Content Analytics for 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.

With major changes in the volume and variety of content that businesses have to create and manage, intelligent content analytics (ICA) goes beyond enterprise content management (ECM) to enable actionable insights using modern artificial intelligence (AI) technologies. Content analytics can help enterprises gain maximum visibility, pinpoint underutilized data sources, and grow revenue faster with less risk.

We advise our clients on how to get started with ICA by identifying critical content analytics use cases.


What is content analytics?

An exclusive Visual Research clip that accompanies our research note, Conquer GDPR with Policy and Technology: Intelligent Content Analytics to the Rescue.

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.


Complimentary Infographic

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

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Complimentary eBook

The Secret to Competitive Content: Intelligent Content Analytics

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The Aragon Research Tech Spectrum for Document and Contract Analytics, 2019

Document and contract analytics (DCA) is an impactful new business category that goes beyond content management to provide actionable insights via artificial intelligence technologies.

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The Top 3 Use Cases for Voice Analytics

Conversations are the core of every business. However, few organizations are able to leverage these conversations in their business. In this note, Associate Analyst Samra Anees explores the use cases for voice analytics tools that are already being leveraged today.

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Emerging Technologies: The Rise of Voice Analytics

The emerging analytics market addresses these challenges by enabling organizations to predict customer behavior using computer listening capabilities. Here we identify the market of voice analytics and how to best utilize it.

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Hot Vendors in Document Analytics, 2019

Document analytics allows enterprises to analyze documents and contracts to drive more insightful decision-making via predictive analytics. Aragon has selected three Hot Vendors who are making an impact in the market.

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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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Amazon re:Invent 2018: Throwing Down in Blockchain, Hybrid Cloud, Machine Learning, and Marketplaces

Several new SageMaker ML updates were announced at re:Invent, such as Textract, a document analytics capability, and Rekognition, an image and video analytics deep learning algorithm.

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Google Next in Four Words: Cloud, Content Analytics, G Suite, and Partners

In this blog, CEO Jim Lundy overviews key Google Next highlights. AutoML—Google's machine learning algorithm—updates heavily focused on content and a Chevron demo showcased the power of image analytics.

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