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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...
The effectiveness of an AI agent ultimately depends on the quality, context and structure of the information it can access. For investment firms, that puts familiar challenges around data quality, provenance and integration firmly back on the agenda – while potentially changing what they expect from their data providers. “When you’re selling data, you’re not...
Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.
Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...