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HomeNews & Current EventsLSEG and Databricks Partner to Deliver AI-Ready Financial Data...

LSEG and Databricks Partner to Deliver AI-Ready Financial Data for Advanced Analytics and AI Applications

TLDR: LSEG and Databricks have announced a strategic partnership to integrate LSEG’s comprehensive financial data directly into the Databricks platform. This collaboration, leveraging Delta Sharing and Databricks Agent Bricks, aims to provide financial institutions with AI-ready data for real-time analytics, AI applications, and agents, significantly accelerating investment analytics, risk management, and trading workflows.

LONDON – September 23, 2025 – The London Stock Exchange Group (LSEG) and Databricks today unveiled a significant strategic partnership designed to revolutionize how financial institutions access and utilize critical data. This collaboration will see LSEG’s industry-leading financial data delivered natively within the Databricks platform, making it readily available for advanced analytics, artificial intelligence (AI) applications, and sophisticated AI agents.

The partnership addresses a long-standing challenge in financial services: the reliance on outdated, batch-based data delivery systems that are often slow, costly, and manual. This traditional approach frequently leaves financial teams struggling to keep pace with dynamic markets, with analysts and data scientists spending excessive time on data wrangling rather than on building crucial models. By unifying financial data, LSEG and Databricks aim to empower enterprises to make smarter decisions, innovate faster, and maintain a competitive edge across various functions, from portfolio and risk management to forecasting and client reporting.

The initial phase of the partnership will launch with Lipper Fund Data & Analytics and Cross Asset Analytics, including Historical Analytics. Plans are already in place to expand this offering to include an extensive range of additional trusted data, such as Pricing, Reference Data, Models (including StarMine), Fundamentals, Estimates, Economics, and Tick History, thereby broadening the spectrum of AI-ready data accessible to financial institutions.

A cornerstone of this collaboration is the integration of Databricks Agent Bricks, which will enable financial teams to rapidly build and deploy governed AI agents. These agents can combine proprietary enterprise data with LSEG’s rich datasets to power real-time investment analytics, risk management, and trading workflows. This capability is expected to reduce the time-to-market for deploying AI agents from months to mere days, offering a significant advantage in a fast-moving industry.

All datasets will be discoverable and accessible on Databricks Marketplace via Delta Sharing, Databricks’ open-source approach for securely sharing live data and AI assets across different platforms. This streamlined access eliminates the need for complex data pipelines or concerns about vendor lock-in.

Emily Prince, Group Head of Analytics & AI at LSEG, commented on the partnership, stating, “This partnership with Databricks marks an important step in bringing LSEG’s trusted data to where customers need it most. By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance. It highlights our drive to integrate with the platforms and workflows clients use most, helping them unlock value.”

Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks, added, “Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads. Together, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEG’s data to automate tasks, analyze trends and provide real-time, actionable insights. By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in.”

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This strategic alliance is poised to accelerate the adoption of AI-driven strategies in finance, providing a simple, secure way for institutions to transition from raw data to smarter decisions about investments, risk, and trading in a significantly shorter timeframe.

Ananya Rao
Ananya Raohttps://blogs.edgentiq.com
Ananya Rao is a tech journalist with a passion for dissecting the fast-moving world of Generative AI. With a background in computer science and a sharp editorial eye, she connects the dots between policy, innovation, and business. Ananya excels in real-time reporting and specializes in uncovering how startups and enterprises in India are navigating the GenAI boom. She brings urgency and clarity to every breaking news piece she writes. You can reach her out at: [email protected]

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