Smart Data Workflows
Automate unstructured data discovery,
detect and take action on sensitive data and prepare data for AI.
Curate Unstructured Data for AI
Unstructured data lacks context and is spread across hybrid IT infrastructure, making it difficult to leverage for AI. Komprise Smart Data Workflows allow you to execute automated processes to discover, tag, segment and move the right data efficiently to AI pipelines. The Smart Data Workflow Manager offers a simple point-and-click UI wizard to search across on-premises, edge and cloud data storage silos to find the data you need, execute Komprise or external AI functions on a subset of data and tag the data with additional metadata. Prepare unstructured data for AI: Search and move only what you need, build custom AI data workflows, protect sensitive data and manage the lifecycle of unstructured data intelligently. Watch the chalk talk > >
Metadata Tagging for AI
Metadata enrichment through tagging transforms unstructured data into AI-ready assets. Apply tags manually or programmatically via APIs by adding key value chains that classify, describe and contextualize data, which allows precise data discovery and processing. Configure tagging workflows that leverage AI to inspect file contents and enrich metadata and then feed that data to other AI workflows. Unlike other tools, Komprise queries on tagged data perform just as quickly and efficiently as standard metadata searches. The ability to tag and search at this scale is essential when dealing with billions of files spread across hybrid and multi-cloud environments.
Visibility & Classification
Search, tag and index data across file, object and cloud data storage to build a comprehensive Global File Index.
Orchestration & Mobility
Systematically and continuously move data from multiple unstructured data storage silos to the right target location.
Deliver Greater AI Data Value
Efficiently find, enrich, move only the data you need for AI projects and optimize the AI data pipeline and information lifecycle across hybrid environments.
Smart Data Workflow Industry Use Cases
Smart Data Workflow Use Cases for IT Teams
Sensitive Data Management for AI Governance and Cybersecurity
AI data governance is a growing, complex requirement. Data storage teams need to know how to find and protect the most sensitive data—such as personally identifiable information (PII), IP, internal research data and more. Doing this is across massive volumes of unstructured data, which lives in silos across hybrid storage, is extremely difficult. And most of the tools that enterprise IT teams use don’t have effective, scalable capabilities for sensitive data detection or data mobility.
Learn more about Sensitive Data Management from Komprise > >