Five AI Trends That Will Unlock the Value of Video in Enterprise Applications
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The role of video in the enterprise is quickly expanding, permeating every facet of operations, from communications to training, marketing, customer support and beyond. This boom in video use is forcing enterprise IT teams to rethink their strategies and adapt their infrastructures for managing video and leveraging it as a core asset. And as video’s volume and complexity grow, so does the challenge of unlocking its full value.
Enter artificial intelligence (AI). AI is the key to harnessing the potential of video—enabling enterprises to extract actionable insights, automate workflows, and elevate engagement in new ways. The fusion of video and AI is no longer a niche innovation; it is now foundational to enterprise transformation, empowering businesses to work smarter, faster, and more creatively.
Here is a deeper look into the top AI trends that will reshape how enterprises embrace video, propelling its role as an indispensable medium in 2025 and beyond.
1. Multi-Modal Large Language Models Will Unlock Richer Insights and Automation Capabilities
As video becomes a universal medium, extracting its value demands more sophisticated tools. Multi-modal large language models (LLMs) represent a transformative leap. These models analyze not only text, but also images, video, audio, and other data, enabling enterprises to extract richer insights from video content and automate tasks requiring a deep understanding of both visual and textual elements.
For example, multi-modal LLMs can help transcribe speech to searchable text that can be used to generate concise summaries of video content. Multi-modal LLMs can recognize and detect objects within videos as well as any on-screen text overlay or even supplementary documents that are associated with the video content. They also streamline workflows by summarizing hours of video into concise highlights, translating content with cultural context, or auto-generating metadata for improved searchability, maximizing the value of video libraries while reducing manual effort.
With tools like these becoming available—including those on Vbrick’s 2025 roadmap—enterprises can scale video analysis, boost efficiency and derive actionable insights that will turn video libraries into value-generating assets.
2. Intelligent Content Creation Will Scale Video Production
Thanks to AI, creating high-quality video content within the enterprise will become faster, easier, and more personalized.
Organizations will tap into AI-powered tools to analyze raw video footage, identify key moments, and apply branding templates to create polished videos automatically – eliminating labor-intensive editing processes and relying on machine learning to interpret context and ensure the final product aligns with audience preferences. We will see more organizations adopt AI tools to generate video content directly from written materials, enabling rapid production without traditional filming. And finally, the rise of AI-generated synthetic avatars will open doors to more personalized, human-like video content tailored to individual users, transforming employee training and customer support experiences.
As these tools simplify production, video libraries will grow exponentially, signaling a potentially big problem for IT teams. To handle this influx of video content, enterprises must scale their infrastructure to support larger storage capacities, advanced content management systems, and secure delivery networks. AI will be essential not only for content creation, but also for managing its vast ecosystem.
3. Enhanced Video Analytics Will Elevate Engagement
In 2025, AI’s ability to analyze audience reactions will redefine how enterprises measure video success.
Emotion recognition tools can detect facial expressions, tone of voice, and body language during video meetings or webinars. This capability gives organizations the insights needed to better assess audience engagement, enabling speakers to adapt and tailor their delivery in real-time. Post-event, audience reactions can be further analyzed to help improve how future content is created, and personalized follow-ups can be shared based on the detected sentiments.
This level of feedback and responsiveness will transform video from a passive medium into an interactive, data-driven asset that continuously improves viewer engagement and business outcomes.
4. Advanced Security and Compliance Features Will Safeguard Video Content
As enterprises continue to rely on video for critical communications, ensuring authenticity will be paramount. AI will play a dual role in safeguarding content and maintaining trust.
AI-powered deepfake detection tools will be crucial in verifying the integrity of video content in 2025. We’ll see more organizations implement tools that can scan videos for manipulated footage or content created by generative AI; however, as more organizations adopt AI video tools, the presence of AI-generated content will not necessarily indicate fraud. Because of this, we will see greater adoption of technical standards like C2PA that certify the source and provenance of media content, and tools like digital fingerprinting and blockchain technology to keep record of a video’s editing history.
As AI use grows, regulatory scrutiny will increase, requiring enterprises to ensure transparency in labeling AI-generated content and implementing strong data privacy practices. By addressing these challenges proactively, organizations can harness AI’s benefits, mitigate risks like misinformation, and build trust with their audiences.
5. Generative AI Scales Beyond Pilots
In early 2024 Vbrick’s generative AI capabilities moved from proof-of-concept (POC) to production-ready applications. In 2025, we can expect to see more and more organizations focus on scaling AI video solutions to enterprise-wide use cases. This will become possible as advances in LLM training lower costs of AI usage and make high-quality generative models more accessible. As AI-powered video use cases continue to scale, companies will begin to realize more tangible returns like increased viewer engagement, enhanced productivity, and faster time to resolution. Organizations that invest in scaling AI in the year ahead will gain a competitive edge in transforming their video strategies.
The Video-AI Future is Here
Video’s omnipresence in enterprise workflows is undeniable, but its true value lies in how effectively organizations can leverage it. AI is the key to unlocking video’s potential as a critical business asset. From enhancing content creation to providing actionable insights and ensuring security, AI-powered innovations will transform the video landscape in 2025.
For enterprise IT teams, the challenge is clear: scale infrastructure, embrace AI, and prepare for the rapid growth of video as the primary medium for communication and engagement. At Vbrick, we are dedicated to helping enterprises navigate this next wave of digital transformation and prepare for the rapid growth of video with intelligent solutions that scale and seamlessly integrate with existing business processes and workflows.
Ready to experience the difference Vbrick can make? Schedule a demo today to discover how our solutions can be tailored to meet your unique organizational needs.
