Your organization’s most valuable insights are often hidden in plain sight and buried in contracts, client files, reports, and records scattered across file shares, inboxes, and legacy systems.

Automated Content Identification changes that.

Automated Content Identification is the process of Discovering Your Content that automatically tags and labels your documents at scale with a single prompt. It transforms unstructured, disconnected files into searchable and organized information without any manual intervention, that’s easy to find as well as fast and accurate to use. 

In this exclusive online event, our Product Experts, Darcy Manderson and Chris Landry will show you first-hand on how to extract the true value from your data with real-world use cases so that you find and organize your files at scale effortlessly.

👉Watch Darcy's video to get a quick peak at what we'll cover in the session.

🧠 Automatic Content Identification Explained

• What is Automatic Content Identification and how it works in plain language.

• How automatic content identification reads and understands documents at scale.

🤖 Shinydocs Automatic Content Identification in Action

• Real-world Use cases of automatically tagging and classifying millions of files across your file shares and data repositories for fast, accurate and organized content.
  
  
• Uncover clear actionable content insights from all your data—without any manual effort.

💬 Live Q&A

• Bring your questions and get real-time answers from our experts.

This session is for anyone responsible for managing, securing, or leveraging enterprise information, including:

• Business Leaders & Decision-Makers – Executives driving growth and efficiency.

• IT & Data Management Professionals – Overseeing systems, architecture, and search.

• CIOs, CTOs, CISOs & Heads of AI – Leading technology, security, and AI strategy.

• Data Governance, Compliance & Records Managers – Ensuring classification, compliance, and discoverability.

• Legal, Risk & Operations Leaders – Reducing exposure and improving workflows.

• Analytics & Knowledge Management Teams – Turning data into business value.