If it seems like everything is happening in the cloud these days – it’s not your imagination. Organizations of all sizes are recognizing the many advantages of cloud computing for business. Aberdeen research found from 2017 to 2018, “on premise” ERP dropped from 21% to 12%, and SaaS increased from 21% to 36%. And according to Gartner, 40% of new ERP deployments for large businesses will be cloud SaaS by 2021.
While robotic process automation (RPA) is at the heart of many digital transformation efforts, it’s all too common for organizations to roll out their software robots in a piecemeal manner. For example, a company’s accounting department deploys a robot to automate invoice processing, while operations rolls out another to expedite shipping requests, without coordination between the departments. This decentralized approach presents a risk – one that leads to problems later.
If you’ve ever applied for a mortgage, credit card or even a new savings account, you know how paper-intensive the process can be. Photo ID, tax returns, insurance forms and statements take a long time to compile and an even longer time to be processed by the financial institution. These initial and information-intensive interactions are vital early experiences that set the tone for what should be a long-lasting and mutually beneficial relationship between the customer and the financial institution.
Purchasing an RPA solution is like the Christmas present you can’t wait to open. The thought of automating tasks and processes is an exciting one and you can’t wait to get started. You might only use one robot from your RPA solution, choosing a specific test case to show ROI to management. With your test case completed and management asking how we roll this out enterprise-wide, here comes the challenge.
New use cases for Optical Character Recognition (OCR) technology continues to materialize. Veterans of the OCR and document capture industry that we speak with are gobsmacked when we share how this well-established technology is being used in new and innovative ways. A recent example involves the use of computer vision in the online gaming industry.
Chances are good that you, or someone you know, has been a victim of fraud. In 2018, the U.S. Federal Trade Commission processed 1.4 million fraud reports totaling $1.48 billion in losses. Credit card fraud was most prevalent in identity theft cases — more than 167,000 people reported a fraudulent credit card account was opened with their information.