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BIA-Brukerstyrt innovasjonsarena

FinAI: Artificial Intelligence tool to monitor global financial markets

Alternative title: FinAI: Kunstig Intelligens for overvåkning av de globale finansmarkedene

Awarded: NOK 14.0 mill.

Today, investment professionals work in a state of information overload, facing an ever-increasing abundance of information, much of which comes from new sources like transaction data, geolocation data and web scraped data. Current tools do not allow investors to process such vast amounts of information effectively, which leads to incomplete or simply erroneous investment decisions. Exabel is developing an intelligent modelling platform that uses Artificial Intelligence and state-of-the-art data science techniques to turn the massive streams of data into actionable insights. The FinAI project will conduct the necessary research for the modelling platform. Our system makes it possible for our users to build quantitative models at scale, and include multiple finance-relevant data streams. The research at the core of the project are focused around two main topics: 1) How to effectively analyse and extract financial information from texts (so-called NLP, or Natural Language Processing)? We finalise this topic in 2020 2) How to effectively make quantitative modeling of time series, such as companies' profits and share prices, accessible to human investors? We continue with this topic in 2021 Over the course of the 4-year project, we have worked closely with our research partner Norsk Regnesentral, in addition to several investment groups in both Norway and internationally. We have taken our core product to market, and we have customers and data partners across 4 continents, as well as new offices in London and New York.

As a result of the project, we have delivered the Exabel Platform, which is the leading alternative data analytics platform in the finance industry.

Today, investment professionals work in a state of information overload, facing an ever-increasing abundance of information. Current tools do not allow investors to process such vast amounts of information effectively, which leads to biased or simply erroneous investment decisions. Exabel's innovation is an intelligent modeling platform that uses state-of-the-art Artificial Intelligence methods and mathematical modelling techniques to help investors turn the massive streams of data into actionable insights. The FinAI project will conduct the necessary research for the modeling platform. Our system will support analysis across thousands of exchange-listed companies to surface insights that are tailored to our end users' needs. This will be achieved by an automated model-building framework supporting various types of models at a massive scale. The main issue is one of generating relevant insights from the raw data flows: processing the data inputs effectively and then building models that best explain the observable patterns in financial markets. We have structured two areas for which research is needed: 1) Extracting structured information from natural language (NLP) 2) Quantifying the effect of information through model building The tool will be optimized for model building on large non-homogenous data sets. It will be unique in the way it supports analysis of a broad range of data sets including what’s referred to as Alternative Data, to identify patterns that are intelligible only via state-of-the-art data science techniques.

Funding scheme:

BIA-Brukerstyrt innovasjonsarena