Discover Digital Data & Tech Trends for Scaling Business

Artificial intelligence is a replica of human intelligence. It is called artificial because its drivers are machines and software-man-made things. Typically, it starts by churning through the big data. Simply say, the big data is put into the funnel of software, wherein intelligence algorithms tap patterns or models.

Are you still depend on OCR for digitizing hard copies?

Tragically, data entry is a time-consuming exercise. You bend over backwards to extract and load zillions of data. But when it comes to quality, inaccuracies turn your life into a hell. It is already a tiresome job. Moreover, you have to deal with anomalies.

Data cleansing or cleaning refers to removing inaccurate and irrelevant data. Sometimes, it is also known as data scrubbing. As this term suggests, cleansing is all about removing inconsistent and invalid data. Primarily, this process targets typographical errors, null values or blanks and duplicates.

Image processing, here, means the processing PDFs or image files so that their data can be converted into digital. Certainly, it involves the data extraction procedure, which is a logically scripting based concept for programmers and data scientists. Once done successfully, the conversion takes place using technologies like optical character recognition (OCR).