361. Transforming Post-Trade Operations with AI

In this episode, host Michael Marchuk speaks with Danya Dhiraj, a director at Citisoft, about the implementation of AI in post-trade operations. They discuss the current state of post-trade operations, the challenges of adopting AI, and the potential benefits it can bring to operational efficiency. Danya emphasizes the importance of trust in AI, the risks of not embracing technology, and the need for a hybrid model where AI and human intelligence coexist. The conversation also touches on regulatory changes and the impact of legacy systems on the adoption of new technologies. Here’s what we talked with Dhanya about: -Post-trade operations are still not optimized despite automation efforts. -AI's adoption in the industry is in a nascent stage. -Trust in AI is a significant barrier to adoption. -AI can help reduce operational errors and improve efficiency. -Legacy systems pose a challenge to the adoption of AI. -Regulatory compliance is becoming increasingly complex with AI. -Firms that do not adopt AI risk falling behind their competitors. -AI will become a necessity for operational efficiency. -Human intelligence remains indispensable in decision-making processes. -The future will see a coexistence of AI and human intelligence. Visit us on our socials: 🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU 🧑‍💻LinkedIn: https://okt.to/k8zIdp ✖️Twitter: https://okt.to/fHyd9G 🙋‍♀️Facebook: https://okt.to/Vyjfiz 📸Instagram: https://okt.to/5nYvIf 💭Blog: https://okt.to/QuGqVP 🤩Case studies: https://okt.to/ft1AMX To ensure that you never miss an episode of Transform NOW, be sure to subscribe!