Applying Emerging Technologies to Real-World Business Challenges in Financial Services


New technologies are set to change the way financial services around the world perform their most fundamental operations. Artificial intelligence (AI) / machine learning (ML), and distributed ledger technologies (DLT) are all being explored by the financial markets, with a view to transforming essential processes that underpin the entire industry. Regulators, central banks, and market infrastructures are now coming forward to endorse these new technologies – and use them as well. Over the next 10 to 15 years, the financial services ecosystem is set to change beyond all recognition.

This paper will explore the potential application of innovative technologies in financial services firms’ post-trade operations in three exciting areas:

  • Machine learning
  • Artificial Intelligence
  • Distributed ledger technology

The paper will examine what each of these three concepts mean, and current challenges they could be applied to. It will also explore what market participants are beginning to do with these technologies today.

  • Hidden

    Contact Information

  • Hidden

    Please stay connected in the following ways

  • This field is for validation purposes and should be left unchanged.
Relationships hold the key to successful managed services
Intraday Liquidity Management: The operational imperative to address market uncertainties
Challenges and Opportunities: Intraday Liquidity Management
Data rich but information poor:
Why it is critical for banks to deploy
AI-enabled technology
The importance of data validation for an effective regulatory control framework
Cost of doing business as usual or an avoidable drain on margin?