In 2024, the increasing dominance of video content presents both opportunities and challenges for brands.
Video consumption is at an all-time high — about 81% of internet users have used YouTube, as per Hootsuite research.
TikTok is the number one downloaded app in more than 40 countries, while half of all Facebook users spend their time watching videos. Instagram Reels can also be added to this list, with 694,000 Reels shared every minute.
For brands, reaching these user bases could be like finding a pot of gold at the end of the rainbow. However, brands also often struggle with scaling video content management to ensure effective distribution and maximize monetization as well as manually tagging, organizing, or distributing videos effectively.
“These challenges are compounded by the need to engage diverse audiences, navigate complex licensing and rights management, and deal with fragmented data that can hinder effective decision-making,” says AnyClip’s Vice President of Publisher Partnerships & Growth, Stacy Peled.
These are not all, Stacy and I went deeper into how AnyClip’s AI technology streamlines video management, creates a more engaging experience for viewers, and drives ROI for brands by connecting with the audiences.
Who Is Stacy Peled?
As a leader in AI-powered video content management, Stacy specializes in helping publishers transform their engagement strategies. She is an active member of the IAB Tech Lab and Digital Video Committee, helping shape the future of AI and video technologies.
Manually tagging and organizing can be time-consuming, leading to inconsistent results and missed opportunities.
According to Stacy, these obstacles can be effectively addressed with AI-powered video management tools.
These artificial intelligence tools can be used to create a more tailored viewing experience, which in turn drives higher engagement, longer watch times, and improved discoverability.
In AnyClip’s case, it leverages its Visual Intelligence™ technology which includes AI-driven video tagging dynamic video players that automatically match the content to the surrounding text or viewer's interests. The technology also offers real-time analytics that provides insights into viewer behavior.
In turn, this enhances traditional video content with metadata, resulting in better content discovery, targeted advertising, and automated content creation.
Essentially, AI-powered management tools improve engagement as viewers are presented with the most relevant content — thus boosting ROI via more effective monetization strategies.
What’s worth noting here is AnyClip’s AI’s ability to recommend relevant content because it understands viewer preferences and content context.
“[...] which not only maintains engagement but also encourages deeper interaction with the content, ultimately leading to higher revenue and contextual advertising opportunities,” Stacy adds.
Privacy and Security Remain Top Concerns
Despite the impressive capabilities of AI video management tools, Stacy says one common misconception remains — that AI in video management is too complex to implement and it might not accurately understand or represent brand messaging.
Another top concern is data privacy and security.
Many AI applications process personal data because it contributes to the data sets used to train machine learning systems. According to the European Parliamentary Research Service, all kinds of personal data can be used to analyze, forecast, and influence human behavior.
To this end, regulatory support comprising ethical and legal principles is needed to prevent harm and ensure fairness and explicability. While AI is not explicitly mentioned in the General Data Protection Regulation (GDPR), many provisions in the GDPR are relevant to AI.
AI should process data in a secure environment and adhere to industry best practices and regulatory requirements such as the GDPR or the California Consumer Privacy Act (CCPA).
“Our AI is trained to understand content context deeply, ensuring that it enhances rather than distorts brand messaging,” Stacy explains.
AnyClip also provides comprehensive support to help clients use AI effectively in a secure environment, enabling them to achieve their goals without compromising brand integrity.
“Our technology is designed to anonymize user data wherever possible, and we do not collect personally identifiable information unless explicitly required and agreed upon by the client,” Stacy adds.
In a previous podcast, DesignRush spoke to Dr. Jiajun Lu, one of the leaders in AI and computer vision who discussed AI in business, the challenges and privacy concerns it brings. Watch the video to learn more:
AI Algorithms for Better Insights
In addition, AnyClip’s AI algorithms analyze data points and conduct frame-by-frame analysis to identify and categorize every element within a video through automatic metadata tagging. This makes each piece of content fully searchable, discoverable, and targetable.
“This process is enhanced by integrating both first and third-party data models — including advanced tools like ChatGPT — into our platform, unlocking unprecedented levels of metadata richness,” says Stacy.
When brands leverage these AI tools, they can convert videos into intelligent, high-performing assets by integrating technologies such as image recognition, optical character recognition (OCR), keyframe analysis, text and audio recognition, and identification of people, brands, and products.
Combined, Stacy says, these tools enable businesses to tailor video content for different audiences with precision.
“This sophisticated level of personalization significantly enhances engagement metrics, resulting in increased watch times, higher click-through rates on ads, and improved viewer retention,” she notes.
She adds that such a personalized approach drives stronger overall performance.
For example, these algorithms have enabled digital publishers to automatically match videos with articles. This led to a substantial increase in video views and impressions, which improved engagement and opened new revenue streams through video monetization.
The Future of AI in Video
Looking ahead, Stacy believes that AI will play an even larger role in video content creation and distribution as advancements in generative AI become more personalized and interactive.
“We expect to see greater integration of AI with live video streams, allowing for real-time content adaptation and monetization.
These trends will likely result in even higher engagement rates, as content becomes more closely aligned with viewer interests, and ROI will continue to grow as businesses can more effectively target and monetize their audiences,” she adds.
