The original article was published here.
In the field of AI and Causal techniques, Professor Judea Pearl is a distinguished pioneer for developing a theory of causal and counterfactual inference based on structural models. In 2011, Professor Pearl won the Turing Award. In 2020, Michael Dukakis Institute for Leadership and Innovation (MDI) and Boston Global Forum (BGF) also awarded Professor Pearl as World Leader in AI World Society (AIWS). At this moment, Professor Judea is a Mentor of AIWS.net and Head of Modern Causal Inference section, which is one of important AIWS.net.
