Komprise Smart Data Workflows for AI
Discover, classify, curate, ingest the right data to boost AI ROI.
NewYork-Presbyterian Achieves 96% Savings and 10x Faster AI Data Ingestion with Komprise
Healthcare IT infrastructure team reduces cloud costs, automates AI workflows and delivers the right information to digital pathology teams at the right time with Komprise.
Cut Unstructured Data Noise for AI
Experience a Global Metadatabase service across all silos with intelligent classification, search and ingest to feed the right data to AI.
Filter Unwanted Noise with Data Classification and Curation
Classify, identify, and deliver high quality unstructured data to AI.
- Automate data classification into a managed Global Metadatabase
- Filter to identify and cull out noise – eliminate duplicates, old, irrelevant, non-authoritative and sensitive information
- Flexible search and query engine powers repeatable workflows
Built-in PII and Sensitive Data Detection and Remediation
Find and remediate, move, and exclude sensitive data depending on the use case.
- PII and custom PII identification including regex and keyword search
- Sensitive data tagging
- Policy-based remediation and handling of sensitive data
Ready to get started with Smart Data Workflows?
Speeds the curation of the right unstructured data across disparate storage silos for AI.
Intelligent AI Ingest
Filter and automate ingesting the right data to any AI service with built-in governance.
- Automate AI ingestion with intuitive workflow editor
- Filter out noisy, poor-quality data to improve AI accuracy by over 50%
- Detect and handle sensitive data (e.g. exclude it) based on your AI use case
Enrich Metadata with Serverless Compute and Tags
Serverless compute service that automates running any code on a curated set of files to scan, prepare and add metadata tags.
- Extract header metadata, custom metadata using built-in and custom code
- Global policy-based tags that stay intact no matter where the data moves
- Built-in auditing for data governance
Dig Deeper
Demos
Smart Data Workflow Best Practices
Enterprise IT organizations are upgrading their data environments with more efficient storage solutions and are accelerating data…
Video
Data on the Move
As enterprise IT organizations evolve to faster, flash-based NAS and cloud storage, migrating unstructured data into these environments…
White Paper
The Komprise Data Experience
In this first unstructured data migration best practice video Benjamin Henry, Field CTO @ Komprise, reviews planning your…
Frequently Asked Questions
What are Komprise Smart Data Workflows?
Automate unstructured data discovery, classification, tagging, and zero-move ingestion to AI pipelines, fueling better insights, lower costs, and faster outcomes. What makes Komprise unique is that you have a global view and orchestration of all your data across silos, even as data moves or infrastructure changes.
How does Komprise classify unstructured data?
Komprise automatically discovers and classifies all your unstructured data indexed into a Global Metadatabase. Komprise provides built-in scanners to extend this with header metadata, multi-modal metadata, sensitivity tags, and provides an extensible approach to integrating any custom function to tag data. Komprise Deep Analytics provides a powerful search interface to find just the right data for AI.
Read the solution brief: Komprise Data Tagging for AI
How do Smart Data Workflows improve AI governance?
Komprise does not only maintain security and access control of your data, but it also keeps an audit log of all data movement. This ensures you have the audit trails of what data was fed to AI, when and by whom for data governance.
How do Smart Data Workflows power AI pipelines?
Whether you are trying to feed the right data to AI or you are using AI to process data and tag the results, you can setup any of these workflows in Komprise by finding the data you want using queries, then setting the AI destination, and defining the frequency at which you want Komprise to send new data. Komprise does the rest by automating the data curation, data copy for ingestion, metadata enrichment and data lifecycle management.
Watch the Data on the Move: Agentic AI and Data Prep
How does Komprise manage unstructured AI data lifecycles?
Komprise enables you to find the right data for each AI use case, to systematically either move or simply cache the data with AI depending on your security constraints, and then delete and manage the lifecycle of the data. Also, Komprise applies any tags to the Global Metadatabase so you continue to enrich the original data even when using a cached copy for AI.
Smart Data Workflow Best Practices
Ready to Deliver the Right Data to AI?
Schedule a call with our unstructured data management experts and we’ll review Komprise Smart Data Workflow use cases.
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