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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

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...

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How AI is Reshaping the Buy/Build Calculus for Capital Markets Technology

Artificial intelligence is changing the economics of technology development across capital markets, making it faster and cheaper for firms to build their own applications. But while AI is lowering the barriers to software development, it is also raising questions about long-term ownership costs, the pace of vendor innovation and where firms should focus their technology...

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Data Management Summit, New York City

Now in its 17th year, Data Management Summit (DMS) NYC returns in September 2027, to explore how to use data and AI to drive measurable business outcomes - reliably, repeatedly and at scale.

Alternative Data in Capital Markets Handbook 2026

Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...