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As Finance Sector Workers Embrace AI, Study Warns ‘Be Careful What You Wish For’
The potential real-world impacts of hastily deployed artificial intelligence rollouts have been highlighted in new reports that underscore the need for better-quality data and greater literacy in the technology. Financial firms that don’t invest in creating greater workforce awareness of how AI tools can be used are at risk not only of failing to optimise…
CGS Focuses on Hard-Won Privates Expertise Amid Buzz of Startups
CUSIP Global Services is leveraging its history of servicing syndicated loans, asset-backed securities, options, derivatives and other complex asset classes as it expands into the growing private credit and alternatives space. The Norwalk, Connecticut-headquartered provider of issuer and asset identifiers is working closely with financial digital platform FactSet, the Loan Syndication and Trading Association (LSTA)…
Softwire QnA: Turning Great Ideas into Data Solutions for Institutions
UK-based Softwire offers its financial institution clients expertise in leveraging data to achieve their operational objectives. Data Management Insight spoke to Sean Judge, Softwire Client Director FS&I to find out more about the company. Data Management Insight: Hello Sean. Can you tell us when and how was Softwire created and how does it serve financial institutions? Sean Judge: Softwire…
Defensibility: The New Watchword for Data Management
George Tziahanas, VP of Compliance at Archive360. Regulated enterprises are discovering that the hardest part of scaling new technology such as AI isn’t adoption; it’s proving those technologies are properly controlled. For financial institutions in particular – including banks, asset managers, insurers, and capital markets firms – this challenge is intensified by long-standing regulatory expectations…
Oracle Agentic Platform Targets Banks, Financial Companies
Oracle has launched a new agentic platform for the banking and finance sector, featuring applications and pre-built artificial intelligence agents designed to automate customer engagement and business processes across digital and branch channels. The agents operate within an architecture that maintains human oversight for decision-making and ethical governance, the enterprise software and cloud services provider…
Cardo AI Q&A: Shining a Light on Private Markets
New York and Milan, Italy-headquartered Cardo AI seeks to bring transparency to private markets for investors, banks and funds. A-team Group’s Data Management Insight spoke to co-founder and chief executive Altin Kadareja about Cardo AI’s mission and operations. Data Management Insight: Hello Altin. When was Cardo AI created and how does it serve financial institutions?…
ace Seeks to Disrupt the Very Idea of ‘Digital’ for Financial Institutions
For more than a decade, financial institutions have been told to go digital. Data strategies have been written, platforms migrated to the cloud, and front-end experiences wrapped in slick apps. But for Niamh Kingsley, founder of ace, that conversation is already out of date. Her new firm, launched in November as a specialist post-digital advisory…
CFTC File Format Change to Impact Futures Data Management Teams
For futures commission merchants, clearing members, proprietary trading firms, and banks with material futures and options exposure, the transition of CFTC Part 17 Large Trader Reporting to FIX Markup Language (FIXML) is a test of data management maturity. This change directly affects firms responsible for aggregating, validating, and submitting large trader position data, often across…
Data Fabric vs. Data Mesh: 10 Companies Provisioning Modern Data Architectures for Enterprise AI
As institutions absorb ever greater volumes of data to meet their increasingly complex operational needs and those of regulators, they face a dilemma of how to store and distribute that critical information. Fragmented legacy systems have long been an impediment to the smooth management of data and now corralling multiple-cloud configurations can be added to…
Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’
Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The…