Graip.AI, ML and Data Science articles

Graip.AI has released a new version of our intelligent document processing platform, with several exciting new features designed to streamline your workflow and make document processing more efficient. From our New Generation Key Value Model to Annotation Tool, the latest release of…

Graip.AI is proud to announce the release of our new machine learning model, which offers best-in-class results for document processing. Our model focuses on classifying all document text as keys and values, allowing for easy extraction and…

Accounts receivable (AR) is considered one of the most significant functions of a business. When customers pay for their purchases on credit, the AR department is responsible for receiving, collecting, and controlling these payments. Without such critical payments,…

As businesses collect more and more data, it becomes increasingly important to accurately label that data in order to extract valuable insights. However, labeling data can be a time-consuming and tedious task. At Graip.AI, we are committed…

There are many things Excel automation can do for users to work with an Excel workbook better. For example, automate the process of filling in data from a big Excel file with around 6,000 records of complex…

In the field of Intelligent Document Processing (IDP), Machine Learning (ML) models are increasingly being used to automate the process of extracting key-value pairs from different types of documents. These ML models are built by training on…

Since the 2008 financial crisis, a lot of businesses have used lean management to increase cost-effectiveness, customer satisfaction, and staff engagement at the same time. Many programs have had a significant influence on all of these dimensions.…

Accounts payable (AP) are the most critical processes of business accounting. Accounts payable are amounts due to vendors or suppliers for goods or services received but have not yet been paid. Intelligent document processing (IDP) brings significant…

According to a study by Supply Chain Brain, 80% of the classic old processes in procurement can be eliminated with the help of automation. You can skip paper storage, Excel tracking, and other purchase order procedures.

The data entry process consists of entering relevant data in a digital system or ERP software after it has been extracted from various documents. It is the necessary part for business that helps to transform the data…