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Upcoming Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows
Date: 15 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at…
Recorded Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments
Available On-Demand 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 from private equity and credit, real assets, venture and hedge funds, as well as…
Adapting to an AI-Dominated World: Data Management Summit New York City Review
The 16th Data Management Summit New York City immersed delegates in a deep dive into the implications of artificial intelligence and associated agents as the technologies dominate discussions among data chiefs of the world’s financial institutions. In the opening Data Leaders Panel, The Evolving Data And Ai Operating Model – Synergy, Governance And Accountability, the…
Solidatus Updates AI to Give Agentic Boost to Workflow Speed and Scale
Data lineage and governance specialist Solidatus has expanded its AI capabilities in a new release that introduces enhanced AI Assistant functionality, bring-your-own-LLM support and new integrations designed to help organisations accelerate governance and data lineage workflows. In the summer, the company upgraded its service offerings with update 2026.3 the contains a set of capabilities that…
Google Just Put a Price on Old Enterprise Data
By Jerry Caviston, CEO, Archive360. In August, Google was selected as the successful bidder in a $10 million auction for enterprise data from Spirit Airlines. The proposed sale still requires court approval, but the bid has already delivered a useful signal. Historical data can retain value long after the process that created it has ended….
Generative and Agentic AI in Financial Markets: From Pilot to Platform
Financial markets are at an inflection point in their relationship with artificial intelligence. The question is no longer whether to invest, it is how quickly institutions can move from experimentation to operational deployment, and what separates the firms that are scaling from those still stuck in extended pilot phases. The gap is wider than most…
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…