Texter Blue
Documents have been processed for a long time… manually! Thanks to the advancements in technology this task has become faster and automated. Nowadays, AI can automatically process various types of documents, in a much timelier manner and with less error than humans are able to.
We’ve wrote before about the advantages of using AI to automate data extraction. In this article, we’ll explore deeply into it.
Document data extraction is the process of extracting meaningful data from semi-structured and/or unstructured documents for later use or storage. When referring to the use of AI or Machine Learning to perform that task, it’s called Automated Document Data Extraction.
In today’s digital world, the ability to collect, analyse and process data is one of the most principal factors for any organization, due to the vital role that data plays in day-to-day company decisions. With that, the amount of data generated keeps increasing, and with it the challenges of processing such amounts of data.
The definition of data extraction is “the task of automatically extracting data from unstructured or semi-structured documents”. With the advancements in technology, this task gets more important with each passing day. But, if the data is unstructured, how can it be processed automatically?
Well, we know that data is responsible (in most part) for driving company’s businesses into success. Now, more than ever, enterprises must adopt business intelligence on their decision-making processes and use BI Tools and analytics platforms to leverage their results and performance.
Business Intelligence is evolving. Technologies like artificial intelligence, cloud storage and mobility are being merged with BI Tools, and this made us think… what’s in for business intelligence in the future? Well, let’s check it out!
Digital transformation is headline everywhere! In fact, in the last couple of years, we’ve been pushed forward to this new reality, driven by the “no contact” policy, mandatory because of the COVID pandemic. This expanded technology beyond, to remote working, to learning and even entertainment.
Now, the pandemic seems controlled (at least we hope so), but companies didn’t hold on their digital migration efforts. People has adapted, and a lot of us still work and study from home!