Live from TradingTech Summit 2025 in Canary Wharf, Toby Babb sits down with Monika Fernando, Head of Global FI Client Data Analytics & Head of FI eTrading Strategy EAP at TD Securities.
They dive into the real impact of AI in financial institutions—is it all hype, or are we seeing real value? Monika shares insights on AI adoption, workplace transformation, data strategies, and the future of virtual assistants in trading.
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The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...
For decades, the Order Management System (OMS) and the Execution Management System (EMS) occupied distinct roles within the trading process; the OMS handling the full order lifecycle, from creation to post-trade processing and compliance, and the EMS managing real-time order execution, routing, and optimisation across markets and venues. Today, a powerful convergence is reshaping this...
Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...