DeepIQ adds industrial connectivity, data transformation, and engineering context to the Cloudera environment. It helps organizations connect operational, engineering, and enterprise systems and prepare contextualized information for Cloudera analytics and AI. Specific integration and deployment options depend on your architecture.

Cloudera provides the enterprise data and AI platform. DeepIQ adds specialized industrial capabilities for connecting historians, digitizing engineering drawings, resolving asset identities, and understanding operational relationships. Together, they make industrial data more meaningful and useful for analytics and AI.

Yes.

DeepIQ connects historical and real-time operational information, supports data cleansing and transformation, and preserves important asset and engineering context. This prepares industrial data for use in Cloudera analytics and AI workflows without requiring organizations to replace their existing historian infrastructure.

Yes.

Cloudera supports data and AI workloads across cloud and on-premises environments, while DeepIQ supports customer-controlled industrial architectures. Deployments can be designed around existing infrastructure, network segmentation, security requirements, and data residency needs.

DeepIQ provides engineering and operational context by connecting assets, equipment, P&IDs, maintenance records, and process relationships into a governed industrial knowledge graph. This context helps AI applications built on Cloudera retrieve more relevant information, interpret operational data, and produce more explainable results.