Komprise Best Practices: Smart Data Workflows for AI

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?

bp_detectmitigatepii_resource_thumbnail_800x533In 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.

Watch on YouTube.

2. AI Data Ingestion: Powering Better AI ROI

bp_aiingestion_resource_thumbnail_800x533In 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.

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3. REGEX Keyword Scanner: Unstructured Data Search

In this demonstration, Ben introduces the Komprise Smart Data Workflow regular expression (regex) and keyword scanner and highlights the power of Deep Analytics queries and the ability to not only find unstructured data where it shouldn’t exist but also to take action (copy, confine, etc.).

Read the blog: Using Regex to Improve Data Search and Data Classification with Komprise

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4. Working with External Scanners

_______________________4. Powering Better AI Outcomes

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