LSEG and Databricks Partner to Bring AI-Ready Financial Data Natively to Databricks for Analytics, AI Apps and Agents USA - English India - English
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LONDON, Sept. 23, 2025 ~ London Stock Exchange Group (LSEG) and Databricks have joined forces in a strategic partnership to provide LSEG's top-notch data directly through Databricks' Delta Sharing platform. This collaboration will initially offer Lipper Fund Data & Analytics and Cross Asset Analytics, with plans to expand to include additional trusted data such as Pricing, Reference Data, Models, Fundamentals, Estimates, Economics and Tick History. This will greatly increase the availability of AI-ready data for customers.

The need for unified data in the financial industry has become increasingly apparent as teams struggle to keep up with rapidly changing markets. Outdated and slow batch-based data delivery methods have left financial services teams lagging behind the market. Analysts and data scientists spend more time integrating and organizing data rather than building models to respond to market conditions.

Through this partnership, Databricks and LSEG aim to unify financial data in order to power analytics, AI applications, and agents. This will help teams make smarter decisions, innovate faster, and maintain a competitive edge. All datasets will be easily accessible on Databricks Marketplace via Delta Sharing, an open-source approach that allows for secure sharing of live data and AI assets across platforms.

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One of the key components of this partnership is Agent Bricks, which empowers real-time financial AI. By using Agent Bricks on Databricks' platform, financial teams can combine raw tick history or reference data with their enterprise data to quickly launch production agents for investment analytics, risk management, and trading workflows. These agents come with built-in accuracy optimization, governance measures, and cost efficiency. For example, global banks can use Agent Bricks to combine transaction and client data with market and reference data in order to identify investment opportunities and portfolio risks in natural language. They can also run scenario forecasts, detect anomalous trading patterns, and automatically generate compliance reports in real-time.

Stephen Orban, Senior Vice President of Product Ecosystem & Partnerships at Databricks, stated that customers have a high demand for high-quality, AI-ready data to accelerate their analytics and AI workloads. He believes that this partnership with LSEG will allow financial institutions to quickly build AI agents that utilize LSEG's data to automate tasks, analyze trends, and provide real-time insights. By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in, making it easier to make informed decisions about investments, risk management, and trading in just a matter of days.

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Emily Prince, Group Head of Analytics & AI at LSEG, also expressed the importance of this partnership in bringing LSEG's trusted data directly to where customers need it most. By adding their industry-leading datasets to Databricks Marketplace, they are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance. This highlights their commitment to integrating with the platforms and workflows that clients use most in order to help them unlock value.

The partnership between Databricks and LSEG unlocks key use cases for financial institutions such as investment analytics, trade analytics, and risk management. These include powering market intelligence, backtesting and portfolio optimization for smarter investment strategies; enabling real-time market analysis, transaction cost analysis (TCA), predictive forecasting and algorithmic trading for enhanced intraday decision-making; and unifying market, credit and counterparty risk oversight through AI-driven surveillance, exposure monitoring and real-time compliance across the front-to-back office.

In conclusion, the collaboration between LSEG and Databricks will provide financial institutions with access to high-quality data through a secure platform. This will enable them to make faster decisions based on accurate information while also streamlining their workflows. The partnership highlights the importance of unified data in the financial industry and sets a precedent for future collaborations between leading companies in the field.

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