For years, AI has predominantly resided within the confines of public cloud. This has presented challenges in terms of costs, upload times, and egress fees, and ultimately limited the scope of content processing for many. However, the rapid evolution of artificial intelligence (AI) and machine learning (ML) is enabling media teams to break free from the constraints and bringing fresh opportunities to expand creativity.
In the world of media and entertainment, the seamless fusion of creative and operational tasks is paramount. To strike a balance, AI/ML technologies are being utilized more to streamline repetitive tasks, automate laborious tasks, and elevate the creative process. After all, the success of content creation and delivery doesn’t only rely on creativity; it also requires workflows that are optimized, timely, and cost-effective. AI is taking center stage, used to extract valuable insights, make informed decisions in real time, facilitate collaboration, and drive innovation across the M&E industry.
It’s important to point out here that AI doesn’t replace human creativity – it simply enhances and inspires it! From revolutionizing visual effects and video editing to optimizing audio production and beyond, the possibilities are as limitless as our imaginations.
We are experiencing a pivotal shift as the media industry continues its pursuit of efficiency and creativity. And while it’s crucial to recognize the invaluable benefits brought to media teams by the public cloud, uploading and downloading assets correlate with unpredictable costs and complex processes, which in many instances, offsets its many benefits.
However, as AI moves from the cloud to the edge, bottlenecks are being removed, workflows are becoming more streamlined, and new opportunities are being uncovered. The power of AI on the edge lies in its ability to process data and make decisions in real-time, eliminating the delays and uncertainties associated with traditional cloud-based approaches. With AI capabilities embedded directly into devices or localized services, content creators can access AI-driven tools and services without relying on constant connectivity to distant cloud servers. This localized approach not only reduces latency, but it also ensures uninterrupted access to AI functionalities, even in remote or challenging environments. Whether you’re on a film set, at a live event, or deep in the heart of nature, AI on the edge empowers creators with unparalleled adaptability and seamless collaboration.
With cloud-based AI platforms and tools, creators can work together in real time, sharing ideas and feedback instantaneously. This level of collaboration in pre-processing tasks accelerates production timelines by eliminating the delays caused by traditional file transfers.
By enabling real time interaction at the edge of AI empowers content creators to push the boundaries of their imagination. Moreover, the automation capabilities of AI can significantly improve the content creation process. By automating repetitive and time-consuming tasks, such as object recognition and smart archiving, creators are provided with more time to focus on their visions and maximize their creativity.
As more media organizations begin to combine the transformative capabilities of AI at the edge with the power of the human imagination, we will see new heights of creativity being reached for the M&E sector. As the burden of routine tasks lessens, the creative process will flourish, leading to richer, more immersive content that resonates deeper with audiences.
Perifery AI+ represents a breakthrough in media content production at the edge, enabling simple-to-execute AI functions, predictable costs, and fast AI-enabled pre-processing for remote and on-set content production. Get started today.
