Artificial Intelligence (AI) has changed the way we work in many ways. From Alexa and Siri to customer service chatbots, it’s slowly made its way into our daily lives. But data capture is among such AI innovations that has had an enormous impact.
Automated data capture technology increases workplace efficiency and decreases business costs, this is nothing new. But “Intelligent” capture takes it to the next level. It uses the power of AI and robotic process automation (RPA) to form a partnership that’s simply better together.
What if you could feed a batch of invoices into your scanner, then walk away to attend to another matter, allowing an attached computer to file and prepare the invoices? All you would then have to do yourself is address any exceptions. This is possible. Truly intelligent capture doesn’t need templates, precise definitions, keywords, taxonomies, or indexing to do the job right. You can count on it to extract the right information at the right time and makes sense of a wide variety of documents independently. And it can do this regardless of the format, size, language, or symbols involved.
How AI is Changing Data Capture:
Classification
Also known as document sorting, classification involves the software learning to recognize various types of documents after you give it a few examples and variations to follow. Similar to a human worker, the software can read through sample documents and intuitively understand differences and similarities, and act accordingly. The machine learning component also decreases the amount of rules that must apply. As a result, you get a high level of confidence in accurate document classification with very little human intervention required.
