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New Funding as Feathery Expands Wealth and Insurance Data Management Platform
Feathery has secured US$30 million in funding to expand its artificial intelligence-powered data automation software for the insurance and wealth management industries. Feathery’s platform provides data management capabilities that enable clients to overcome the restrictions presented by fragmented tech stacks, which are common within the sectors. Erie Insurance Strategic Ventures provided capital alongside Index Ventures,…
There Is A Blind Spot In The Modern Data Stack That Will Kill The Buy-Side’s AI Ambitions
By Mihir Shah, adviser to FINBOURNE Technology. For a long time now, financial institutions have poured billions into building what has become known as the modern data stack. Data lakes, warehouses, ingestion pipelines and cloud platforms have all become the dominant blueprint for becoming a data-driven organisation. Yet the industry’s enthusiasm rests on a flawed…
GoldenSource Scout Launched to ‘Close Data Trust Gap’ Using AI
Data management provider GoldenSource has entered the next phase of its evolution with the launch of GoldenSource Scout, an AI platform for capital markets built on the firm’s Trusted Contextual Data Layer, which grounds enterprise AI in governed, canonical data. The launch marks a significant shift towards AI within the firm’s data management ecosystem. Swati…
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…