About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Hundreds of Data Practitioners Join A-Team Data Management Summit

Subscribe to our newsletter

Last week’s A-Team Group Data Management Summit was a cracking event that discussed everything from creating value from data to navigating the changing regulatory landscape, improving data governance and quality, client onboarding, big data, data visualisation and more. Markets in Financial Instruments II (MiFID II) was also on the agenda, with panel sessions reviewing the regulation’s requirements and transparency obligations, and executives from the Derivatives Service Bureau (DSB) and the Global Legal Entity Identifier Foundation (GLEIF) providing updates on how ISINs will be issued and priced for OTC derivatives, and how the LEI will play its part in compliance.

Hundreds of data practitioners joined the summit to listen to keynotes from Hany Choueiri, head of data governance and strategy, EMEA, at State Street; Jean Panagamuwa, director of data analysis and data management at Capital One; and Peter Moss, CEO at the SmartStream Reference Data Utility. Delegates also took part in interactive panel sessions, audience polls, presentations and plenty of networking during breaks and a post-event drinks reception.

If you missed the event, you can catch up on the highlights in our review of the day, or join our next Data Management Summit in New York City on 4th April at Convene in the financial district.

Keynote speakers and presenters at the New York City summit include Inderpal Bhandari, global chief data officer (CDO) at IBM, who will discuss how to enable a cognitive enterprise; Michael Vapenik, data governance officer at American Express, who will talk about developing a data driven organisation; and Kurt Gilman, an independent consultant, who will review innovation in machine intelligence.

Panels packing a punch include harnessing data and creating value, the data management response to a volatile and uncertain regulatory landscape, data governance, lineage and quality to meet regulatory requirements, and an innovation session looking at how emerging technologies can be used for data quality and to gain greater insight into systems and markets. Throughout the summit, and during a closing drinks reception, there will be plenty of opportunities to network with peers, talk to speakers and review the event.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

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...