Live streaming is everywhere, especially in the pandemic world, where stay-at-home, remote-working, and work-from-home remain the new normal. Whether to develop effective webinars, online courses, keynote speeches, virtual summit workshops, or more immersive video content, enterprises and individuals continue to rely on video conferencing and live streaming to sustain active communication within a business and with customers. An outgrowth of this activity includes large volumes of data generated from live streaming and on-demand videos and the application of transformative technologies such as artificial intelligence (AI), deep learning (DL), and natural language processing (NLP).
The dangers of live streaming
The creation of all of this data and the unedited nature of streaming the data live risks opening Pandora’s box related to privacy, copyright infringement, uncensored and sensitive content issues. In addition, a large number of video content creators face risks presented by hackers and spammers during live private sessions.
In addition, several other risks pose a threat while sharing content in a live streaming session that require mitigation by platforms, applications, the public, and the government. However, one of the challenges is that live streaming provides little to no incriminating trace data on who might monitor the live content stream with unscrupulous motives.
Unfortunately, live streaming services often have limited privacy controls, making it difficult to prevent unwanted viewers from accessing the live video. This gap can increase a company’s risk exposure when communications around sensitive or secret information are shared with the viewers during video conferences, such as technological innovation plans.
So how can live streaming channels, platforms, tools, and applications that publish and record live streams regulate and safeguard their content from potential pitfalls?
AI and machine learning come to the rescue
AI is being implemented across various industries and verticals to communicate with customers, streamline tasks, and deliver data-driven insights. Some of the current applications of AI in the live-streaming arena include gathering viewer metrics, providing recommendations, troubleshooting network and technical issues, and ad serving to name a few. However, there are many other potential benefits from AI, including the active regulation of content.
AI and machine learning intercept streaming content and automatically extract metadata from video descriptions, tags, categories, and summaries. This metadata provides a basis for creating real-time intelligent analytics, content insights, and content management, facilitating enhanced governance as a means to protect the privacy of the streamer, moderate the content, and promote securely shared live feed content. The automatic extraction of metadata enables streaming platforms to act quickly, smartly, and effectively to remove any flagged content.
Preventing copyright infringement and content moderation
Machine learning monitors content continuously, detecting discrepancies in content usage patterns and taking predefined actions. ML prevents copyright infringement through content indexing and moderation analyzing live streams for potential infringement issues while providing the ability to flag illicit content.
Content moderation powered by machine learning solves the most pressing issues surrounding content violations with live streaming. Images containing offensive, unwanted, or sensitive data are identified and filtered in real-time.
AI enables automation that significantly improves user experience. The immense volume of videos created through live streams can be cataloged and indexed with machine learning and AI, resulting in effective personalizations that enhance user experiences. It allows streaming platforms, channels, or applications to automatically deliver personalized content to viewers, enabling custom-tailored messages to specific audiences.
Natural language processing
Natural language processing (NLP) is a subset of AI that focuses on enabling computers to understand and process human language to obtain a human-level understanding of the content. Companies safeguard content shared during live streaming sessions with NLP and reduce reliance on third-party software or tools for tasks like transcription, translation, interpretation, captioning, and audio description of the video.
AI and machine learning enhanced systems keep content safer and eliminate inappropriate content sharing during live streaming video sessions, conferences, or events. The platforms ensure responsible governance by organizations and facilitate improved and enhanced user experiences.
If you would like to learn more about implementing artificial intelligence and machine learning-powered streaming solutions, send us your query to email@example.com. Intellect Data, Inc. is a software solutions company incorporating data science and artificial intelligence into modern digital products with Intellect2TM. IntellectDataTM develops and implements software, software components, and software as a service (SaaS) for enterprise, desktop, web, mobile, cloud, IoT, wearables, and AR/VR environments. Locate us on the web at www.intellectdata.com.
Spot on with this write-up, I actually believe this web site
needs much more attention. I’ll probably be back again to see more, thanks for the info!