White Paper - CFO's Introduction to AI - Machine Learning - Updated!
Artificial Intelligence (AI) and Machine Learning (ML) are terms we hear a lot in tech and industry press and can be thrown around without context or background. The PR hype accompanying AI/ML should appropriately trigger skepticism among CFOs in terms of business value the technology can generate. Where is the line between hype and reality? To start asking the right questions, it is helpful to understand some key concepts. * This white paper has been updated with new examples and clarity on how machine learning models learn and get updated.
Reducing Credit Card Reconciliation Time While Increasing Match Accuracy Through Intelligent Automation
Credit/Debit cards now account for over 75% of consumer transactions but traditional methods of reconciling the steps in the process haven’t evolved nearly as fast - until now. Traditional tools like Excel driven matching or rules based reconciliation can help in lower volume, simple matching but credit card reconciliation - with it’s raw volume and many different systems in the processing flow - creates unique reconciliation problems that need a new approach. This article describes the process and opportunities for efficiency improvement through intelligent automation.
The Role of Robotic Process Automation and Machine Learning in Account Reconciliation Process Improvement
New tools, technologies and approaches can help F&A teams reduce their manual work, improve the speed and accuracy of their close process and enable staff to work on higher value, more interesting work. Dedicating time to understanding the account reconciliation process at a deeper level, creating alignment around strategy and generating momentum with small wins can roll into big wins over time and strengthen the organization.
Automating Bank Reconciliations Through RPA & Machine Learning
For many companies, automating bank reconciliations with Intelligent Automation presents the biggest opportunity for saving time during the financial close process. This post discusses how Robotic Process Automation (RPA) and Machine Learning (ML) can dramatically improve efficiency in this reconciliation process and save your team hundreds of hours of manual processing time.