Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data
Date: 16 April 2026
Time: 9:00am ET / 2:00pm London / 3:00pm CET
Duration: 50 minutes
Unstructured data now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents.
While AI has created new opportunities to extract signal from this data, many firms are discovering that value is constrained not by models, but by data quality, architecture, governance, and integration into real trading and investment workflows.
This webinar examines how firms are moving beyond experimentation to deploy AI in a way that delivers measurable insight and decision advantage.
What attendees will learn:
- How buy-side and sell-side firms are applying AI to unstructured data today, and where real, repeatable value is emerging
- The data engineering, curation, and governance foundations required to make unstructured data usable at scale
- How firms are integrating AI-derived insight into front-office and investment workflows, rather than treating AI as a standalone capability
- Where firms are encountering limitations, risks, and false assumptions when operationalising AI on unstructured data
This webinar is designed for senior professionals across the buy side, sell side, and market infrastructure providers, including heads of data, technology, quantitative research, trading, and investment strategy, as well as product and architecture leaders responsible for data platforms, analytics, and AI adoption.
Speakers:
Moderator: Andrew Delaney
President and Chief Content Officer
A-Team Group
More about our speakers:
Nicole Allen
Director of Product
LSEG
Nicole Allen is director of text analytics at LSEG. Nicole has almost two decades of fintech experience aligning content and product efforts to meet the needs of end users. Her experience ranges from the development of pioneering innovative financial applications leveraging text and AI to building predictive algorithms.
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