A notable partnership has been established between a prominent financial market organization and Databricks, aimed at integrating various data sets through Delta Sharing. This collaboration will initially focus on Lipper Fund Data & Analytics and Cross Asset Analytics, incorporating extensive data that includes Pricing, Reference Data, Models like Starmine, and Historical Analytics, as well as additional data sources in the future. The goal is to enhance the availability of AI-ready data for use in investment analytics, risk management, and trading processes.
The alliance will allow businesses to unify their financial data, thereby enabling the development of analytics and AI applications. This integration is expected to benefit various operational aspects, from portfolio management to client reporting, allowing organizations to make well-informed decisions and foster innovation. Through Databricks Marketplace, all datasets will be accessible via Delta Sharing, which is designed to facilitate secure live data and AI asset sharing across different platforms.
Using Databricks Agent Bricks, financial teams can integrate their enterprise data with market data such as raw tick history or reference data. This will significantly reduce the time required to develop production agents for investment analytics and management. The agents feature built-in accuracy and governance, enhancing cost efficiency while streamlining workflows.
Databricks’ senior leadership stated that there is a strong demand for high-quality, AI-ready data from customers who are eager to expedite their analytics and AI initiatives. The collaboration aims to enable financial institutions to rapidly create AI agents that utilize the new data capabilities for automated processes and insights into market trends. The utilization of Delta Sharing simplifies the integration of live financial data, avoiding the complexities of traditional data pipelines and vendor lock-ins, thereby facilitating quicker decision-making concerning investments, risk, and trading.
The partnership represents a significant advancement in making trusted financial data readily accessible to clients, thereby allowing them to achieve enhanced intelligence, efficiency, and regulatory compliance. This initiative underscores the commitment to integrate with widely used platforms and workflows, helping clients extract greater value from their data resources.