Category: Topic

PDFs have rapidly become a preferred format for sharing and distributing information, favored for their readability. However, the lack of a standardized data structure can present challenges for data extraction. An effective solution to this challenge is PDF parsing, which…

A shift from manual to digital processing in the insurance sector, especially for handling unstructured data, is defining the industry’s future. Digital transformation is a key for insurers to efficiently manage the increasing volumes of complex data. McKinsey & Company…

Zero ETL is a data integration technique where data is transferred from source to destination without the need for a traditional ETL (Extract, Transform, Load) process. Zero–ETL simplifies data accessibility by enabling seamless querying across disparate data sources without necessitating…

IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given…

The global data extraction market is predicted to reach a value of $4.90 billion by 2027, boasting a significant CAGR of 11.8%. This growth is largely due to the crucial role played by Form Processing, a technology that has emerged…