2021 Galleries
The Spark Gallery pages are one of our most popular design destinations, with thousands of visitors each year. Check out some of the latest Spark entries, in the galleries below.
Galleries // 2021 Spark:Digital // IBM Automation Document Processing
IBM Automation Document Processing
Finalist
Competition: Spark:Digital
Designer: Jason Puthusseril
Design Type: Apps, Programs & Software
Company / Organization / School: IBM
Team Members: Jason Puthusseril, Denise Bell, Isaiah Guzman, Gabby Staton, Charles Mitchell & Lisa Chen
Traditional document capture solutions cannot meet the document processing demands of today’s digital world. IBM Automation Document Processing (ADP) accelerates the processing of large volumes of unstructured data by putting the power of AI and automation in the hands of business users. IBM Automation Document Processing helps businesses eliminate manual document processing with digital labor. Users of any expertise can build and train AI and deep learning models through a guided, no-code experience. ADP can allow businesses to easily automate the processes of classifying documents and extracting information from them. ADP eliminates slow, error-prone manual work, saving time and improving data accuracy. This means businesses can respond quickly to new opportunities without adding staff, improve compliance transparency, power-up automated workflows with valuable data, and achieve faster ROI.
