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Home » LSEG collaborates with Databricks to apply AI to financial data for analysis, applications, and AI agents.
AI in Finance

LSEG collaborates with Databricks to apply AI to financial data for analysis, applications, and AI agents.

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Introducing the Strategic Partnership Between LSEG and Databricks

Today, LSEG and Databricks have announced a transformative partnership that will enable advanced LSEG data access through Databricks via Delta sharing. This collaboration will initially feature Lipper Fund data and cross-asset analytics, including historical insights and essential data regarding pricing, reference data, economic models, and more.

The Need for Unified Financial Data

In the fast-paced world of financial services, teams are often overwhelmed by slow and costly data delivery, which hampers their ability to keep up with dynamic market conditions. Analysts and data scientists frequently find themselves investing more time in data integration than in developing models needed for timely market responses. This collaboration between LSEG and Databricks will address these challenges by offering a unified data solution to empower analysis, applications, and AI-driven insights.

Maximizing Efficiency with LSEG and Databricks

The partnership aims to streamline the analysis process across various financial functions, including portfolio management and risk assessment. By leveraging unified data feeds, teams can enhance decision-making capabilities, foster innovation, and maintain a competitive edge. All available datasets will be easily accessible through Databricks Marketplace, thanks to Delta sharing—a secure open-source method for data and AI asset sharing across platforms.

Empowering Financial AI with Agent Bricks

With the integration of Databricks’ Agent Bricks, financial teams can rapidly deploy production-ready AI tools for investment analysis and risk management, achieving results in days rather than months. These tools are designed for integrated precision, governance, and profitability. For instance, global banks can combine customer transaction data with market and reference data to uncover investment opportunities, detect unusual trading activities, and generate compliance reports in real time.

Insights from Databricks Leadership

“Customers express an insatiable appetite for high-quality, AI-ready data to accelerate their analytical workflows,” said Stephen Orban, head of product ecosystem and partnerships at Databricks. “This partnership allows financial institutions to quickly develop AI agents utilizing LSEG data for tasks such as trend analysis, task automation, and real-time insights.”

Unlocking New Levels of Intelligence and Efficiency

As emphasized by Emily Prince, Group of Analysis and AI at LSEG, this partnership significantly enhances data accessibility for customers. “By integrating our advanced datasets into Databricks Marketplace, we empower financial institutions to achieve unprecedented levels of intelligence, efficiency, and compliance, thereby unlocking their full potential,” she said.

Key Use Cases of the LSEG and Databricks Partnership

  • Investment Analysis: Enabling market intelligence, backtesting, and portfolio optimization, facilitating smarter, AI-driven investment strategies.
  • Commercial Analytics: Activating real-time market analysis, transaction cost analysis (TCA), and algorithmic trading to enhance intraday decision-making.
  • Risk Management: Unifying and enhancing market, credit, and counterparty risk monitoring through AI-oriented surveillance and real-time compliance checks.
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Related Posts

The UK financial industry is increasingly focusing on skills in AI, data, and compliance for recruitment.

January 12, 2026

Broadridge Acquires Stake in DeepSee, a Utah-Based AI Startup Focusing on Automated Agents for Financial Services.

January 8, 2026

The impact of AI on financial trading and investment approaches.

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C3 AI Explores Sale Following CEO Exits and Other Speculations

January 12, 2026

The UK financial industry is increasingly focusing on skills in AI, data, and compliance for recruitment.

January 12, 2026

Fintech lender Kissht receives SEBI approval for over Rs 1,000 crore IPO; Vertex Ventures and others divest shares.

January 12, 2026
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