• Which tools actually improve efficiency in legal, regulatory, investment ops, proposal review, or research?
• How can you stay flexible and nimble, since the AI vendor landscape changes rapidly?
• Balancing innovation with cybersecurity risks — the more tools you integrate, the higher the potential risk. Developing an AI policy
that's flexible yet secure is essential.
• Operationalizing AI across trade processing, reconciliation, data analytics, compliance, reporting, automation, and workflows will
become increasingly complex - How can AI help with reconciliations, data cleansing, trade matching, or anomaly detection?
• The economics of AI in investment operations - Cloud costs, compute, and commercial viability for different firm sizes
• Designing a scalable, compliant, tech stack for AI - Managing costs and integration challenges, especially with enterprise AI setups
on platforms like AWS