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Buy & Build: Don’t Hire Picasso to Paint Your Living Room
On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with Paul Humphrey, CEO and Elliot Banks, CPO of BMLL to discuss how historical market data is reshaping trading technology. From the shift from build vs buy to build on trust, to why…
Watching the Future: The Top 10 Surveillance and Compliance Challenges in Prediction Markets
By Joe Schifano, Global Head of Regulatory Affairs, Eventus. Prediction markets are quickly becoming the next frontier of finance – a new class of markets where people trade on what they believe will happen next. From election results to interest rate fluctuations, these platforms turn collective judgment into tradable data. But as prediction markets move…
AI Emerges as Key Focus for the Buy-Side, Says SIX
Three years ago when Swiss financial data and market infrastructure provider SIX launched its first report together with Crisil Coalition Greenwich on the state of play within the buy-side, the subject of artificial intelligence barely made an appearance. Fast-forward to 2025, and AI dominates the latest report. AI is being deployed within a growing number…
DiffusionData Targets Agentic AI in Finance with New MCP Server
Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data…
A-Team Group, a Division of Finelight Group, Announces Acquisition of Eagle Alpha’s Events Business
Finelight Group is delighted to announce that its subsidiary, A-Team Group, has successfully completed the acquisition of the events division of Eagle Alpha, a leading provider of alternative data solutions for the investment community. This strategic acquisition enhances A-Team Group’s position as a leading organiser of specialist conferences serving the financial technology and data industry….
LSEG and Anthropic Partner to Embed Financial Data into AI Workflows
The London Stock Exchange Group (LSEG) has announced a significant collaboration with artificial intelligence firm Anthropic, aimed at embedding its vast reserves of financial data directly into Anthropic’s new “Claude for Financial Services” offering. The move marks a key development in LSEG’s AI strategy, dubbed “LSEG Everywhere,” which focuses on making its trusted, licensed data…
BMLL Set for “Supercharged” Growth Following Nordic Capital Acquisition
Nordic Capital has announced its acquisition of BMLL, the Level 3 historical market data and analytics provider. The investment, made in partnership with BMLL’s management team and minority shareholder Optiver, is set to accelerate the company’s growth and expand its global footprint. While the financial terms of the deal have not been officially disclosed, industry…
Past, Present, and Future of AI and Machine Learning in Trading and Investment Management
On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with David Marcos, Founder and Managing Partner at Quantoro Technologies, to explore how AI agents are redefining trading, portfolio management, and the investor experience. From simplifying complex investment strategies to the rise of…
SOLVE Acquires MBS Source to Bolster Structured Products Offering
SOLVE, provider of pre-trade data and predictive pricing for fixed income markets, has acquired MBS Source, the data and trading solutions provider for the mortgage- and asset-backed securities (MBS/ABS) market. The acquisition, announced on October 16, 2025, aims to enhance SOLVE’s capabilities in the structured products space by integrating MBS Source’s specialised data and analytics…
13 Leading AI-Based Data Management Capability Providers
Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management…