ZoomInfo uses Telmai to automate data quality at scale, over billions of data records and across multiple cloud sources

Core Insights - ZoomInfo partners with Telmai to enhance data quality monitoring across its data ecosystem, utilizing machine learning for proactive management and integration with open table formats [2][3][4] Group 1: Partnership and Technology - Telmai is an AI-powered data observability platform that will help ZoomInfo manage data integrity and quality at scale [2][7] - The integration aims to improve customer experience through full-volume data quality monitoring, automated anomaly detection, and streamlined remediation workflows [4][6] Group 2: Data Management and Operations - ZoomInfo processes over 1.5 billion data points daily for over 35,000 businesses, necessitating high accuracy and timely delivery to maintain customer trust [3] - The company’s data is distributed across various platforms, including Snowflake, BigQuery, S3, and GCS, which require effective monitoring solutions [4] Group 3: Implementation and Efficiency - Telmai's user-friendly interface allows for quick adoption by ZoomInfo's teams, reducing setup time from weeks or months to just minutes [5] - During the pilot phase, Telmai's anomaly detection identified issues among billions of data points, enabling rapid response and resolution [6]