It has been an inverse relationship till now. The more the content, the harder it is to manage it.
However, with artificial intelligence and machine learning, it is, perhaps, possible to tackle the content management problem head on.
It is ironic, considering the fact that Content Management Systems were created to solve the enterprise content organization problem that we used to face earlier.
Why is the change needed?
With the massive increase in the volume of data, the management of it via traditional methods becomes cumbersome and often faulty.
AI and machine learning tend to give their best performance when their algorithms are handling massive amounts of data. This is being touted as the possible solution.
This method may, in fact, change the way we manage content from now on.
The burden of ever-expanding data
The impact of AI on content management, believes Box CEO Aaron Levie, will be far greater than what cloud computing had almost a decade ago.
He points out that there's been an exponential increase in the amount of data that's being created and shared by organizations. The logical ways to make sense and extract value out of this data are machine learning and AI.
Where does AI fit in?
Aaron points out that "there is simply no other way to keep up with the growth of data, as well as the use cases around this content."
His firm, Box, recently went into a partnership with Google to deploy AI into cloud content management. It has also brokered a partnership with Microsoft and will probably tap into its Azure AI and machine learning algorithms.
Making sense of the chaos
The idea is to look and make sense out of the unstructured data in an intelligent way.
Recently, M-Files, a hybrid content management solution, acquired Apprento, which uses natural language processing and natural language understanding to devise the semantics and concepts within content and communication streams.
It basically turns a farrago of data into understandable content by providing intelligent summaries and contextual insights.
Streamlining bulky data
This technology will become a widespread practice when it comes to handling future content. Instead of just storing, managing and archiving data like its predecessors, it will generate value.
We've never been much adept in handling a large amount of data while AI and machine learning thrive on them. Therefore, the smart move is to let them do the grunt work and maximize productivity.