How is AI shaping the future of post-trade operations?
Citisoft Director Dhanya Dhiraj joined SS&C Blue Prism’s TransformNOW podcast to share her insights on the evolving role of artificial intelligence in post-trade processes.
From automation gaps to regulatory hurdles, Dhanya discusses the challenges and opportunities AI presents for post-trade operations. She highlights the need for a hybrid approach, where AI enhances efficiency while human expertise ensures strategic decision-making.
Key discussion points:
- Despite ongoing automation efforts, inefficiencies in post-trade operations persist.
- AI adoption in asset management is still in its early stages, with trust being a key hurdle.
- When implemented effectively, AI can reduce errors and enhance operational efficiency.
- Legacy systems pose significant challenges for AI integration.
- As regulatory compliance grows more complex, AI-driven processes could help ease the burden. This is especially applicable in cases like the move to T+1.
- Firms that delay AI adoption risk falling behind competitors as in the future, AI is likely to become a crucial tool for maintaining operational efficiency.
- Yet human intelligence remains indispensable for strategic decision-making.