Applying Emerging Technologies to Real-World Business Challenge in Financial Services
Today’s world of technology is evolving at lightning speed for financial services firms. Terms like artificial intelligence (AI), machine learning (ML) and distributed ledger technology (DLT) bandied about, technology conversations seem to be all about hype.
The reality is that financial services firms need to understand the impact that these new technologies could have and begin now to plan strategically for their use. Certainly, some use cases will be fulfilled more quickly than others. However, some are already nearly ready to be used in day-to-day financial services operations.
This whitepaper takes a no-nonsense approach to exploring how these three new technologies – AI, ML, and DLT – could be used by financial services firms in the very near future, as well as in two or three years time. For example, AI and ML could potentially solve real operational challenges in post-trade operations, while DLT could transform trade processing from end-to-end.
The dialogue around how these new technologies will be applied involves a range of stakeholders – from regulators and industry bodies, to the financial services firms and tech companies themselves. This paper provides insight into those dialogues, including links to important documents.
The paper also discusses the ways in which SmartStream has engaged – and is continuing to engage – with these new technologies to deliver enhanced solutions to its clients.
Download the whitepaper to find out more about:
- What do the terms “artificial intelligence,” “machine learning,” and “distributed ledger technology” actually mean?
- How can AI and ML be used to solve challenges around post-trade operations?
- What kinds of challenges could distributed ledger technology solve?
- What do the regulators think of these new technologies and how financial services firms want to use them?