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Causality Link Selects MT Newswires as Content Provider for Artificial Intelligence (AI)-Driven Research Assistant

Causality Link, an advanced, AI-driven investment technology provider, today announced an agreement with MT Newswires to incorporate the financial news information provider’s industry-leading content into the Causality Link Research Assistant platform.

MT Newswires’ global financial news strengthens Causality Link’s vast and growing corpus of content with a perspective relied upon by institutional investors globally. By leveraging MT Newswires’ “Live Briefs PRO – Global Markets” offering — a comprehensive, real-time, multi-asset feed of global capital markets and economic events –Causality Link gains more than 130 categories of original, ticker-tagged and meta-coded content that will augment the Research Assistant’s signals and financial models.

“The addition of high-quality, focused news stories impacting equity markets worldwide will be a significant complement to our Research Assistant,” said Eric Jensen, co-founder and CTO of Causality Link. “Our evaluation showed strong evidence supporting great coverage and a high signal-to-noise ratio. MT Newswires is a recognized leader in the business and financial news space and it’s great to be working with the firm to advance the unmatched knowledge our platform collects and aggregates.”

Causality Link’s unique, AI-powered Research Assistant extracts the knowledge contained within millions of documents and other text-based sources to provide investors and analysts with a unique perspective on companies, industries and macroeconomic drivers. By aggregating explicitly stated cause-and-effect relationships between market indicators and company key performance indicators (KPIs), the Causality Link platform provides clients with more significant, longer-lasting, less emotional and more precise insights and forecasts. With the help of its proprietary machine learning (ML) and natural language processing (NLP) technologies, the solution is leading the next wave of AI innovation to aggregate human knowledge from thousands of authors.

In the field of AI and Causality, Professor Judea Pearl is a pioneer for developing a theory of causal and counterfactual inference based on structural models. In 2011, Professor Pearl won the Turing Award, computer science’s highest honor, for “fundamental contributions to artificial intelligence through the development of a calculus of probabilistic and causal reasoning.”  In 2020, Professor Pearl is also awarded as World Leader in AI World Society (AIWS.net) by Michael Dukakis Institute for Leadership and Innovation (MDI) and Boston Global Forum (BGF). At this moment, Professor Judea also contributes to Causal Inference for AI transparency, which is one of important AIWS.net topics on AI Ethics.