IBM DataOps
Organize your data to be trusted and business-ready for your Journey to AI
Organize your data to be trusted and business-ready for your Journey to AI
DataOps is the orchestration of people, processes, and technology to deliver trusted, business-ready data to data citizens, operations, and applications throughout the data lifecycle. With properly governed data, businesses can comply with complex regulations, data privacy and ensure artificial intelligence (AI) model accuracy by monitoring data quality.
Organizations can deploy market-leading DataOps capabilities with IBM Cloud Pak® for Data, a containerized cloud-native platform built on Red Hat® OpenShift®. Solutions include multicloud data integration, automated data cataloging and master data management that increase efficiency, data quality, findability and governing rules in order to provide a self-service data pipeline.
Read “How DataOps can accelerate your journey to AI” ebook to learn more about the critical role of DataOps in your organization.
Discover DataOps solutions that can monetize your data and deliver up to 87% savings in development costs with automated design.
How to organize your data and make it more trusted and secure
Breaking down information barriers with IBM Master Data Management
Learn more about IBM DataOps
Learn how IBM DataOps builds a scalable and agile data-driven culture through automation, data quality and governance.
Fast delivery of trusted data pipelines to people, applications and analytics helps you to adapt more quickly to changing market conditions.
Schedule a one-on-one consultation with experts who have worked with thousands of clients to build winning data, analytics and AI strategies.