Data Management Insight Blogs The latest content from across the platform
Overcoming Legacy Hurdles to Cloud Migrations: Webinar Review
Many financial institutions are still struggling to safely move their data into the cloud, hammered by a paucity of suitable technology and the prevalence of fragmented pipelines. Decades of piecemeal system development, critical business logic, order flows, risk models and market data feeds have created architectures that has left data isolated an disconnected. As well,…
Daloopa Harnesses Cutting-Edge Tech to Turbocharge Venerable Software
Financial data and automation specialist Daloopa has incorporated the latest artificial intelligence technology into tech from last century to accelerate the search from alpha among equity investors. The US-based startup has built Daloopa Scout, an agent that bolts onto researchers’ Excel software and builds investment models from scratch. Further, the agent is designed to work…
Deeploy Q&A: Keeping a Careful Eye on AI Agents and Models
Dutch governance for AI platform Deeploy works within highly regulated industries to ensure their agents and models are running on safe guard rails. Data Management Insight spoke to Maarten Stolk, Co-Founder and Chief Executive at Deeploy, about the company and why governance is so crucial in the AI age. Data Management Insight: When was Deeploy…
Why AI in EDM Needs an Audit Trail Before It Needs an Algorithm
By Devendra Bhudia, Chief Product Officer – EDM at Gresham. The use of artificial intelligence in financial data operations is moving quickly from experimentation into production. Firms are increasingly looking to AI to identify anomalies, compare vendor feeds, prioritise exceptions and resolve operational breaks. Data operations teams are under pressure to manage greater volumes, more…
With AI in Place, Now is the Time to Make it Pay: Data Management Summit New York City Review
Getting a return on the billions of dollars invested in artificial intelligence has become a defining theme of discussions over the past year and that was reflected in this year’s A-Team Group Data Management Summit New York City. With the technology’s honeymoon over, now is the time for payback; over a day of expert panel…
Dakota Q&A: From Fund Raiser to Private Market Data Specialist
Two decades since its formation, Dakota has transformed its business from raising capital to providing private market participants with data and tech services. It’s history is one of nimble adaptation and being able to divine the growing needs of a booming yet often opaque corner of the financial sector. Company President Rob Robertson spoke to…
MSCI’s First Street Acquisition to Fill Climate Risk Gap for Investors
Data, ratings and analytics giant MSCI is betting its latest acquisition will enable investors to close the gap between perceived climate risks to their physical assets and disclosures about the impacts that severe weather is actually having on them. First Street’s global data feeds use environmental, geospatial and satellite technology to detail the vulnerabilities of…
A-Team Group Announces Winners of the Data Management Insight Awards – USA 2026
A-Team Group today announced the winners of its annual Data Management Insight Awards – USA 2026, celebrating outstanding vendors, service providers, and consultancies delivering innovative data management solutions to North American capital markets. Now in its sixth year, the awards recognise both established market leaders and groundbreaking newcomers across more than 40 categories, including Best…
Data Opportunities Abound in Migration to the Cloud: Webinar Preview
The shift from on-premises data management to the cloud is a huge undertaking that requires an enormous amount of planning. The benefits, though, are potentially even greater; after all, why else would an organisation go through the process of lifting and shifting the most vital ingredient in their operational arsenal? The move to cloud-based services…
Semantic Frameworks Slow to Gain Traction Despite Criticality to Data Democratisation: Webinar Review
Semantic layers have become critical to financial institutions as they have expanded the use of artificial intelligence agents and widened staff access to them. The sophisticated interfaces give non-technical users the ability to guide agents to interact with their firms’ data and build efficient workflows. And yet, few organisations have really got their teeth into…