Intelligent Content Analytics

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Content AI and Intelligent Content

Enterprises of all sizes have to deal with unstructured data and content from documents, video conferencing feeds, voice channels, and information from IoT-connected devices. Content AI (formerly Intelligent Content Analytics) is all about the ability to understand existing content and at the same time create new content.

While the AI that supports the understanding of documents, voice recordings, images and video has been evolving over the last ten years, now with Generative AI, it is faster and easier to find content, summarize it and generate new content. Content AI can leverage enterprise content management (ECM) to enable actionable insights using modern artificial intelligence (AI) technologies. Content AI can help enterprises gain maximum visibility, pinpoint underutilized data sources, and grow revenue faster with less risk.

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Real-Time Content Insights

By leveraging intelligent content analytics, enterprises are able to tap into dark data and layer in predictive and prescriptive analytics to determine the next best action related to that content.

Contracts and text documents—analyzed through natural language understanding technology (NLU)—are the largest short-term opportunity in the enterprise for ensuring compliance and identifying revenue opportunities. In addition to document analytics, image, video, and voice analytics can powerfully enhance processes for finance, legal, sales, marketing, and more.

The bottom line is that the need for insights from the growing volume of content represents an opportunity: enterprises that gain insights will be able to act faster.

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Recent Research

Content Analytics in the Age of Understanding

This Research Note reviews emerging capabilities in the field of content analytics and provides advice about what content understanding will mean for the enterprise today.

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The Aragon Research Technology Arc for Intelligent Digital Content, 2023

Aragon Research introduces its 2023 Technology Arc for Intelligent Digital Content. This second edition features 25 technology profiles that are divided among emerging, adopting, and mature arcs representing adoption maturity.

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To view all of our research on computer vision visit our Intelligent Content Analytics Index >

Research Exclusive to Foresight Clients

Worldwide Content Analytics 2020-2026 Forecast

How will the content analytics market evolve?

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Related Content

The Importance of Intelligent Content Analytics: A new era focused on insight and discovery

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The Secret to Competitive Content: Intelligent Content Analytics

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Recent Blogs

DocuSign Dives Into Content Analytics with Seal Software Acquisition

On the heels of its SpringCM acquisition, DocuSign announced on February 27th, 2020 it was buying content analytics provider Seal Software. The two companies already have a history; DocuSign partnered with Seal 2 years ago. But today’s deal is a full buyout. This blog analyzes key aspects of the deal.

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Google Introduces Video Search

Google announced via a blog post that it is introducing the ability to search for key moments in videos. The need to add structure to previously dark data is rising and providers like Google are responding with capabilities like video search.

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Dropbox Buys HelloSign; Moves Beyond Cloud Content Management Into DTM

With more content moving to digital transaction management (DTM), the content management market is shifting to provide workflow and content automation (WCA) capabilities, as well as Intelligent Content Analytics (ICA).

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Bose, Five9, Microsoft, and Pexip Make Moves in Unified Communications and Collaboration

This blog explores that among recent unified communications and collaboration (UCC) market moves, Microsoft released several new productivity updates, including a content analytics-enhanced Smart Camera feature.

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