In part 2 of our 3-part article on Document classification we’ll delve into the several types of document classification. If you didn’t read the first part, you can check it out here!
Tag: Artificial Intelligence
Your organization, just like many other, probably possesses increasingly big amounts of data. But are you processing it correctly and putting it to good use?
If your organization processes many documents daily, manually classifying them is a time-consuming process, which also creates room for inconsistencies and errors. Are you related with this case? Well, the best solution would no doubt be Automated document classification.
In this 3-part article, we will explore the ins and outs of document classification. We hope this article help explain what document classification is all about. Check It out and stay tuned for part 2…
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.
A load balancer is a type of software or hardware device that prevents a server from becoming overloaded. A load balancing algorithm is the logic used by the load balancer to distribute network traffic between multiple servers. But how many types of load balancing algorithms there are, and does each algorithm work? Well, let’s see…
Federated search is the ability to perform searches across multiple databases, websites and other data sources and access all the results in one place. You can read more about it, in our previous article here and about its specific advantages here.
It’s true that this is a subject that we talk often, mostly because its importance! Today, we will continue discuss this matter, and give you important insights about how Artificial Intelligence act as a key component of Federated Search…
When processing diverse types of documents, it’s important to have a way to classify them in their respective types. By having everything properly classified, you can improve your workflow, by directing the specific documents to the right team-members for process, or for your AI to extract data.
There are two methods of document classification: of course, Manual classification; and Automated classification (powered by AI).
Even though smaller organizations are used to employ the manual process, which isn’t done without fail. It’s a time-consuming process and very prone to human error.
So, to optimize the entire process, automated classification with AI is the best option to take. And how can you do that? Well, let’s see…