NiCE announced a strategic collaboration with Snowflake, the AI Data Cloud company, to unlock the full value of customer interaction data by enabling seamless, secure data sharing across the front, middle and back office through Snowflake Secure Data Sharing. This collaboration combines NiCE CXone Mpower’s AI for customer service automation with Snowflake’s easy, connected, and trusted platform, enabling joint customers to seamlessly access and update data to automate customer service at scale. By working with Snowflake, the two companies will be able to deliver immediate value for customers and unlock new opportunities across the enterprise landscape. NiCE selected Snowflake for its ability to power secure, governed data collaboration and its shared commitment to eliminating operational silos. As a core component of every CXone Mpower bundle, Snowflake provides the foundation for the CXone Mpower data lake, centralizing all interaction data from across the platform and enabling that data to be merged with associated data beyond the front office. This extends the depth and breadth of CXone Mpower, enabling customers to leverage reporting, dashboarding, analytics and AI, from a single, trusted and ecosystem-wide source of truth. By expanding the reach of CX data into middle and back-office systems, organizations will be able to automate processes such as service fulfillment, billing, claims handling, and account updates, dramatically improving speed, accuracy, and efficiency. Customers can leverage CXone Mpower’s built-in integration with Snowflake to securely share and activate customer interaction data across their enterprise, either as part of their current CXone Mpower bundle or through expanded enterprise automation initiatives. With CXone Mpower analyzing hundreds of customer attributes per interaction, Snowflake provides the secure, scalable foundation to store, share, and activate this rich data across the enterprise. This collaboration empowers enterprises to operationalize interaction data at scale, integrate it seamlessly into enterprise ecosystems, and accelerate the development of AI-driven CX innovations.