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.
Texter Blue was born by the merge of 2 companies, bringing together experience building machine learning and computer vision, AI and Alfresco….
Data is one of the most important aspects of any business. Almost every decision taken in a business is empowered by informed data analysis. By using data, precise decisions are made using trends and facts, not speculation, leading an optimized decision process.
Data enrichment is the process of combining data from internal sources with data from external sources. By doing this, the data already owned is enhanced and more informed decisions can be made.
You’ve probably heard about metadata many times before, but do you know what it is? Metadata summarizes basic information about data, making it easier to find, and to use particular instances of data. Some basic examples of document metadata are, date created, date modified, file size, etc. Other than documents, metadata is used in:
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…
We’ve written about the vast amounts of data that organizations collect and process daily. Now, we dive into Data Cleaning! An important matter if your organization wants to process and analyse high quality data.