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WEBINAR
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...
BLOG
The Case for Multimodal Macro: Toward a New Standard for Economic Measurement
Institutional investors still anchor macro trading decisions to government economic releases. But the data infrastructure behind those releases is eroding. For example, the US Bureau of Labor Statistics, which runs the surveys underpinning some of the most market-moving numbers in the world, has seen the response rate on its Job-openings and Labor Turnover (JOLTS survey)...
EVENT
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!
GUIDE
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...


