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Data’s Evolution Continues From Cost to Core Asset: DMS New York City 2025 Preview

Modern Chief Data Officers are not only the guardians of financial institutions’ data estates, they are also the caretakers of their single-biggest asset. With every part of an organisation’s business now dependent on data, the custody of its digital information is every bit as critical to operations as the management of trading teams or even…

Juniper Square Seeks to Democratise Private Markets with Data

Juniper Square has, from a virtual standing start, become one of the fastest-growing providers of data and investor services to private-market participants. Earlier in the summer it received a US$130 million series D capital injection that underscored its prospects and valued the company within unicorn territory. That’s unsurprising for a company whose platform has, since…

EU Data Act + DORA: Cloud Exit & Portability for Financial Services

From 12 September 2025, the EU Data Act’s cloud switching regime starts to apply, turning “cloud exit strategy” for risk, compliance and tech leadership, into an audit ready operational control with specific notice periods, timelines, assistance duties and a phased ban on switching fees. The Data Act requires providers of “data processing services” (e.g., cloud…

FCA Multi-Firm Review on Off-Channel Communications: Implications and Next Steps

By Paul Cottee, Director, Regulatory Compliance, NICE Actimize. The UK’s financial regulator, the Financial Conduct Authority (FCA), recently published the results of its multi-firm review into off-channel communications within wholesale banking. Off-channel communications, in this context, refer to any professional communication that occurs outside of the firm’s approved channels, such as personal emails, instant messages,…

AI Personalization in Trading: Where We Are and Where We’re Heading

Ivan Kunyankin, Data Science Team Lead at Devexperts. AI may have started out its brokerage career in back-office, enhancing operational efficiency by providing human teams with actionable client insights, but it’s now being promoted to more sensitive client-facing roles. As AI tools continue to evolve and become normalized in more areas of daily life, financial…

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative…

ISDA Finds GenAI Highly Accurate in Contracts Process but Stresses Need for Good Data

The International Swaps and Derivatives Association (ISDA) has found that a range of generative artificial intelligence models can achieve a very high level of accuracy in extracting and standardising contract details into digital form. The findings suggest that AI can be deployed to reduce time and resources as well as risks when processing data within…

Modern Data Platforms Empower Critical Use Cases: Webinar Preview

No longer is it enough for financial institutions to be simply “on top” of their data management architecture. They need to be constantly looking for the next innovation to keep them ahead of the game in this fast-moving space. That’s why modern data management platforms are the focus of so many organisations at the moment….

Monaco Protocol Launches With Hybrid Architecture to Bring “Wall Street-Grade” Execution to DeFi

Monaco, a new decentralised trading protocol, has officially launched on the Sei blockchain, aiming to provide institutional-grade infrastructure for the burgeoning tokenised asset market, which is projected to reach $30 trillion by 2034. The protocol, incubated by Sei Labs and Monaco Research, introduces a hybrid trading model it claims can achieve “microsecond execution” on par…

Global Regulators Turn Up Heat on Exaggerated AI Claims

Supervisors on both sides of the Atlantic are no longer content with soft warnings about artificial intelligence (AI) hype. From the United States Securities and Exchange Commission (SEC) to the United Kingdom’s Advertising Standards Authority (ASA), the direction of travel is clear: say what you do, do what you say – and prove it. Regulators…