From Structured Data to Artificial Intelligence

Posted on October 20, 2019 by Editor

Continuing on the theme from last story, what is the next big disrupter in financial markets? You guessed it. According to a recent Greenwich Associates report, Artificial Intelligence (AI) is set to have a big impact, with 44% of capital market professionals saying that their firms are already using AI in their trading processes.

Firms also expect AI to play an increasingly prominent role in trading, with four out of five firms expecting AI and machine learning to be fully integrated into the trading process in 3-5 years’ time.

However, despite rapid adoption and unbounded enthusiasm, the majority of AI applications in capital markets fail to come anywhere close to the complex products being developed by big tech companies. The problem? Data availability.

For machine learning and AI applications to be properly developed they need a vast store of high quality, structured, machine-readable data, and this data just isn’t as readily available for financial markets. One of the many benefits of a widescale switch to structured data for financial statements is the potential to not only utilise AI applications for investor analysis, but to more easily develop those applications in the first place.

Read more here where you can also access the report, The Future of Trading: Technology in 2024 – The Impact of AI, Big Data and Analytics on Your Trading Desk.

Other Posts


Would you like
to learn more?

Join our Newsletter mailing list to
stay plugged in to the latest
information about XBRL around the world.

By clicking submit you agree to the XBRL International privacy policy which can be found at xbrl.org/privacy