AI-infused intelligent process automation, like IDP, is so popular that McKinsey has set a new priority for business leaders in 2024: Finding untapped ways to outperform competitors tinkering with similar technologies.
The question is no longer if you use hyperautomation, but how you use it. While everyone is clamoring for a one-size-fits-all strategy, hyperproductivity is how automation leaders secure gains that other organizations aren’t getting.
What is intelligent document processing?
Intelligent Document Processing (IDP) is a branch of AI and computer vision tools that has been repurposed for the enterprise. Similar technologies are used every day. Semi-autonomous cars can tell the difference between fast food containers and K-rails. Our smartphones automatically sort photos of Aunt Jeanine and our best friend from middle school into separate albums. Our smartphones automatically sort photos of Aunt Jeanine and our best friend from college into separate albums.
Using optical character recognition (OCR) , IDP can numbers in cambodian extract information from the real world and help computers understand it. Download a mortgage application, and IDP can “read” its contents to extract information like first name, address, and Social Security number. It uses a set of digital eyes to sift through printed documents, photos, and scanned documents for important information—all without human intervention. IDP is the most efficient and intuitive alternative to robotic process automation (RPA).
Another technology, natural language processing (NLP) , gives IDP even more power than conventional scanning. You’ve seen it power the wheels of AI tools like ChatGPT and Google Gemini. IDP doesn’t just gather facts from documents, but can also understand their context.
Is this review positive or negative?
I've never seen a document formatted like this, but it has enough similarities to other agreements that I know it's a contract.
These are just a few examples of how IDP reasons with documents to help your team organize, search, and make sense of your data.
Can intelligent document processing boost hyperproductivity?
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