Data Management Insight AI, Data Science & Analytics The latest content from across the platform
Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO
Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and…
Trading Up: Helping Our Youngsters Get What We Do
By Andrew Delaney, President, A-Team Group. We hear it time and time again – at our conferences, on our roundtables and from our advisory boards: our beloved financial data and technology industry is suffering from an acute skills shortage. Flip to the other side of the coin, and employers and parents alike fret about the…
From noise to knowledge: why financial AI needs trusted news
Decisions in financial markets are increasingly shaped by machines. Yet the information feeding those decisions is arriving in unprecedented volume, velocity and variety. As a result, the true differentiator is no longer access to more content, but access to news that is trusted, relevant and correct to the moment in time. With AI rapidly becoming…
Broker Licensing Agreements Under Scrutiny as AI Reshapes Buy-Side Data and Research Market
Traditional data and research purchase arrangements may be holding back the buy-side from using artificial intelligence to take full advantage of new sources of market and other information. Restrictions associated with broker and data licensing agreements were cited as the biggest barrier to adoption of direct data and research feeds by two-thirds of global asset…
3forge Seeks to Simplify the Complexity of Modern Data Management Demands
The high level of data and data product use-case customisation among financial institutions offers an insight into the challenges that technology teams face in managing their organisations’ data. Observability has become more difficult as each data user tailors their tech provisions to their own business needs and data provisioning must be similarly responsive at a…
ESMA’s Data Quality Report Signals a Higher Bar for Regulatory Reporting Data
By Michele Hillery, Managing Director, Head of Repository & Derivatives Services at The Depository Trust and Clearing Corporation (DTCC). Regulators across jurisdictions are leveraging trade reporting data as a supervisory resource, using it to monitor risk, assess market activity and inform policy and oversight decisions. As this use becomes more sophisticated, firms face an even…
Duco Agentic Maturity for Reconciliation Benchmark Offers AI Adoption Map
Financial services companies and institutions are moving in large numbers along the road to agentic artificial intelligence maturity of their reconciliation processes. But many are caught in the no-man’s land between pilot and production as they grapple with the realities of operationalising models and agents. An inability to adequately assess AI before implementation, difficulties in…
Quantifying the Business Value of Data Observability: Webinar Key Takeaways
Data observability tools help remediation processes keep quality in check and pipelines healthy as data flows at increasing volumes to end users. A-Team Group’s most recent webinar, The ROI of Data Trust: Quantifying the Business Value of Data Observability, examined the best practices, pain points and solutions for ensuring organisations derive the greatest value from…
When Silence is the Best Measure of Success: ROI of Data Trust Webinar Review
When data observability and remediation tools work, the only measure of success is silence – nothing happens, no data breaks, no anomalies, no dramas. It might seem hard to demonstrate the success of something when there is nothing to show, especially when the business is required to prove the value of the process to secure…
Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability
Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then…