As humans, we’ve been ‘searching and finding’ for millennia.  But as we all know, this basic human behavior has got progressively more complicated with the exponential growth of information that we have to sort.

A History of Searching

The word ‘search’ arrived in the English language in the mid-1300s (which makes one wonder if nothing was ever lost by an English speaker before that…) We know that the word derives from the Latin ‘circus’” meaning circle.

Despite this worrying word derivation, in the following centuries searches were generally sequential or random, i.e. check each item systematically until you found the one you wanted, or check items randomly until you got lucky.

Fast forward to the information era we find ourselves in today where computers, and more precisely ‘indexing’, allow for much smarter searches. A very simple example would be an alphabetical index. Furthermore, computers allow multiple indexes to be built over the same data.


The Internet Age

Then Google came into being. In 1996 Larry Page and Sergey Brin had an idea. In essence it was “Let’s index the whole internet, and rank it to show what is most popular!”.

Several decades later, we can find just about anything on the web. In fact, usually we find too many entries and are forced to continually refine the search terms to arrive at the desired information.

And now Findology…

Findology by Aspire Technologies takes that idea a step further: it gathers, sorts and indexes data for your business, restoring order to the chaos of vast, unstructured data set through the use of cutting-edge AI and machine learning technology.  It helps teams search, find and leverage the digital assets they need.

In the words of their operations director Mike Steyn, Findology “brings order to unstructured data with minimal human intervention and providing a unified enterprise search.” He continues, “By accessing various data sources, Findology makes currently unstructured data available in a structured way. It provides greater simplicity in navigating these data stores.  Findology uses AI clustering algorithms to determine which is information is of higher or lower value and pushes the crucial stuff to the top.”

Additionally, businesses typically have storerooms full of documentation, and Findology can include paper-based data has been scanned, tagged and indexed. This ensures continuity and security of the business’s information.

Increased demand for time-saving data search solutions is expected to be a key growth factor for the enterprise search market in 2021 – a market with a global size estimated at 3,7 billion US dollars in 2019. Responding to the needs of this growing market, Findology is an elegant and efficient example of the enterprise search solution software necessary for the efficient management of time and resources.

Consider Findology your hardest working employee.  One that needs no sleep or caffeine to crawl, index, extract and discover patterns in even the biggest data sets. Findology:  When AI meets human intellect