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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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Breaking Conway’s Law: Why Composable Trading Platforms Demand Organisational Change, Not Just Better APIs
Nearly 60 years ago, Melvin Conway observed that an organisation’s technology will inevitably mirror its internal structure. It’s a law that has aged uncomfortably well in capital markets, where billions spent on trading, risk and analytics systems have produced vertical stacks that reflect business-line org charts rather than the horizontal data flows firms now need...
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Data Management Summit New York City
Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.
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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...



