These Business Process Automation Insights below are curated from Accelirate’s Subject Matter Experts as well as from some of the leading Publications and other 3rd party Sources.
AI and Machine Learning
Optical Character Recognition (OCR) Technology has been around for a long time. It has mostly been a part of various enterprise grade document management and.
Robotic Process Automation (RPA) is a surface level automation software which can be used for applications to talk to each other. Application Programming Interface (API).
As Robotic Process Automation (RPA)/Artificial Intelligence (AI) technology continues to progress both in capability and scope, businesses are expanding their use beyond main frame/legacy/desktop/web applications.
Machine learning and Artificial Intelligence are rapidly moving from the realm of research to business and consumer application to power critical functions of businesses like.
Machine Learning and AI are very rapidly moving from the realm of research to business and consumer applications. It already powers many critical functions of large.
If companies and businesses want to ensure future success, it is imperative to accept and embrace the capabilities provided by robots. Artificial intelligence won't always.
A law firm that is already a pioneer of using business process improvement is implementing software robots to make their work more efficient. For example,.
AutomatingMortgageBreach Letters BACKGROUND: The client’s Default Management Function was broken into four separate business units: Pre-Foreclosure, Foreclosure, Bankruptcy, and Loss.
Predictive Modelingof Mortgage Refinancing. BACKGROUND: Every month the client considers a large group of people who have mortgages to potentially.
CASE STUDY– Electronic Default Reporting (FNMA) Complexity: High Fannie Mae provides incentives to loan servicers to provide accurate reporting for.
Accounts Receivable staff spends a considerable amount of time chasing payable invoices. An out of control or aging AR.
Data updates to systems can be cumbersome especially if there isn't a standard data structure and the system does.
Employee On-boarding requires various verifications and data entry into multiple systems. These include, employment and background verification, payroll, and.