If data is oil, AI is the shale revolution
LLMs cut the cost of turning unstructured data into investor-ready signals by 5-100x. Data that was previously stranded may now be a valuable asset.
Read MoreLLMs cut the cost of turning unstructured data into investor-ready signals by 5-100x. Data that was previously stranded may now be a valuable asset.
Read More
Some analysts spend months building backtests that no-one is willing to trust. Learn why, and what to do about it.
Ensuring integrity and trust: learn how blockchains can and should be used for data validation, data integrity and data provenance systems.
Knowing where data comes from is critical to understanding the data. This is particularly true for financial data due to its time sensitive nature.
Many investors are unable to convert strong returns into clients or capital. Learn why and how to fix it.
A credible track record is required for managers to win the trust of potential investors. Creating and maintaining one can be a costly challenge.
Financial analysis will often yield incorrect results if the underlying data is not point-in-time.