Despite the ongoing digital transformation, many organizations today still spend quite a bit of time manually processing information from countless documents. Because of the nature of digital files such as PDFs, images, spreadsheets and even multimedia such as video, various facts and figures have to be processed and entered by hand.
As a result, extracting relevant information remains problematic. It’s virtually impossible to scale this error-prone operation that also tends to be costly when all is said and done/reviewed.
To improve the effectiveness and efficiency, AI has been tasked to tackle these issues thanks to its ability to understand the semantics of content and automatically acquire knowledge. Through intelligent document processing (IDP), the process of data extraction automation from unstructured and semi-structured documents and conversion into structured and usable data, AI has tangibly amplified extracting data with high accuracy.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/11/17/the-future-of-ai-powered-document-processing/?sh=3c218129e426
As a result, extracting relevant information remains problematic. It’s virtually impossible to scale this error-prone operation that also tends to be costly when all is said and done/reviewed.
To improve the effectiveness and efficiency, AI has been tasked to tackle these issues thanks to its ability to understand the semantics of content and automatically acquire knowledge. Through intelligent document processing (IDP), the process of data extraction automation from unstructured and semi-structured documents and conversion into structured and usable data, AI has tangibly amplified extracting data with high accuracy.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/11/17/the-future-of-ai-powered-document-processing/?sh=3c218129e426
