Intelligent document understanding solutions
Combining search, analytics and AI technologies, we help unlock the full value within your unstructured data—text documents, images, voice, videos.
Unstructured data—document text, voice, images, videos—accounts for almost 80 percent of an enterprise’s data and holds untapped value when it comes to addressing challenges and seizing opportunities. Extracting insights from unstructured data has been difficult because it involves laborious data analytics processes. But intelligent document understanding is changing this.
Intelligent document understanding solutions combine search and analytics with Natural Language Processing (NLP) and Machine Learning (ML) to automatically extract relevant information from unstructured data. Businesses can then access critical insights in real-time, saving significant time and resources that would’ve been required to manually search through massive data. The benefits include:
Various industries and business functions are applying intelligent document understanding solutions to enhance productivity and customer engagement. Some examples include:
Reducing risks by automatically analyzing legal contracts for specific “red-flag” terms.
Analyzing and routing digitized mail to the right departments, eliminating manual effort.
Automating rote tasks like sifting through millions of resumes and automatically matching CVs to job postings.
Automatically cross-analyzing loans or mortgages with the borrowers’ profiles from multiple independent sources to deliver better customer experience.
Automatically identifying an article’s main theme and finding similar articles from other sources to help with content creation.
Automating appropriate action with documents in expensive on-premise storage, reducing storage costs and improving insight discovery.
We bring our extensive expertise and experience in search and unstructured data analytics to help clients design and implement powerful document understanding solutions that support business-critical use cases.
Acquiring text documents and other types of unstructured enterprise data from multiple business systems with secure connectors.
Using Accenture’s Aspire Content Processing technology for efficient processing and enrichment of document metadata.
Leveraging Accenture’s R&D initiative to help create and maintain scalable enterprise language models for user interaction and document understanding.
Designing and implementing powerful search and analytics dashboards for enhancing users’ insight discovery experience.
Our experts discuss the latest trends and best practices for using AI-powered search and analytics to unlock more insights and achieve greater outcomes.