LSEG and Databricks have teamed up to bring LSEG’s vast financial datasets directly into Databricks, making them instantly accessible for AI-driven investment analytics, risk management, and trading workflows. The partnership launches with Lipper Fund Data & Analytics and Cross Asset Analytics, with additional datasets—Pricing, Reference Data, Models (Starmine), Fundamentals, Estimates, Economics, and Tick History—coming soon.
By leveraging Delta Sharing, Databricks’ open-source technology for secure, real-time data sharing, financial organizations can now integrate LSEG’s trusted data seamlessly into their enterprise workflows, dramatically reducing the time and cost of building AI-powered models.
Solving the Financial Data Bottleneck
Financial institutions have long struggled with slow, batch-based data pipelines that leave analysts and data scientists spending more time wrangling data than generating actionable insights. The LSEG + Databricks integration tackles this head-on, enabling teams to unify enterprise and market data for real-time intelligence.
Stephen Orban, SVP of Product Ecosystem & Partnerships at Databricks, said, “By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in, going from raw data to smarter investment, risk, and trading decisions in just days.”
Agent Bricks: Real-Time AI for Finance
A key feature of this partnership is Databricks Agent Bricks, which allows financial teams to launch production-grade AI agents within days rather than months. By combining tick history, reference data, and enterprise data, these agents provide:
- Investment analytics: Backtesting, portfolio optimization, and AI-driven market intelligence.
- Trade analytics: Intraday analysis, predictive forecasting, transaction cost analysis (TCA), and algorithmic trading insights.
- Risk management: Real-time credit, market, and counterparty risk monitoring, AI-driven compliance reporting, and exposure oversight.
Agent Bricks comes with auto-optimized accuracy, governance, and cost efficiency, allowing banks and asset managers to detect trading anomalies, run scenario forecasts, and auto-generate compliance reports in real time.
Emily Prince, Group Head of Analytics & AI at LSEG, added, “Adding our datasets to Databricks Marketplace empowers financial institutions to unlock new levels of intelligence, efficiency, and compliance. This integration puts LSEG data where customers need it most—within the platforms they already use.”
Implications for Financial Services
The collaboration highlights a broader industry trend: real-time, AI-driven analytics are no longer optional—they’re becoming essential for competitive financial services. By combining LSEG’s market-leading datasets with Databricks’ AI and cloud capabilities, financial institutions can accelerate decision-making, improve risk oversight, and gain a measurable edge in trading and investment strategies.
This partnership positions LSEG and Databricks as key enablers of the AI-first financial enterprise, making it easier for banks, asset managers, and hedge funds to deploy intelligent, real-time applications directly into existing workflows.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
