Ascent RegTech

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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There Is A Blind Spot In The Modern Data Stack That Will Kill The Buy-Side’s AI Ambitions

By Mihir Shah, adviser to FINBOURNE Technology. For a long time now, financial institutions have poured billions into building what has become known as the modern data stack. Data lakes, warehouses, ingestion pipelines and cloud platforms have all become the dominant blueprint for becoming a data-driven organisation. Yet the industry’s enthusiasm rests on a flawed...

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AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...