Best cognitive document processing
existing data and processes can take place.There are dozens of CMS options, hundreds of functions and applications, and limitless possibilities for customization. Don’t panic – and don’t assume that you need a comprehensive review or evaluation of every system on the market. collections management software Start with an in-house needs assessment before contacting vendors or looking into system
This worksheet includes nearly 500 descriptions of requirements that could be considered by an institution seeking to upgrade or acquire a CMS. The checklist is intended to help an institution define cognitive document processing requirements and then select the software that is best suited to its needs.
Simplifai’s Documentbot is a powerful tool that can process various documents from different sources such as email attachments, email uploads, and online folders. The Documentbot can classify documents, extract information, forward to stakeholders and keep back-end systems updated.
The Documentbot combines Natural Language Understanding (NLU) and Optical Character Recognition (OCR) to interpret both structured and unstructured information. Our Documentbot is a robust AI-solution for streamlining document handling, especially for businesses that spend multiple hours manually processing documents.
Our AI Cognitive Document Processing offering uses human like recognition, reasoning and learning to analyse structured and unstructured documents, including scanned and handwritten text using OCR/ICR, extract key phrases, define topics and more.With human assistance, our service can learn to auto-fill forms/online documents using extracts from digital documents and generate text/reports.
A leading salvage auto company needed help to automate the manual processing of paperwork involved in a cars title transfer. They also wanted to reduce human intervention in document processing to accurately and effortlessly classify the type of document and digitally extract relevant information from scanned documents
We deployed a cognitive document processing solution to effortlessly classify the documents and extract relevant information from scanned/digital documents. The volume of documents handled every year by the client is almost 10 Million and each transaction previously took several days. Using our deep technical expertise we built an AI/ML solution prototype that drastically reduced and automated this process.
During the project we created three POC’s and showcased of all three working business prototypes to ensure the client could have the right solution for their needs. We accelerated the process of title transfers, reduced operating cost and improved accuracy
The oil and gas industry is highly complex and churns out copious amounts of data from sensors and machines at every stage in their business value chain.Unstructured document formats and templates make it arduous for businesses to store, extract, and retrieve data on time. This causes time delays, process inefficiencies, and escalates costs. Organizations need the right information at the right time to increase operational efficiency and better document management
In the wake of COVID-19, the global oil and gas industry is reeling under pressure from demand supply imbalance. Large companies are cutting down Capex and operational expenditure to sustain operations. The need for operational efficiency is higher than ever.This post analyzes the role of machine learning (ML) solutions for document extraction in the oil and gas industry for better business operations.
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