Upcoming Webinar: Agentic AI in Capital Markets: Rethinking Infrastructure, Control and Deployment

Date: 9 December 2026
Time: 10:00am ET / 3:00pm London / 4:00pm CET
Duration: 50 minutes

As financial institutions move from AI experimentation to production deployment, they face growing challenges around infrastructure, data security, governance and operational control.

AI agents are increasingly capable of supporting research, trading, risk management and other complex workflows. Integrating them into institutional environments raises questions about where models should run, how agents can securely access sensitive data and systems, and how firms can maintain control over autonomous processes.

Infrastructure choices are becoming more important, with firms weighing public cloud, private and on-premise deployments against requirements for GPU compute, performance, resilience and cost. Latency-sensitive applications may also benefit from running AI closer to market data and trading systems. And as agents take on more responsibility within trading workflows, institutions must establish appropriate safeguards around permissions, monitoring, auditability and human oversight.

This A-Team Group webinar will explore the practical challenges of deploying agentic AI in capital markets, examining the infrastructure, operational and commercial decisions involved in bringing these capabilities into production securely and at scale.

Key discussion topics will include:

• Data sovereignty, security and governance requirements for institutional AI.
• Public cloud, private cloud, on-premise and hybrid infrastructure choices.
• GPU compute, inference latency, scalability and operational resilience.
• Integrating AI agents with existing trading, research and risk systems.
• Managing agent permissions, autonomy, auditability and human oversight.
• The economics of AI deployment, including infrastructure costs and consumption-based pricing.

Who should attend?
CTOs, CIOs, heads of trading technology and infrastructure, AI and machine learning leaders, enterprise architects, quant technology teams, and professionals responsible for data governance, security and operational risk at banks, brokers, asset managers, hedge funds, exchanges and other financial institutions.

Speakers:

Moderator: Mike O’Hara Editor, TradingTech Insight

A-Team Group

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