LSEG has formed a strategic partnership with data and AI company Databricks, which will see the firm deliver its data natively via Databricks’ open-source data sharing approach, Delta Sharing.
Emily Prince
The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk management and trading workflows.
The launch is expected to allow financial teams to speed up decisions and innovation, and address challenges such as keeping up with market changes and using slower and more costly batch-based data delivery.
Specifically, the collaboration will initially launch with LSEG’s divisions of Lipper Fund data and analytics and cross-asset analytics, including historical analytics, with extensive additional trusted data spanning pricing, reference data, models, fundamentals, estimates, economics and tick history set to follow at a later date.
“This partnership with Databricks marks an important step in bringing LSEG’s trusted data to where customers need it most,” said Emily Prince, group head of analytics and AI at LSEG.
“By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance.”
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Additionally, the datasets will be available on Databricks Marketplace through Delta Sharing to allow for the secure sharing of live data and AI assets across platforms.
“Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads,” said Stephen Orban, senior vice president, product ecosystem and partnerships at Databricks.
“Together, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEG’s data to automate tasks, analyse 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.”