Data Management Insight Data Architecture & Ops The latest content from across the platform
Upcoming Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments
Date: 7th October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha…
Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation
Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities…
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…
From volatility to visibility: The fixed income intelligence shift
Fixed income markets are undergoing a fundamental structural shift, transforming how institutions price risk, govern data and make decisions at scale. The convergence of cloud-based delivery, AI-enabled analytics, expanding private credit markets and heightened regulatory scrutiny, is redefining what ‘confidence’ means in fixed income workflows. Access to third-party pricing and valuations alone is no longer…
12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks
Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned…
AI May Well be a Big Accelerator, But Let’s Not Forget the Destination
By Chris Livesey, chief executive of AutoRek. Across the financial services software landscape, vendors and end-user customers are chasing a new goal, in how fast they can AI-ify or agentify everything that moves to claim unique differentiation and plant a flag for their brand as a market leader. We’ve seen this cycle many times before, for example with internet, cloud…
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…
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…