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 […]