You cannot escape it, the media constantly projects the overarching theme of humanity being overpowered by technology – specifically artificial intelligence (AI). Between movies like 2001: A Space Odyssey and IRobot,  AI appears to have its own genre of film. The truth is it’s inevitable, technology continues to develop and humans continue to depend on it more frequently. Whether it’s relying on Google Home to set an alarm so you don’t miss an important meeting or having an AI receptionist for your company. 

Today I want to discuss how the relationship between fast file transferring and AI could impact your businesses’ workflow. Data is oxygen to AI, without files containing massive amounts of data, AI cannot function properly. In order to communicate, AI requires large files to be transferred to and from a location selected by the creator/company. You can think of these transfers as breathing – in and out through the lungs. The reason AI is becoming so prevalent is due to new solutions like FileCatalyst, paving the way for advancements of this nature.

When you analyze FileCatalyst’s solutions, it is clear that they were designed with the future in mind. Our solutions accelerate and optimize file transfers across global networks and are immune to packet loss and latency. This spring FileCatalyst will be launching Version 3.8 of FileCatalyst Direct and FileCatalyst Central. With this update, FileCatalyst Direct will have exciting new features and enhancements that can assist the growth of AI technology. With this launch, a new feature called N-File will allow you to easily migrate massive file sets consisting of millions of files and terabytes of data between storage endpoints, including cloud storage. 

Updates are great but what AI integrated companies really want to know is if the solution they are interested in is capable of sending files faster than methods such as FTP, HTTP or CIFS. For AI to survive it is imperative that their file transferring method has this speed ability. FileCatalyst was one of the first companies to provide this guarantee. 

Who does AI affect and how?

Some examples:

  • Broadcast Media
    • Customized recommendations across media platforms such as YouTube and Netflix
    • Production logging
  • Oil & Gas
    • Extraction methods through robotics 
  • Healthcare & Life Sciences
    • AI applications are analyzing relationships between prevention or treatment techniques and patient outcomes

Answering the question: Who powers who?

At the end of the day, AI is benefiting human productivity, especially now as many of us are working remotely. We want to encourage this growth and help enhance AI technology. With the rapid increase of data used to power AI, there should always be a need for businesses to improve and power file transferring technology (AI’s lifeline). There is no direct way to predict what direction AI will take in the future, but for now, the concept of  Robots taking over the world is nothing but a science fiction story.