LSEG and Databricks Partner to Deliver AI-Ready Financial Data

September 23, 2025
LSEG and Databricks have announced a strategic partnership to provide AI-ready financial data via Delta Sharing, enabling enhanced analytics and AI applications.

LSEG and Databricks have announced a strategic partnership to deliver LSEG's industry-leading data natively in Databricks via Delta Sharing, announced in a press release. The collaboration will initially include Lipper Fund Data & Analytics and Cross Asset Analytics, with plans to expand to additional datasets such as Pricing, Reference Data, and Tick History.

This partnership aims to empower financial institutions by enabling them to rapidly build and deploy AI agents for real-time investment analytics, risk management, and trading workflows. Using Databricks' Agent Bricks, financial teams can integrate LSEG's data with their enterprise data to create production agents in days, enhancing decision-making and operational efficiency.

All datasets will be accessible on the Databricks Marketplace through Delta Sharing, allowing secure and seamless data integration across platforms. This initiative is designed to help financial services teams overcome the challenges of outdated, batch-based data delivery, enabling them to stay competitive in dynamic markets.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Governing the Future: A Strategic Framework for AI Adoption in Financial Institutions

This whitepaper explores the transformative impact of artificial intelligence on the financial industry, focusing on the governance challenges and regulatory demands faced by banks. It provides a strategic framework for AI adoption, emphasizing the importance of a unified AI approach to streamline compliance and reduce operational costs. The document offers actionable insights and expert recommendations for banks with fewer than 2,000 employees to become leaders in compliant, customer-centric AI.

Read more