Solution introduction
Capital markets are changing due to technological innovation, event-driven shocks and broader macroeconomic forces. But current machine learning systems falsely assume that the future will be very similar to the past
Causal AI finds the real drivers of capital markets, enabling industry players to discover market structures, unlock value and solve their biggest challenges
Investors demand lower fees and greater explainability from discretionary managers, while systematic funds must constantly extract new signals from an ocean of marginally-useful data. Banks find their models frequently upended by regulations, geopolitics, or regime changes.
Artificial Intelligence and Machine Learning techniques can provide solutions to these and other problems. But current approaches fail to unlock the true potential of AI for capital markets:
- Non-causal ML techniques based on pairwise relationships will necessarily overfit to the past
- Existing platforms offer limited insights beyond simple predictions based on past patterns
- They are not truly explainable, and are often perceived as a “black boxes”
- They fail to translate predictions and models into optimized business outcomes
causaLens is the only AI technology that can unlock true value in Capital Markets.
