Core Insights - EXL has launched EXLdata.ai, a suite of data solutions aimed at making enterprise data usable for AI and accelerating AI integration into workflows [1][4] - The partnership with Databricks enhances the capabilities of EXLdata.ai, allowing enterprises to utilize Databricks Agent Bricks for optimizing AI on enterprise data [1][6] Data Challenges and Solutions - A significant challenge for organizations is the availability of AI-ready data, with only 30% of organizations reporting enterprise-wide data access, leading to data silos that hinder decision-making and AI deployment [2][5] - EXLdata.ai addresses these challenges by providing an AI-native solution that connects structured and unstructured data, ensuring usability through AI-driven tools and pre-built accelerators [3][4] Benefits of EXLdata.ai - The solution aims to reduce costs, improve implementation speed from months to weeks, and enhance accuracy by breaking down data silos and improving data visibility [4][5] - EXLdata.ai features a multi-agent architecture that autonomously manages various data lifecycle processes, delivering faster outcomes with production-grade reliability [4][5] Integration and Market Position - EXLdata.ai is built with an open architecture, allowing seamless integration with existing client systems and enhancing current investments rather than replacing them [6] - The collaboration with Databricks positions EXL to address a significant market gap in making data AI-ready, providing clients with tools to enrich data sources and improve model accuracy [7][8]
EXL unveils EXLdata.ai with launch partner Databricks: First-of-its-kind agentic AI-native suite of data solutions to solve enterprises’ biggest challenge in making data ready for AI