If you’re a fan of Downton Abbey, you know that the most favored servants are those who have come to know their employers’ needs and preferences so well that steps are proactively taken to ensure that members of the Grantham family are never in need of anything. Just as they begin getting hungry, a meal is being served. There’s no need to ever ask.

Fast-forward one hundred years later and we’re used to something quite the opposite: when we’re in need of something we must ask. We’re constantly asking the Internet, to the tune of several billion Google searches every day, and we’re constantly searching our computers, mobile devices and corporate networks for the files we need. 

Just like a butler that remembers what you like for breakfast, there’s a new class of technology – predictive analysis – that logs your behavior in order to understand the content that you’re most likely to find valuable and directs you to it. You’re probably already familiar with Amazon.com or iTunes recommendations. Once a purchase has been made, the predictive analysis engine uses algorithms to locate other items or songs you may not know exist, but that you may like.

But predictive analysis technology is just once piece of the puzzle; a butler isn’t very useful if all he does is suggest a breakfast you might like and he doesn’t actually make and bring it to you. So there’s still the delivering, or “pushing”, of content. Email is good example of pushing content: you don’t search for new email; it’s just automatically delivered to your inbox and mobile devices.

The developers at Huddle got thinking about predictive technology and how it might help distributed workforces that tend to silo data. Workers around the world tend to create data on a number of different devices and store the data in places that are inaccessible to the entire corporation (i.e., their computer, mobile device, shared drive, etc.) In addition to creating a security, backup and disaster recovery nightmare for IT, it’s practically impossible for workers to find what they need when files are decentralized and disorganized, causing the entire organization to be inefficient.

So Huddle began building something totally new to make sure enterprise workers always have all the files they need. We created Huddle Sync – the world’s first intelligent file sync platform. For the first time, the latest version of workers’ important files (intelligently chosen for them by Huddle Sync’s patent-pending recommendation engine from across the entire corporate data store) are automatically and securely ‘pushed’ to workers’ desktop and mobile devices. Now, they can work anywhere, any time, even offline.

Huddle Sync’s recommendation engine works uniquely for each user and will consider who the user is, their permissions, the files they access and how often, with whom they collaborate and how frequently they access their shared files, and more in order to measure relevance. All relevant files are then automatically delivered to Huddle-enabled devices so that the user never has to manually locate and download them. And, like a good butler, as time goes on, Huddle Sync’s engine learns from the user’s workflow and becomes more accurate at delivering the most important content.

So, for example, if you’re working on a cancer research project and there is research data spread across your organization that would be useful to you, Huddle Sync locates relevant files that you may not even know existed and delivers them to you, if you have the appropriate permissions. Thousands or millions of files from across the organization are de-siloed and suddenly at your fingertips at all times, no matter where they are or what device you’re using – but you don’t have to sift through files to find what you need because Huddle Sync does it for you.

So while it’s no longer amazing that we have lots of information at our fingertips, the potential value we can unlock in all of that information IS amazing, especially if the most relevant information to us is made easily and instantly available. In the future, we won’t waste time searching for files because that part has already been done for us, leaving us with more time to consume content and derive value from information.

What are your thoughts about the future of search and predictive analysis?

Andy McLoughlin

Co-founder


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