40 ROUND TABLE Machine Learning
in cataloging and tagging footage or in applying different video processes that require time. In the media industry, saving time almost always means saving you or your clients money. ARASH PENDARI: One way to leverage machine learning is to automate more of the software tasks that usually would cost human resources to do manually. You can automate everything from tagging images, music or video with new information and data to overviewing automated tasks in the software pipeline. Currently, machine learning is very good at automation. If a small company is clever, it can use ML to improve a lot of its daily tasks. Let machines do the time-consuming menial things and allow employees to work on more creative tasks – until machines start taking over. I have seen some great examples of that as well.
FEED: HOW CAN SMALL COMPANIES OR THOSE WITH LIMITED RESOURCES LEVERAGE MACHINE LEARNING?
BEN DAVENPORT: Our answer to this is our Vidinet platform. Vidinet is a cloud- native media services platform open to any size of organisation or company. In this platform, companies can quickly spin up and build small proof of concepts to verify the expected functionality of workflows, including cognitive services, with no prior experience and with little or no expense. All organisations also need to consider legacy environments, and this especially applies to companies with limited resources looking at gradual or stepped migrations to new technologies. In this case, agents allow users to connect Vidinet to on-premises and private cloud environments and still get the benefit of on-demand AI and other media services. JON FINEGOLD: Each of the big three cloud providers – Google, Amazon and Microsoft – offer powerful AI and ML services. For smaller companies, leveraging cloud-based ML services
provides the ability to test and deploy quickly and only pay for what you use. The challenge right now is that the innovation curve is steep, and it’s too soon to bet on any one cloud provider, which is why we’re seeing M&E companies of all sizes looking to multicloud strategies. A multicloud approach is a safe bet right now given how fast things are moving, particularly with AI and ML. TONY JONES: Machine learning can help companies get through large-scale tasks quickly that might have previously required substantial manual effort. It can be especially helpful, for example,
IF A SMALL COMPANY IS CLEVER, IT CAN USE ML TO IMPROVE A LOT OF ITS DAILY TASKS
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