Intelligent Content Analytics
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.
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.
With advances in artificial intelligence, the new era of content is focused on automation, insight, and discovery. Intelligent content analytics allows enterprises to leverage unstructured content as a business asset and make faster, more informed decisions.
Content Analytics Research
Summary: This research note overviews the key trends impacting the content analytics market and discusses four emerging providers that are making a difference with their image and video ICA offerings. Read More >
Hot Vendors in Document and Contract Analytics, 2018
July 25, 2018
Summary: A business-critical use case, this research note discusses the key benefits of leveraging document and contract analytics and identifies four Hot Vendors in this market. Read More >
Summary: As the need to automate and manage all forms of content intensifies, new auxiliary markets such as content automation and content analytics are emerging or becoming part of a core ECM offering. Read More >
Summary: This research note discusses sentiment analysis, automated audio transcription, and other key applications for voice analytics and identifies three Hot Vendors. Read More >
Content Analytics Blogs
First Cut: 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 ICA. Read More >
Several new SageMaker machine learning updates were announced at re:Invent, such as Textract, a document analytics capability, and Rekognition, an image and video analytics deep learning algorithm. Read More >
Among recent unified communications and collaboration (UCC) market moves, Microsoft released several new productivity updates, including a content analytics-enhanced Smart Camera feature. Read More >
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. Read More >