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

Hany Choueiri Argues the Case for Information Standards

Subscribe to our newsletter
The biggest challenge to the fourth industrial revolution that will put artificial intelligence (AI), robotics and big data centre stage is a lack of widely agreed information standards caused by obsession with technology rather than information.

Hany Choueiri, head of data governance and strategy, EMEA, at State Street, discussed the need for capital markets to look beyond today, innovate and develop information standards that will provide complete information auditability during a keynote presentation at A-Team Group’s Data Management Summit in London last week.

He said: “People are too busy with regulation, they need to pause and think about the future. People spend 70% of their time thinking about today, 20% about tomorrow and 10% about the day after that. We need to study innovation and deliver data by design.”

Citing the first industrial revolution introducing mechanical steam machines, the second electrical power, the third computers and the fourth AI, robotics and big data, Choueiri forecast that the latest revolution will cause huge disruption at an increased pace. He suggested chief data officers (CDOs) will be joined by chief digital officers, data will be recognised as a critical asset and information standards will be needed, despite many financial firms viewing them as a threat rather than an opportunity.

Information standards could represent packages of information containing rich meta data for data sources, origins and transformations applied to the data. There would be restrictions on how the packages are used, with rules governing whether data can be used but not altered or repackaged if it is altered.

Choueiri said information standards need to be driven by industry convergence and are about 10 years away, but noted that they could cut down today’s data management challenges including the need to manage huge volumes of data, navigate different vendor tools and technology stacks, and discover unstructured data.

He concluded: “The first word represented by IT has been largely forgotten. We need cultural change. When information is designed correctly, technology becomes easy.”

If you missed A-Team’s London Data Management Summit, you can catch up on all that’s new in data management and listen to speakers including Inderpal Bhandari, global CDO at IBM; Peter Serenita, group CDO at HSBC; David Saul, senior vice president and chief scientist at State Street; and Michael Vapenik, data governance officer at American Express at our next Data Management Summit in New York City on 4th April 2017.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

Data Automator Xceptor Offers Platform Ready-Made for AI

Dan Reid is not surprised that Xceptor, the data automation giant he formed two decades ago, finds itself at the vanguard of a change in the way financial institutions regard and use documents. The rapid and accurate parsing of information from paper- and PDF-based reports has been made possible thanks to recent developments in artificial intelligence. The volume...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...