In this best practice series, we focus on strategies and use cases for Komprise Smart Data Workflows. Hear practical tips and guidance from from Komprise Field CTO Benjamin Henry, who has years of experience working with some of the largest global enterprise organizations
1. What are Komprise Smart Data Workflows?
In this first Komprise Smart Data Workflows best practice series, Komprise Field CTO Benjamin Henry and VP of Marketing Darren Cunningham discuss how to filter, find and contain PII data with Komprise.
Learn more about the sensitive data management use case here.
Read the Smart Data Workflows solution brief
2. AI Data Ingestion: Powering Better AI ROI
In this brief overview and demonstration, Ben reviews a use case for the new Intelligent AI Ingest feature of Smart Data Workflows. Filter and find relevant data with Deep Analytics and use that query in an AI data ingestion workflow to automate delivery of the right unstructured data to AI services.
Read the blog: Deliver the Right Data to AI with Komprise Intelligent AI Ingest
3. REGEX Keyword Scanner: Unstructured Data Search
4. KAPPA Data Services: A Serverless Approach to Metadata Enrichment
Komprise AI Preparation & Process Automation (KAPPA) data services is currently available for early access. AI needs high-quality unstructured data which requires rich metadata extraction. The challenge enterprises face is that the metadata for unstructured data is often contextual and specific to their enterprise, their industry and their security constraints. With KAPPA, IT can rapidly deliver custom data services, such as industry-specific metadata enrichment, without having to provision or manage the infrastructure to process the operation across large datasets.
Read the blog: KAPPA: A Serverless Approach to Metadata Enrichment and Unstructured Data Management
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