Create an engaging video using AI-powered techniques

Most people’s source of information has become videos, especially Millennials and GenZ. The videos are captivating, informative and entertaining. We believe that anyone using social media is your target audience. Who is the emotional connection is directly correlated to the video content they consume the most. Before the pandemic hit us, media experts predicted that 82% of all content would be . However, the pandemic has been a game-changer for everyone and accelerated the generation of video content. A Nielsen study commissioned by Google indicated that TV content will be replaced by OTT/video. These statistics have been proven true and are backed today by over 1 billion active Tik Tok users, 397 million Twitterati, 2.2 billion YouTube consumers and Facebook users.

Today, for most brands, their communication strategy is driven by video content, as people of all ages choose to consume information through videos. For example, Nike, which was famous for its Swoosh featured on all print media and billboards to foster recognition and recall at home, unveiled its footwear collection a few years ago on the streaming platform Twitch to increase awareness. The results were higher sales and a strong digital following for the brand.

The increased demand for video content has spawned the use of disruptive technology tools to ensure faster production, ease of use and lower costs, ensuring that the ultimate gold – greater viewer engagement – is reached. AI-enabled tools not only bring a breath of fresh air, but have also made the entire production process democratic without the need for specialized skills. Here are some of the technical benefits of using new technologies for video content.

Watch what you want with the – ‘Meta-Tag’

The media production and post-production work model has been overhauled with the adoption of AI and ML tools. The meta-tagging data enabled the creation of shorter video content in real time from a larger inventory of content, and allowed them to further optimize for the size and formats best suited to the platform (social media or OTT) of choice; that too without much human intervention. Cataloging content and tagging metadata through technology tools has reduced human error and created automated working models. Meta tags not only help with SEO optimization, but can also help to reach your TA faster, for example: someone looking for the best shots of Virat Kohli will get filtered and prioritized feeds based on tags added to videos published.

The era of everything personalized and personalized

Audiences are spoiled for choice with new content uploaded to social platforms every minute. It has also raised expectations and further fueled the demand for quality real-time content. AI-enabled tools provide real-time solutions, improved efficiency, reduced publishing times, and evaluation of video content from the perspective of viewer preferences. The AI-enabled tools have built-in supervised learning algorithms that offer personalized suggestions with rich metadata and voice input. This further translates into a quick turnaround and therefore helps to increase audience retention. For example: Netflix used AI to create and personalize trailers based on demographics to increase reach and subscribers.

Commitment with added value

In addition to improving the quality and process of producing videos, automated video editing has also created monetary benefits by creating new revenue opportunities from existing content. These scalable solutions enable better content production regardless of the budget and size of the organization, further ensuring minimal deviations in current workflows. The tools also allow businesses to seamlessly add sponsor messaging to their digital content, increasing revenue generation opportunities.

As Satya Nadella succinctly puts it, “AI and machine learning are deeply embedded in every experience, and you’re going to see a lot of it.” This fits the concept of how artificial intelligence and machine learning are changing the media industry. These technologies have greatly penetrated everything related to video. From content creation to delivery of marketing programs, AI-driven platforms offer the ability to quickly and at scale create influential, comprehensive, and reviewable video content.

The article was written by Shyam Vyas, VP-Engineering, VideoVerse

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