FAQs / AI LiveSight Analytics

AI LiveSight Analytics

What is the difference between VOD and live streaming?

VOD is pre-recorded and stored before viewers see it, so they can watch anytime, pause, and rewatch. Live streaming delivers video in real time as the event happens, with viewers tuning in during the broadcast.

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Does AI Live Insight work with our existing cameras?

Yes. Any IP camera or VMS over RTSP and ONVIF, including drone feeds. No new hardware, no vendor lock-in, and a phased rollout that starts with the corridors that matter most.

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What is adaptive bitrate streaming?

Adaptive bitrate streaming (ABR) is a video delivery technique that encodes content into multiple quality levels and lets the player switch between them in real time based on network conditions. This prevents buffering on slow connections while maximizing quality on fast ones. Both HLS (HTTP Live Streaming) and MPEG-DASH are widely used ABR protocols.

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Our security team is small. How can VIDIZMO help us manage a large campus?

VIDIZMO acts as a force multiplier. By automating the manual task of monitoring video feeds and providing real-time alerts for genuine threats, it allows your small team to focus on strategic response and prevention rather than constantly watching screens.

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How can law enforcement improve disaster recovery plans?

By defining clear RTO (Recovery Time Objectives) and RPO (Recovery Point Objectives), ensuring regular backups, using real-time data replication, and testing the DRP regularly to guarantee a swift recovery from any failure.

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How quickly does deprovisioning take effect?

With SCIM, deprovisioning is near real-time. When a user is disabled or deleted in the identity provider, the SCIM event triggers account deactivation on the video platform within the sync interval, typically minutes.

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What's the difference between video on demand and live streaming for enterprises?

Video on demand delivers pre-recorded content that viewers can watch anytime, while live streaming delivers content in real time during the event itself. Enterprises often use both: live streaming for town halls and product launches, and VOD for training libraries, recorded events, and on-demand reference content. Most live broadcasts are also recorded and added to the VOD library afterward.

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How do RAG applications reduce AI hallucinations?

RAG applications fetch external data in real time, grounding responses in factual sources. This process dramatically lowers the risk of AI hallucinations or made-up answers. It’s a critical benefit in sectors where accuracy matters most. Many effective RAG use cases rely on this to ensure trustworthiness. 

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How does video engagement compare between live and on-demand content?

Live events typically generate higher peak engagement because of real-time interaction through chat, polls, and Q&A. On-demand content offers sustained engagement over time and lets viewers rewatch difficult sections. The most effective enterprise video strategies combine both formats: live events for announcements and on-demand libraries for training and reference material.

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What industries are leading adopters of RAG use cases?

Healthcare, legal services, finance, and education are rapidly embracing RAG use cases. These sectors rely heavily on real-time data and precision in their AI tools. RAG applications help meet those demands with accurate, timely responses. Understanding what is RAG is vital to driving innovation in these fields. 

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What is adaptive bitrate streaming and how does transcoding enable it?

Adaptive bitrate streaming (ABR) dynamically switches video quality based on the viewer's real-time network conditions. It requires multiple versions of each video at different resolutions and bitrates created by transcoding. Without a transcoded rendition set, there is nothing for the ABR player to switch between. Learn how adaptive bitrate streaming works

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What is live transcoding?

Live transcoding converts a video stream in real time as it is captured and broadcast rather than processing a pre-recorded file. It is used for corporate live events, webinars, and executive town halls. Live transcoding operates under strict latency constraints and requires single-pass encoding, making it more computationally demanding than on-demand transcoding.

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Does it work with our existing cameras?

Yes. AI Live Insight works with the cameras you already run over RTSP and ONVIF, and alongside existing VMS platforms, so there is no need to replace hardware or accept lock-in to one camera vendor.

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Does it replace human security monitoring?

No. It puts the right feed in front of an operator at the right moment. Operators cannot watch every screen continuously, so the system surfaces what needs attention and leaves the judgement and the response to people.

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