Take a look at the highlights from our recent Data Management Summit in London.
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For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
By Sarva Srinivasan, head of global strategy and managing director at NeoXam, Americas. In most financial institutions, reconciliation has traditionally lived quietly in the background. It is often viewed as a necessary control process that ensures transactions, positions and balances match across systems and counterparties. Important, yes, but rarely considered fundamental to the business. But...
Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...