About a-team Marketing Services

Data Management Insight AI, Data Science & Analytics The latest content from across the platform

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…

Data Management Summit NYC 2026 Ready to Examine Rapidly Transforming Industry

Final preparations are being made for A-Team Group’s 16th annual Data Management Summit NYC, which will bring leaders and experts from around the world to take a deep dive into the drivers, themes and trends that are shaping the data industry for financial institutions. Over a full day of keynote addresses and expert panel discussions,…

Finbourne Puts Even More Humans in the Loop to Build Client Confidence and Business

In an age when many firms are handing over ever more functions to artificial intelligence, Finbourne Technology is going all-out with investment in human engineers to take the company’s investment management data and technology capabilities to its customers. Finbourne has launched the Forward Deployment Engineering (FDE) programme in which it created a team of 30…

Mid-Tier Banks Benefiting from Integrated Data Overlay as Tech Demands Deepen, White Paper States

Integrated data overlays are offering mid-tier banks the opportunity to transform their data infrastructures without having to undergo disruptive and potentially expensive replacement projects. By creating a dynamic enterprise-wide data layer, organisations are able to knit together their data, no matter how fragmented, in real time and deliver a single source of truth for business…

The Integrated Data Overlay Approach to Solving Banks’ Data Challenges

Banks are under intense pressure from a variety of quickly evolving trends. Clients want more from them; market volatility is challenging their trading strategies; and regulator scrutiny is deepening. In response, regional banks and large banking organizations (LBOs) are offering more products to clients and promising ever-more automated access to a greater array of asset…

Daloopa Opens its AI Excel Agent Scout to General Use

Daloopa has made its artificial intelligence-powered financial modelling agent, Scout, generally available to clients. Scout enables analysts to build and update financial models directly in Excel using plain-language commands. Models created by the software draw from a structured database containing financial records for more than 6,000 global public companies. Thomas Li, Chief Executive at Daloopa,…

New CEO Appointed at Hexaware

Hexaware Technologies has appointed Vivek Jetley as CEO Designate to assume the CEO role at the IT services company on October 28. Jetley worked at EXL for 20 years, serving as partner at Inductis before its 2006 acquisition and holding leadership roles including president of analytics, insurance, healthcare and life sciences businesses. Jetley replaces outgoing…

SimCorp New Appointments Charged with Advancing Portfolio Management Platform

SimCorp has named Gareth Morris as Head of Portfolio Management and Trading, charged with leading development of the company’s SimCorp One’s portfolio management and trading capabilities. Morris, who previously worked on BlackRock’s Aladdin business for 16 years, will be joined by Kate Ryan, who was appointed Head of Product Design to drive the design system…

Rush to Build AI into Risk Models Creating Dangerous Capability ‘Gaps’

Asset managers may be exposing themselves to operational vulnerabilities as they rapidly integrate artificial intelligence and agents into their risk management systems, often without first ensuring trust in the data that will feed the models. A survey found that three-quarters of 178 senior investment leaders questioned said they expect the pace of AI and agents…

Data Quality Meaning and Importance Transformed by AI: DMS NYC Preview

The data management space has been transformed by artificial intelligence into one that not only seeks to prise maximum value from institutions’ data but also spends almost as much resource ensuring the quality of that information. Without optimised data, the AI and agentic tools to which it is deployed will churn out sub-optimal results. It’s…