MANTA

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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Xinthesys Launches AIMOS to Automate Regulatory Requests from Trade Lifecycle Event Data

Trade and regulatory reporting specialist Xinthesys has launched AIMOS, an agentic artificial intelligence framework within its Agile Data Processing and Engineering Technology Platform (ADEPT) and the underlying event-based TradeStore repository. TradeStore is designed to be a single source of truth for event-level trade lifecycle data at scale, supporting sell-side firms processing hundreds of millions of...

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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.

AI in Capital Markets Handbook 2026

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...