Don’t Let 60% of Your Automation Ambitions Go Off the Rails—Stay on Track with Intelligent Automation
Unstructured data isn’t going away. For organizations struggling to achieve more mature levels of automation and eliminate bottlenecks and slowdowns, a key consideration should be implementing a solution that integrates RPA with artificial intelligence. This way, organizations can advance automaton initiatives from repetitive transactional use cases to more complex knowledge-based business processes – enhancing customer experiences and operational excellence.
As market pressures and customer expectations motivate organizations to work smarter and more efficiently, many are turning to robotic process automation (RPA) to increase efficiency, overcome the gaps of siloed systems and drive their digital transformation. There is certainly no shortage of RPA vendors to choose from. How can you differentiate between the different solutions on the market and find the right RPA solution for you?
Welcome to part four of our six-part series that takes you on a journey through the latest concepts in multichannel document capture and intelligent OCR. We’re focused on how AI has transformed what’s possible in making your documents and data work for you—and not against you.
There’s a saying in the OCR industry, “garbage in, garbage out”. In short, it is very challenging to get accurate OCR output from documents that even humans struggle to read. Thankfully, due to advancements in computer vision, there are now solutions for these challenges.
Recently, the U.S. Department of Justice (DOJ) released the 400+ page Mueller Report (140MB PDF document). If you are interested in the workings of the U.S. government, you may have downloaded it, expecting to be able to educate yourself. Unfortunately, your attempts at searching for specific topics with the trusty Control-F key sequence ended in utter frustration. You may have just given up and looked for a summary write up, but others may not have that luxury.