Bayesia and Causality Link Announce Partnership to Offer New AI-Driven Insights Into Financial Decision-Making
Bayesia, a pioneer in Bayesian networks, and Causality Link, a financial information technology provider and leader in extracting causal links from text, announced they have entered into a strategic partnership agreement to bring together their respective expertise and provide a new level of insight for financial decision-makers.
The collaboration between the two companies has resulted in an automated path to derive executable Bayesian Network Simulations from financial news. The platform simplifies the process by which investors and researchers can leverage the power of artificial intelligence (AI), natural language processing (NLP), machine learning (ML) and Bayesian networks (BN). Potential applications for the technology include investment management, risk assessment and financial modeling.
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The product is described in detail in the publication, “An Automated Path From Financial News To Executable Bayesian Network Simulations”. The paper also examines the relationship between Brazil’s commodities market, inflation, interest rates and food prices as a real-world example of how NLP and BN technology can be used to provide valuable insights and guide financial decision-making.
“We are excited to partner with Bayesia and their incredible team of AI scientists, combining our strengths to offer a direct path from texts to Bayesian Network simulation,” said Causality Link CEO Pierre Haren. “Our joint capabilities allow us to provide investors and researchers with a powerful new tool that delivers valuable insights using the power of real-time collective intelligence. With a better understanding of the relationships between macro and micro economic indicators, decision-makers can stay ahead of the curve, leveraging real-time data to act on potential future events.”
“We’re excited to partner with Causality link, their impressive team and their quickly evolving platform. Our partnership with Causality Link represents a significant step forward in our mission to help organizations make better decisions,” said Bayesia CEO, Lionel Jouffe. “By combining our expertise in Bayesian networks with their advanced natural language processing, we considerably accelerate the process of generating high-quality Causal Bayesian Networks, leveraging the knowledge contained in Causality Link’s large financial news corpus.”
Causality Link’s AI-powered platform analyzes more than 120 million texts globally in real time to identify explicit cause-and-effect statements. Reading texts in 27 languages, the platform aggregates the knowledge of thousands of authors into a single collective intelligence system, which then directly manages the key performance indicators, events, trends, and causal links mentioned in these texts. Through the platform, portfolio managers, analysts, and business users can grasp the collective insights of thousands of authors on the market forces acting on commodities, equities, industries, and countries.
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Bayesia’s flagship product BayesiaLab is a powerful desktop application that provides scientists with a comprehensive “laboratory” for machine learning, knowledge modeling, probabilistic reasoning (including diagnosis and simulation), causal inference and optimization. The result of more than twenty years of research by Dr. Lionel Jouffe and Dr. Paul Munteanu and their team of computer scientists, BayesiaLab utilizes the Bayesian network framework for gaining deep insights into problem domains and reasoning about them.
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