Every minute of every day, organizations are inundated with data in the form of emails, customer chats, phone calls, invoices, videos and other artifacts of the digital age. An estimated 97 zettabytes of data were generated in 2022, 23 percent more than the previous year. To add to the problem, the vast majority of this data is unstructured data; data that lacks metadata or any sort of identifiable structure.
In an effort to transform the vast amounts of unstructured data into tangible business insights and increase operational efficiency by automating manual processes, organizations are embracing the next generation of document processing technology, intelligent document processing (IDP).
In this in-depth report, we explore how organizations are leveraging AI techniques such as machine learning, computer vision and natural language processing (NLP) to to extract information from documents, convert it into machine-readable data and derive meaning from it much like a human would.
Download and discover:
- Why intelligent document processing (IDP) is essential to end-to-end automation, data-centricity and digital transformation
- How companies such as 3M, AECOM, Maersk and BD are leveraging IDP to increase the speed and effectiveness of document processing
- How to overcome common challenges such as change resistance and AI training to ensure IDP implementation success