Companies are working with far more media files these days across many formats and channels. Forbes reports that the rate of production is expected to increase by 4,300 percent by 2020. Many organizations are already struggling with the sheer amount of data they have available, so adding that much more on top of it creates a progressively more challenging environment. Artificial intelligence may have the solution to this business dilemma.
Google’s Cloud Video Intelligence
Google has a deep understanding of dealing with massive amounts of data, and they turned their resources on to the media management problem. The Cloud Video Intelligence API adds metadata to media files so they’re searchable and easier to work with.
This solution works by identifying “nouns” within the media files as well as the timestamp when they occur. Companies gain a better understanding of what’s in a particular file, with advanced search functionality that doesn’t require specialized knowledge in machine learning or other AI technology.
Over time, the collection gets filled out with highly relevant data points that create a robust sorting method that’s ideal for media companies. The working hours of processing media files and putting together metadata is reduced dramatically with this type of solution.
Machine Learning Solutions
Google isn’t the only company working on a solution to the dilemma that’s facing nearly every company that works extensively with media content. Video is a format that continues to gain more steam each year, so many forward-thinking companies are putting their resources on this problem.
Machine learning technologies are changing on a daily basis as the market starts on its path towards maturity. Some solutions perform tasks similar to Google’s API, while others create summaries of media files or use other sorting methods. The machine learning algorithms help them improve in effectiveness over time.
Natural language processing may also have a place in working with media files. While the early solutions take an overall approach to tagging and organizing the videos, future options may do everything from transcribing the media files to adding it to particular marketing campaigns.
Implementing Google’s Cloud Video Intelligence Solution
AI specialists are hard to come by, and companies are paying a premium for employees capable of future-proofing their businesses. As a result, many organizations find it difficult to implement these technologies. The time savings compared to manually sorting hundreds of terabytes of data is substantial.
Working with a trusted Google Cloud Platform Service partner and Google AI partner, such as Netkiller, allows companies to explore the competitive advantages offered by this API without increasing their recruitment budget. They can build a custom search app using the Google AI/ML technology and save news and media companies a lot of time and money.
The smart sorting process gives employees the opportunity to focus on tasks that require hands-on attention rather than repetitive duties that involve manually watching media footage for the bulk of their work day. For example, reporters can easily reference videos related to their current stories, or pull direct quotes from an interview.
Organizations not only benefit from automatically sorted media, but they also see improved employee engagement and productivity. Workers get to do what they’re hired for in their areas of interest. Too much administrative work can often frustrate people who don’t want to spend their time on so-called busy work. They’re free to pursue what they’re most passionate about.
Companies have to strategize ways to deal with a nearly overwhelming flow of media content. Video consumption is on an upward trend, so businesses need to put the right technology in place today so they’re ready to deal with the future.