7 ways to maximize the value of your video library with AI

Modern, AI-driven analytics can help content platforms, social media companies and law enforcement extract more value from their video libraries. Here’s how they’re doing it.

Maximizing the value of video with AI

Analytics has helped countless businesses unlock the value of structured data sets. Now, with artificial intelligence (AI) technologies developing at a rapid pace, forward-thinking organizations are applying these same tools to complex, unstructured data sets like video libraries.

In 2018, the video analytics market was worth $3.2B. In 2023, analysts predict the market will be worth $8.6B. Beyond that, the market for this technology – and its diverse applications  –will only keep expanding.

Today, there are already many powerful video analytics use cases that can help content platforms, publishers, law enforcement, and social media platforms maximize the value of their video libraries. Here’s a sampling:

1. Easily categorize content

In the streaming age, media companies are looking for new ways to connect users with content they’ll love. From Netflix to the digital game platform Steam, media companies have long powered their recommendation engines with sophisticated AI.

This only gets better with video analytics. By using AI-powered analytics, content providers can automatically label and categorize content, and intelligently recommend different movies, TV shows, and video clips to users based on their preferences and past viewing habits.

2. Boost advertising ROI

Categorization and recommendation aren’t just good news for viewers – they represent major innovation opportunities for advertisers, too. By using AI to label video libraries and better categorize content, library owners can improve how ads are targeted and sold, increasing advertising efficacy, and helping them generate more revenue through ad sales.

3. Improving content accessibility

AI-powered video analytics can help generate automated closed captions and subtitles quickly and accurately. This helps open up content libraries to new audiences that speak different languages and those that are hard of hearing.

4. Compression optimization

Rigorous analytics is already helping Netflix optimize compression on its videos, so they look great – even when delivered over slow internet connections. This application of video analytics delivers improved experiences for all users, but it also opens up media streaming to new audiences that have limited internet data caps or bandwidth.

5. Improving security and public safety

Video analytics can help identify recurring themes and actions across videos. This holds incredible potential for the agencies and organizations tasked with ensuring public safety, as it enables them to do things like identify dangerous driving activity and help locate missing people.

6. Detecting inappropriate content

Social media and online video platform companies can train AI to automatically flag content that violates the terms of service. This helps identify and remove the content faster, but also prevents human teams from having to sort through disturbing or illegal content to remove it from the platform.

Video analytics demand flexible compute resources

The potential of video analytics is vast, but so are the technical challenges. Training AI on video libraries is a compute-intensive task, one that demands a powerful platform like NVIDIA® GPUs.

Depending on the use case, this GPU resource may need to scale depending on the volume of training data used. Cloud GPU resources can help with this scalability challenge – allowing you to deploy to multi-cloud GPU clusters as needed. However, doing this means you need to trust two providers instead of one.

The power of NVIDIA meets the flexibility of the Google Cloud Platform

To offer the flexibility and power organizations need to analyze video libraries using AI, NVIDIA has partnered with Google Cloud to deliver NVIDIA GPU clusters over the Google Cloud Platform.

Now, NVIDIA’s powerful GPUs are available alongside a complete suite of AI services in Google Cloud – making it simpler than ever to get the resources you need to bring your innovative video AI plans to life. That’s the Power of Two.

Find out more about how NVIDIA and Google Cloud have partnered to make GPU performance and game-changing AI capabilities more accessible than ever, and discover how you can redefine possible for your organization at

Share on linkedin
Share on twitter
Share on email
Scroll to Top

Want to stay up to date?