Deliver actionable data at speed and at scale
Managing expectations of artificial intelligence (AI) capabilities without addressing data proliferation and inaccessibility is the most immediate data leadership challenge. Data teams are struggling with siloed data, real-time data processing and data quality issues. Technical debt, tool sprawl and skills shortage further intensify these challenges.
Unify diverse data sources, power model training and enhance AI's contextual understanding and capabilities.
Match integration styles to meet SLAs on performance, cost, latency, availability, quality and security.
Ingest data from applications regardless of where data resides in the data fabric—on-premises, in the cloud or in a hybrid environment.
Create resilient, high performing and cost optimized data pipelines for your generative AI (gen AI) initiatives, real-time analytics, warehouse modernization and operational needs.