Delight your customers
with generative AI and
machine learning
There are several common generative AI and machine learning use cases that help customers transform their business
Intelligent document processing
What it is:
Organizations typically have many documents, such as invoices, patient forms, loan applications, and contracts, that contain data, such as applicant names, entities (places or brands), or patient health history, that is essential to their business and requires processing. Intelligent document processing (IDP) applies ML models built using text processing algorithms to extract text from millions of documents, clarify the sentiment of or relationships between that data, and integrate a human step to validate, correct, or augment the ML results for accuracy and compliance. Additionally, with generative AI, users can easily summarize and extract key insights from all these documents.
How it’s used
IDP extracts data from digital documents to perform tasks like processing loan applications,
analyzing customer sentiment, determining patient treatments, or filtering out noncompliant
purchases from invoices,
The outcome:
ML-powered document processing results in higher accuracy of data and faster data processing.
It can also lead to higher customer satisfaction rates, providing more accurate information and
helping companies respond to requests faster and more appropriately.
IDP boosts employee productivity, allowing workers to spend more time on business-critical
tasks and less time wading through documents for insights and performing manual data entry. Automating document workflows reduces data extraction and analysis complexity, allowing
organizations to dedicate less budget and resources to these labor-intensive approaches.
