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.
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…
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?
The environmental impact of human acts in the planet, and the impact of our technology is a subject that has been discussed a lot in the last years. Environmental problems, leading to climate changes is, in fact, a huge problem that we must produce solutions… and fast.
A study made back in 2019, from the Allen Institute for AI, argued for the prioritization of “Green AI” efforts that focus on the energy efficiency of AI systems. In this study we can read that “The computations required for deep learning research have been doubling every few months…” and that “These computations have a surprisingly large carbon footprint…”.