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    <title><![CDATA[StreamingMeme — Wowza coverage]]></title>
    <link>https://www.streamingmeme.com</link>
    <description><![CDATA[Articles mentioning Wowza.]]></description>
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      <title><![CDATA[StreamingMeme — Wowza coverage]]></title>
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    <item>
      <title><![CDATA[Wowza and NVIDIA integrate SVD with VLM for synthetic video detection]]></title>
      <link><![CDATA[https://www.wowza.com/blog/synthetic-video-past-ingest-cost]]></link>
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      <pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza and NVIDIA have integrated the NVIDIA Synthetic Video Detector with the Wowza Video Intelligence Framework to provide real-time detection and reasoning for synthetic video. The solution aims to assist broadcasters and surveillance operators in meeting emerging AI disclosure regulations by providing confidence scores and plain-language explanations at the streaming layer.]]></description>
      <content:encoded><![CDATA[Wowza and NVIDIA have integrated the NVIDIA Synthetic Video Detector with the Wowza Video Intelligence Framework to provide real-time detection and reasoning for synthetic video. The solution aims to assist broadcasters and surveillance operators in meeting emerging AI disclosure regulations by providing confidence scores and plain-language explanations at the streaming layer.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    <item>
      <title><![CDATA[Wowza integrates NVIDIA Synthetic Video Detector into Video Intelligence Framework]]></title>
      <link><![CDATA[https://www.wowza.com/blog/what-is-video-compliance]]></link>
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      <pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has introduced its Video Intelligence Framework (VIF), a software solution designed to assist organizations in meeting regulatory compliance standards such as the EU AI Act, OSHA safety guidelines, and CJIS evidentiary requirements. The framework integrates the NVIDIA Synthetic Video Detector and supports custom computer vision models for workplace safety and chain-of-custody documentation.]]></description>
      <content:encoded><![CDATA[Wowza has introduced its Video Intelligence Framework (VIF), a software solution designed to assist organizations in meeting regulatory compliance standards such as the EU AI Act, OSHA safety guidelines, and CJIS evidentiary requirements. The framework integrates the NVIDIA Synthetic Video Detector and supports custom computer vision models for workplace safety and chain-of-custody documentation.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    <item>
      <title><![CDATA[Wowza updates Video Intelligence Framework to support VOD analysis]]></title>
      <link><![CDATA[https://www.wowza.com/blog/whats-new-in-wowza-video-intelligence-framework-vif]]></link>
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      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza has released version 1.1 of its Video Intelligence Framework (VIF), which now supports analysis of video-on-demand (VOD) files alongside live streams. The update also introduces a redesigned user interface, enhanced REST API security features, and expanded support for vision-language models including NVIDIA Nemotron and Google Gemma.]]></description>
      <content:encoded><![CDATA[Wowza has released version 1.1 of its Video Intelligence Framework (VIF), which now supports analysis of video-on-demand (VOD) files alongside live streams. The update also introduces a redesigned user interface, enhanced REST API security features, and expanded support for vision-language models including NVIDIA Nemotron and Google Gemma.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    <item>
      <title><![CDATA[Wowza and NVIDIA partner to detect synthetic video at IBC 2026]]></title>
      <link><![CDATA[https://www.wowza.com/blog/wowza-ibc-2026]]></link>
      <guid isPermaLink="false">95e9186c-7c97-4ed2-bae3-8ae1eb3f83ea</guid>
      <pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza announced its presence at IBC 2026, where it will demonstrate its Video Intelligence Framework and Streaming Engine. The company will specifically showcase a collaboration with NVIDIA to detect synthetic media in live video feeds using NVIDIA NIM microservices.]]></description>
      <content:encoded><![CDATA[Wowza announced its presence at IBC 2026, where it will demonstrate its Video Intelligence Framework and Streaming Engine. The company will specifically showcase a collaboration with NVIDIA to detect synthetic media in live video feeds using NVIDIA NIM microservices.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    <item>
      <title><![CDATA[Oceaneering integrates Wowza Video Intelligence Framework for subsea ROV inspections]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-oceaneering-runs-wowza-video-intelligence-framework-on-live-subsea-video]]></link>
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      <pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Oceaneering has integrated Wowza's Video Intelligence Framework into its subsea ROV operations to automate object detection and telemetry extraction. The workflow uses AI-generated timed metadata attached to live streams via ID3 tags to reduce manual review time for multi-hour dive recordings.]]></description>
      <content:encoded><![CDATA[Oceaneering has integrated Wowza's Video Intelligence Framework into its subsea ROV operations to automate object detection and telemetry extraction. The workflow uses AI-generated timed metadata attached to live streams via ID3 tags to reduce manual review time for multi-hour dive recordings.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    <item>
      <title><![CDATA[Wowza and NETINT integrate Quadra VPUs for live streaming workflow efficiency]]></title>
      <link><![CDATA[https://netint.com/research/blog/live-streaming-encoding-efficiency/?utm_source=rss&utm_medium=rss&utm_campaign=live-streaming-encoding-efficiency]]></link>
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      <pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Wowza and NETINT have announced a partnership to integrate NETINT Quadra VPUs into Wowza Streaming Engine workflows. The collaboration aims to reduce infrastructure costs by offloading transcoding tasks to hardware, while providing compute headroom for AI-driven metadata extraction and inference.]]></description>
      <content:encoded><![CDATA[Wowza and NETINT have announced a partnership to integrate NETINT Quadra VPUs into Wowza Streaming Engine workflows. The collaboration aims to reduce infrastructure costs by offloading transcoding tasks to hardware, while providing compute headroom for AI-driven metadata extraction and inference.]]></content:encoded>
      <dc:creator><![CDATA[NETINT]]></dc:creator>
      <author><![CDATA[NETINT]]></author>
      <enclosure url="https://netint.com/wp-content/uploads/2026/08/10-Wowza-Efficient-Encoding-in-Real-Workflows-2.jpg" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza Streaming Engine 4.11 adds WebRTC WHIP and WHEP support]]></title>
      <link><![CDATA[https://www.wowza.com/blog/why-should-you-keep-wowza-streaming-engine-up-to-date]]></link>
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      <pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Wowza has released Streaming Engine 4.11, which introduces support for the Video Intelligence Framework, native ARM64 transcoding, and standardized WebRTC ingest via WHIP and WHEP. The update also addresses security vulnerabilities in several third-party components and improves overall server stability.]]></description>
      <content:encoded><![CDATA[Wowza has released Streaming Engine 4.11, which introduces support for the Video Intelligence Framework, native ARM64 transcoding, and standardized WebRTC ingest via WHIP and WHEP. The update also addresses security vulnerabilities in several third-party components and improves overall server stability.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/ee5bccb9-59da-4245-9015-eb54d3a1704b.png" type="image/jpeg" length="0"/>
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    <item>
      <title><![CDATA[Wowza integrates NVIDIA Synthetic Video Detector into Video Intelligence Framework]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-to-configure-custom-ai-analysis-in-wowza-video-intelligence-framework]]></link>
      <guid isPermaLink="false">9539729d-0fc1-44a1-aa5f-efad2bbfbbec</guid>
      <pubDate>Sat, 22 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza has published a technical guide detailing how to configure its Video Intelligence Framework (VIF) to support various AI models, including object detection, scene analysis, and vision-language models. The framework is designed to run inference independently of the primary live delivery path to ensure stream uptime.]]></description>
      <content:encoded><![CDATA[Wowza has published a technical guide detailing how to configure its Video Intelligence Framework (VIF) to support various AI models, including object detection, scene analysis, and vision-language models. The framework is designed to run inference independently of the primary live delivery path to ensure stream uptime.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    </item>

    <item>
      <title><![CDATA[Wowza Integrates Native H.264 and HEVC Transcoding Into NETINT VPUs]]></title>
      <link><![CDATA[https://netint.com/vpu-ecosystem/wowza/]]></link>
      <guid isPermaLink="false">8f27485c-3692-463a-bac6-ea367a105424</guid>
      <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Wowza has integrated native H.264 and HEVC transcoding support for NETINT Video Processing Units (VPUs) directly into the Wowza Streaming Engine. This integration allows operators to perform ingest, hardware-accelerated transcoding, and packaging within a single software process to improve density and power efficiency.]]></description>
      <content:encoded><![CDATA[Wowza has integrated native H.264 and HEVC transcoding support for NETINT Video Processing Units (VPUs) directly into the Wowza Streaming Engine. This integration allows operators to perform ingest, hardware-accelerated transcoding, and packaging within a single software process to improve density and power efficiency.]]></content:encoded>
      <dc:creator><![CDATA[NETINT Technologies]]></dc:creator>
      <author><![CDATA[NETINT Technologies]]></author>
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    </item>

    <item>
      <title><![CDATA[Wowza details CPU-based transcoding optimization for high-concurrency WebRTC workflows]]></title>
      <link><![CDATA[https://www.wowza.com/blog/tuning-wowza-streaming-engine-for-high-concurrency-cpu-based-transcoding]]></link>
      <guid isPermaLink="false">72dc3921-fd99-4f8d-801e-5df9d15d7ebb</guid>
      <pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Wowza has published technical guidance for optimizing Wowza Streaming Engine on CPU-only infrastructure to handle high-concurrency WebRTC transcoding. The recommendations focus on decoder implementation, audio codec pairing, memory allocator tuning, and horizontal scaling strategies for camera fleet deployments.]]></description>
      <content:encoded><![CDATA[Wowza has published technical guidance for optimizing Wowza Streaming Engine on CPU-only infrastructure to handle high-concurrency WebRTC transcoding. The recommendations focus on decoder implementation, audio codec pairing, memory allocator tuning, and horizontal scaling strategies for camera fleet deployments.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/72dc3921-fd99-4f8d-801e-5df9d15d7ebb.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[NVIDIA and Wowza integrate Synthetic Video Detector into live streaming workflows]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-nvidia-and-wowza-are-detecting-synthetic-video-in-live-streams]]></link>
      <guid isPermaLink="false">ad9d8e1f-a639-4fc8-8e0f-746fbb83afee</guid>
      <pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[NVIDIA and Wowza have integrated the NVIDIA Synthetic Video Detector into the Wowza Video Intelligence Framework to enable real-time detection of AI-generated content within live streaming workflows. The solution, which uses frequency-domain analysis to maintain accuracy across compressed video, is designed for on-premises, edge, or air-gapped deployment.]]></description>
      <content:encoded><![CDATA[NVIDIA and Wowza have integrated the NVIDIA Synthetic Video Detector into the Wowza Video Intelligence Framework to enable real-time detection of AI-generated content within live streaming workflows. The solution, which uses frequency-domain analysis to maintain accuracy across compressed video, is designed for on-premises, edge, or air-gapped deployment.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/ad9d8e1f-a639-4fc8-8e0f-746fbb83afee.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[NASA, Google, and TiVo to headline Streaming Media Connect virtual event]]></title>
      <link><![CDATA[https://www.streamingmedia.com/Articles/News/Online-Video-News/NASA-Google-TiVo-Ballys-Wowza--TwelveLabs-to-Headline-Streaming-Media-Connect-with-Must-See-Series-of-Keynote-Fireside-Chats-176008.aspx]]></link>
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      <pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Streaming Media Connect 2026 will host a series of fireside chats featuring executives from NASA, Google, TiVo, Bally's, Wowza, and TwelveLabs. The sessions will cover technical topics including space-based streaming infrastructure, the role of agentic AI in streaming user experiences, and real-time live video processing strategies.]]></description>
      <content:encoded><![CDATA[Streaming Media Connect 2026 will host a series of fireside chats featuring executives from NASA, Google, TiVo, Bally's, Wowza, and TwelveLabs. The sessions will cover technical topics including space-based streaming infrastructure, the role of agentic AI in streaming user experiences, and real-time live video processing strategies.]]></content:encoded>
      <dc:creator><![CDATA[Streaming Media]]></dc:creator>
      <author><![CDATA[Streaming Media]]></author>
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    </item>

    <item>
      <title><![CDATA[Wowza Video Intelligence Framework enables swappable AI models for live streams]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-different-models-can-transform-the-same-video-feed]]></link>
      <guid isPermaLink="false">05bb6287-f9da-4e63-ae79-c4b5bf6ec464</guid>
      <pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has updated its Video Intelligence Framework (VIF) to allow users to swap AI models, such as RF-DETR and ViFi-CLIP, within existing live streaming pipelines. The update enables custom object detection and scene analysis without requiring changes to ingest or transcoding configurations.]]></description>
      <content:encoded><![CDATA[Wowza has updated its Video Intelligence Framework (VIF) to allow users to swap AI models, such as RF-DETR and ViFi-CLIP, within existing live streaming pipelines. The update enables custom object detection and scene analysis without requiring changes to ingest or transcoding configurations.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    </item>

    <item>
      <title><![CDATA[Wowza embeds real-time AI computer vision into live streaming pipeline]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-does-wowza-video-intelligence-framework-support-real-time-detection-at-the-streaming-layer]]></link>
      <guid isPermaLink="false">4d24afe4-591d-4a7f-9b13-6d11bdbf0bc7</guid>
      <pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Wowza has introduced its Video Intelligence Framework (VIF), which enables real-time computer vision analysis directly within the Wowza Streaming Engine pipeline. The framework supports multiple output channels, including metadata and webhooks, allowing operators to trigger automated workflows without relying on external post-event analysis.]]></description>
      <content:encoded><![CDATA[Wowza has introduced its Video Intelligence Framework (VIF), which enables real-time computer vision analysis directly within the Wowza Streaming Engine pipeline. The framework supports multiple output channels, including metadata and webhooks, allowing operators to trigger automated workflows without relying on external post-event analysis.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    </item>

    <item>
      <title><![CDATA[Wowza launches Video Intelligence Framework for live stream AI inference]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-can-wowza-vif-turn-live-video-into-real-time-operational-signals]]></link>
      <guid isPermaLink="false">fc573b25-e03e-4896-993f-2f2664402d26</guid>
      <pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza has launched the Video Intelligence Framework (VIF), an AI inference layer for the Wowza Streaming Engine that enables custom model integration and synthetic video detection on-premises or at the edge. The framework converts inference results into structured metadata and alerts, supporting delivery via ID3, webhooks, and logs without reliance on metered cloud APIs.]]></description>
      <content:encoded><![CDATA[Wowza has launched the Video Intelligence Framework (VIF), an AI inference layer for the Wowza Streaming Engine that enables custom model integration and synthetic video detection on-premises or at the edge. The framework converts inference results into structured metadata and alerts, supporting delivery via ID3, webhooks, and logs without reliance on metered cloud APIs.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
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    </item>

    <item>
      <title><![CDATA[NVIDIA launches Synthetic Video Detector to identify AI-generated media]]></title>
      <link><![CDATA[https://3dvf.com/en/siggraph-2026-nvidia-helps-newsrooms-detect-ai-generated-videos/]]></link>
      <guid isPermaLink="false">35bda6ef-831d-44bc-af2a-08ec9e89b82b</guid>
      <pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[NVIDIA unveiled its Synthetic Video Detector microservice at SIGGRAPH 2026, designed to identify AI-generated frames with sub-30ms latency. The tool has been integrated into the Wowza Video Intelligence framework to assist broadcasters and news organizations in verifying user-generated content authenticity.]]></description>
      <content:encoded><![CDATA[NVIDIA unveiled its Synthetic Video Detector microservice at SIGGRAPH 2026, designed to identify AI-generated frames with sub-30ms latency. The tool has been integrated into the Wowza Video Intelligence framework to assist broadcasters and news organizations in verifying user-generated content authenticity.]]></content:encoded>
      <dc:creator><![CDATA[3DVF]]></dc:creator>
      <author><![CDATA[3DVF]]></author>
      
    </item>

    <item>
      <title><![CDATA[Wowza launches Video Intelligence Framework for real-time live stream analysis]]></title>
      <link><![CDATA[https://martech-pulse.com/news/wowza-launches-video-intelligence-framework-to-turn-any-live-stream-into-real-time-action-on-your-terms/]]></link>
      <guid isPermaLink="false">00f4c60b-73c7-4554-bf51-83c0f55bf56b</guid>
      <pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has launched the Video Intelligence Framework (VIF), an AI-driven middleware layer for its Streaming Engine that analyzes live feeds to automate workflows and trigger alerts. The platform includes integration with NVIDIA’s Synthetic Video Detector to help organizations identify manipulated or synthetic content directly within their own infrastructure.]]></description>
      <content:encoded><![CDATA[Wowza has launched the Video Intelligence Framework (VIF), an AI-driven middleware layer for its Streaming Engine that analyzes live feeds to automate workflows and trigger alerts. The platform includes integration with NVIDIA’s Synthetic Video Detector to help organizations identify manipulated or synthetic content directly within their own infrastructure.]]></content:encoded>
      <dc:creator><![CDATA[MarTech Pulse]]></dc:creator>
      <author><![CDATA[MarTech Pulse]]></author>
      
    </item>

    <item>
      <title><![CDATA[Nvidia launches NIM microservice to detect synthetic video content]]></title>
      <link><![CDATA[https://www.biometricupdate.com/202607/nvidia-brings-synthetic-video-detection-to-enterprise-ai-platform]]></link>
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      <pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Nvidia has launched a synthetic video detection NIM microservice that utilizes vision-transformer models to identify AI-generated content in real-time. Wowza is integrating this service into its Video Intelligence Framework to enable streaming operators to flag AI-generated media within their existing live and broadcast workflows.]]></description>
      <content:encoded><![CDATA[Nvidia has launched a synthetic video detection NIM microservice that utilizes vision-transformer models to identify AI-generated content in real-time. Wowza is integrating this service into its Video Intelligence Framework to enable streaming operators to flag AI-generated media within their existing live and broadcast workflows.]]></content:encoded>
      <dc:creator><![CDATA[Biometric Update]]></dc:creator>
      <author><![CDATA[Biometric Update]]></author>
      
    </item>

    <item>
      <title><![CDATA[Wowza launches VIF to embed sub-200ms AI inference in media servers]]></title>
      <link><![CDATA[https://www.streamingmedia.com/Articles/News/Online-Video-News/Wowza-Moves-Up-the-Stack-with-the-Video-Intelligence-Framework-(VIF)-175748.aspx]]></link>
      <guid isPermaLink="false">b13a9e93-53bf-44e8-a59d-df7ed0fd106f</guid>
      <pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza has introduced the Video Intelligence Framework (VIF), a software module designed for Wowza Streaming Engine that enables real-time computer vision inference on local NVIDIA GPUs. The solution processes metadata directly within the media server to support programmatic advertising, automated highlight generation, and mission-critical security alerts without requiring cloud connectivity.]]></description>
      <content:encoded><![CDATA[Wowza has introduced the Video Intelligence Framework (VIF), a software module designed for Wowza Streaming Engine that enables real-time computer vision inference on local NVIDIA GPUs. The solution processes metadata directly within the media server to support programmatic advertising, automated highlight generation, and mission-critical security alerts without requiring cloud connectivity.]]></content:encoded>
      <dc:creator><![CDATA[Streaming Media]]></dc:creator>
      <author><![CDATA[Streaming Media]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/b13a9e93-53bf-44e8-a59d-df7ed0fd106f.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Decoupling inference from delivery infrastructure optimizes custom AI video workflows]]></title>
      <link><![CDATA[https://www.wowza.com/blog/when-out-of-the-box-ai-is-enough-and-when-it-isnt]]></link>
      <guid isPermaLink="false">a48f54c0-a9d1-4229-9bfb-3938ab029f9d</guid>
      <pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza discusses the architectural considerations for integrating computer vision models into video streaming workflows. The article outlines the importance of decoupling inference from delivery infrastructure to allow for the use of custom-trained, domain-specific AI models.]]></description>
      <content:encoded><![CDATA[Wowza discusses the architectural considerations for integrating computer vision models into video streaming workflows. The article outlines the importance of decoupling inference from delivery infrastructure to allow for the use of custom-trained, domain-specific AI models.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/a48f54c0-a9d1-4229-9bfb-3938ab029f9d.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza modernization brings HEVC support and standardized WebRTC ingest protocols]]></title>
      <link><![CDATA[https://www.wowza.com/docs/wowza-streaming-engine-4-11-0-release-notes]]></link>
      <guid isPermaLink="false">b885dbd3-1e0e-419a-8655-a0a447eec1a6</guid>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has released Wowza Streaming Engine version 4.11.0, featuring a modernized WebRTC stack that includes support for WHIP and WHEP protocols, configurable STUN/TURN servers, and HEVC/VP9. The update also updates underlying web components like Tomcat, Jetty, and Log4j to address security vulnerabilities while resolving various memory and transcoding bugs.]]></description>
      <content:encoded><![CDATA[Wowza has released Wowza Streaming Engine version 4.11.0, featuring a modernized WebRTC stack that includes support for WHIP and WHEP protocols, configurable STUN/TURN servers, and HEVC/VP9. The update also updates underlying web components like Tomcat, Jetty, and Log4j to address security vulnerabilities while resolving various memory and transcoding bugs.]]></content:encoded>
      <dc:creator><![CDATA[Wowza Media Systems]]></dc:creator>
      <author><![CDATA[Wowza Media Systems]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/b885dbd3-1e0e-419a-8655-a0a447eec1a6.jpg" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza update shifts WebRTC stack to production-ready cloud-native standards]]></title>
      <link><![CDATA[https://www.wowza.com/blog/wowza-streaming-engine-4-11-updates-webrtc-for-production-scale-cloud-native-streaming]]></link>
      <guid isPermaLink="false">476430f2-d1d1-4256-8200-5cedb7b78713</guid>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has released Wowza Streaming Engine 4.11, featuring a rebuilt WebRTC stack that aligns with current W3C and IETF specifications. The update introduces native support for WHIP and WHEP protocols to simplify standards-based ingest and playback, alongside full ICE connectivity validation and configurable STUN/TURN server steering for cloud-native workflows.]]></description>
      <content:encoded><![CDATA[Wowza has released Wowza Streaming Engine 4.11, featuring a rebuilt WebRTC stack that aligns with current W3C and IETF specifications. The update introduces native support for WHIP and WHEP protocols to simplify standards-based ingest and playback, alongside full ICE connectivity validation and configurable STUN/TURN server steering for cloud-native workflows.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/476430f2-d1d1-4256-8200-5cedb7b78713.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Server Room issues configuration guides for major software and hardware encoders]]></title>
      <link><![CDATA[https://serverroom.net/support/live-video-streaming]]></link>
      <guid isPermaLink="false">e65578d2-616f-476b-af6d-4fa7e07c2f52</guid>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Server Room, a streaming server infrastructure provider, has released a series of live video streaming tutorials for streaming professionals. These guides cover the setup and configuration of various software and hardware encoders, including OBS, xSplit, TeraDek CUBE, SelenioFlex, Epiphan, and Wowza Streaming Engine, for optimal connection to Server Room's platform.]]></description>
      <content:encoded><![CDATA[Server Room, a streaming server infrastructure provider, has released a series of live video streaming tutorials for streaming professionals. These guides cover the setup and configuration of various software and hardware encoders, including OBS, xSplit, TeraDek CUBE, SelenioFlex, Epiphan, and Wowza Streaming Engine, for optimal connection to Server Room's platform.]]></content:encoded>
      <dc:creator><![CDATA[Server Room]]></dc:creator>
      <author><![CDATA[Server Room]]></author>
      <enclosure url="https://serverroom.net/images/og_images/logo.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[UCTV uses Wowza Streaming Engine for 24/7 linear public TV]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-uctv-powers-24-7-public-television-across-the-u-s-with-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">ce52c962-aeb5-4548-a175-aba8694ffd7e</guid>
      <pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[UCTV utilizes Wowza Streaming Engine to power its 24/7 linear public television channel, ensuring continuous uptime and reliable performance. This enables UCTV to expand its distribution to various TV providers and streaming platforms without interruption, critical for maintaining public broadcaster credibility. The article highlights Wowza's role in providing a stable foundation for UCTV's distribution workflow.]]></description>
      <content:encoded><![CDATA[UCTV utilizes Wowza Streaming Engine to power its 24/7 linear public television channel, ensuring continuous uptime and reliable performance. This enables UCTV to expand its distribution to various TV providers and streaming platforms without interruption, critical for maintaining public broadcaster credibility. The article highlights Wowza's role in providing a stable foundation for UCTV's distribution workflow.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/ce52c962-aeb5-4548-a175-aba8694ffd7e.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza secures HLS streams with four-layer authentication and payload encryption]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-hls-stream-security-works-in-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">6f3e81eb-683d-4dbe-9a3a-14df14ed8266</guid>
      <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza has published a detailed explanation of how its Streaming Engine product applies a layered approach to HLS stream security, covering transport security, authentication, authorization, and encryption. The article outlines how these layers, including HLS over TLS, secure tokens, HMAC signing, geo-restriction, AES-128, and DRM integrations, help protect live and VOD content. This guide is aimed at engineering teams needing to match security measures to specific content risks and value.]]></description>
      <content:encoded><![CDATA[Wowza has published a detailed explanation of how its Streaming Engine product applies a layered approach to HLS stream security, covering transport security, authentication, authorization, and encryption. The article outlines how these layers, including HLS over TLS, secure tokens, HMAC signing, geo-restriction, AES-128, and DRM integrations, help protect live and VOD content. This guide is aimed at engineering teams needing to match security measures to specific content risks and value.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/HLS-Security-1-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Video processing platform market forecast to expand rapidly through 2033]]></title>
      <link><![CDATA[https://www.openpr.com/news/4543828/video-processing-platform-market-is-going-to-boom-rapidly-with]]></link>
      <guid isPermaLink="false">a7cba791-acd0-4c64-844e-de2265afe788</guid>
      <pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[A new study by Coherent Market Insights forecasts rapid growth for the Video Processing Platform Market from 2026 to 2033. The report offers strategic insights into market entry and understanding competitive landscapes, identifying key players such as Brightcove, Wowza, Kaltura, and Harmonic. It covers market dynamics, segmentation, competitive analysis, and geographical landscapes to aid strategic decision-making for businesses in the video processing sector.]]></description>
      <content:encoded><![CDATA[A new study by Coherent Market Insights forecasts rapid growth for the Video Processing Platform Market from 2026 to 2033. The report offers strategic insights into market entry and understanding competitive landscapes, identifying key players such as Brightcove, Wowza, Kaltura, and Harmonic. It covers market dynamics, segmentation, competitive analysis, and geographical landscapes to aid strategic decision-making for businesses in the video processing sector.]]></content:encoded>
      <dc:creator><![CDATA[openPR.com]]></dc:creator>
      <author><![CDATA[openPR.com]]></author>
      <enclosure url="https://www.openpr.com/fx/openpr-logo-slogan.svg" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza Details Server Capacity Scaling Across Streaming Workflows, AI Integration]]></title>
      <link><![CDATA[https://www.wowza.com/blog/passthrough-vs-transcoding-vs-streaming-why-the-same-server-supports-different-stream-counts]]></link>
      <guid isPermaLink="false">04aaaf66-cf90-4f9d-a21e-b2fcb7762fe1</guid>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza published an article differentiating passthrough, transcoding, and full streaming workflows, and how each impacts server capacity for Wowza Streaming Engine deployments. It details how varying hardware component engagement (CPU, GPU, RAM) and streaming variables lead to different stream counts per server. The article concludes by emphasizing the importance of matching the server to the workflow and load testing for accurate capacity estimates.]]></description>
      <content:encoded><![CDATA[Wowza published an article differentiating passthrough, transcoding, and full streaming workflows, and how each impacts server capacity for Wowza Streaming Engine deployments. It details how varying hardware component engagement (CPU, GPU, RAM) and streaming variables lead to different stream counts per server. The article concludes by emphasizing the importance of matching the server to the workflow and load testing for accurate capacity estimates.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/04aaaf66-cf90-4f9d-a21e-b2fcb7762fe1.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza Details Five Hardware Variables Controlling Server Transcoding Capacity]]></title>
      <link><![CDATA[https://www.wowza.com/blog/what-are-the-hardware-variables-behind-stream-load-capacity-planning]]></link>
      <guid isPermaLink="false">bb9299d0-dcb6-4053-afa5-e052e5024645</guid>
      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza published an article detailing five hardware variables—CPU, GPU, NVENC, VRAM, and system RAM—that critically influence server stream transcoding capacity. The company emphasizes that understanding these components and their interactions is essential for accurate hardware sizing and load testing in streaming deployments. The article highlights that the first component to saturate sets the ceiling, making comprehensive evaluation more important than single-spec focus.]]></description>
      <content:encoded><![CDATA[Wowza published an article detailing five hardware variables—CPU, GPU, NVENC, VRAM, and system RAM—that critically influence server stream transcoding capacity. The company emphasizes that understanding these components and their interactions is essential for accurate hardware sizing and load testing in streaming deployments. The article highlights that the first component to saturate sets the ceiling, making comprehensive evaluation more important than single-spec focus.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/bb9299d0-dcb6-4053-afa5-e052e5024645.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Wowza details CDN architecture for live traffic video streaming]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-do-transportation-agencies-stream-live-traffic-video-from-end-to-end]]></link>
      <guid isPermaLink="false">8b8d26ce-6b44-4759-92ab-68a99054a00e</guid>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Wowza Media Systems published an article detailing the architectural approach for transportation agencies to stream live traffic video. The article explains how departments of transportation (DOTs) utilize Wowza Streaming Engine in conjunction with a CDN to achieve end-to-end scalability for live traffic monitoring.]]></description>
      <content:encoded><![CDATA[Wowza Media Systems published an article detailing the architectural approach for transportation agencies to stream live traffic video. The article explains how departments of transportation (DOTs) utilize Wowza Streaming Engine in conjunction with a CDN to achieve end-to-end scalability for live traffic monitoring.]]></content:encoded>
      <dc:creator><![CDATA[Wowza Media Systems]]></dc:creator>
      <author><![CDATA[Wowza Media Systems]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/DOT-End-To-End-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[What Are WebVTT Captions?]]></title>
      <link><![CDATA[https://www.wowza.com/blog/what-are-webvtt-captions]]></link>
      <guid isPermaLink="false">9faf905f-06b6-4e77-9277-b170e82459c9</guid>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[The article by Wowza explains what WebVTT captions are. It details the WebVTT format and compares it to other caption formats such as SRT, CEA-608/708, and TTML, providing an overview of their technical characteristics and uses.]]></description>
      <content:encoded><![CDATA[The article by Wowza explains what WebVTT captions are. It details the WebVTT format and compares it to other caption formats such as SRT, CEA-608/708, and TTML, providing an overview of their technical characteristics and uses.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/WebVTT-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Contribution and Delivery Protocols in Video Streaming Workflows ]]></title>
      <link><![CDATA[https://www.wowza.com/blog/contribution-and-delivery-protocols-in-video-streaming-workflows]]></link>
      <guid isPermaLink="false">7b4d8a84-4fd6-4ab0-9e4a-4772a68848e6</guid>
      <pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Wowza published an explainer on contribution and delivery protocols in video streaming workflows. The article distinguishes ingest protocols such as RTMP, SRT, RTSP, RTP, and MPEG-TS from delivery protocols such as HLS, DASH, low-latency HLS, low-latency DASH, and WebRTC, and describes how media servers convert between them in a typical live streaming workflow.]]></description>
      <content:encoded><![CDATA[Wowza published an explainer on contribution and delivery protocols in video streaming workflows. The article distinguishes ingest protocols such as RTMP, SRT, RTSP, RTP, and MPEG-TS from delivery protocols such as HLS, DASH, low-latency HLS, low-latency DASH, and WebRTC, and describes how media servers convert between them in a typical live streaming workflow.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[Top Video Developer Trends Shaping Streaming in 2026]]></title>
      <link><![CDATA[https://www.wowza.com/blog/video-developer-trends]]></link>
      <guid isPermaLink="false">e89345b5-1070-4d41-8faa-fe0f301c4d8f</guid>
      <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[In a blog post analyzing video developer trends, Wowza identifies five key areas shaping technical workflows. The trends include converting video streams into structured data signals via AI, context-aware "Video-Guided Ad Insertion" (VGAI), greater hardware and software interoperability through standards like ONVIF and abstraction APIs, implementing content authenticity for live streams via C2PA, and using agentic AI for end-to-end pipeline automation.]]></description>
      <content:encoded><![CDATA[In a blog post analyzing video developer trends, Wowza identifies five key areas shaping technical workflows. The trends include converting video streams into structured data signals via AI, context-aware "Video-Guided Ad Insertion" (VGAI), greater hardware and software interoperability through standards like ONVIF and abstraction APIs, implementing content authenticity for live streams via C2PA, and using agentic AI for end-to-end pipeline automation.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[Wowza Launches Video Intelligence Framework]]></title>
      <link><![CDATA[https://www.tvtechnology.com/production/wowza-launches-video-intelligence-framework]]></link>
      <guid isPermaLink="false">c932c3bf-7731-43c4-ae33-b6650224eb2f</guid>
      <pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza announced general availability of Wowza Video Intelligence Framework, a solution designed to apply AI inference within live streaming workflows to generate real-time metadata, clips, alerts, and machine-readable event signals while the stream is still live. Built to run alongside Wowza Streaming Engine, it extracts frames for inference and outputs signals such as webhooks, JSON, ID3 tags, overlays, timestamped clips, and event logs, with deployment options across on-prem, edge, cloud, and hybrid environments. Wowza positions the framework for use cases including contextual advertising signals for live ad decisioning, automated clip/highlight generation, sports analysis workflows, and operational monitoring like camera health alerts.]]></description>
      <content:encoded><![CDATA[Wowza announced general availability of Wowza Video Intelligence Framework, a solution designed to apply AI inference within live streaming workflows to generate real-time metadata, clips, alerts, and machine-readable event signals while the stream is still live. Built to run alongside Wowza Streaming Engine, it extracts frames for inference and outputs signals such as webhooks, JSON, ID3 tags, overlays, timestamped clips, and event logs, with deployment options across on-prem, edge, cloud, and hybrid environments. Wowza positions the framework for use cases including contextual advertising signals for live ad decisioning, automated clip/highlight generation, sports analysis workflows, and operational monitoring like camera health alerts.]]></content:encoded>
      <dc:creator><![CDATA[TV Technology]]></dc:creator>
      <author><![CDATA[TV Technology]]></author>
      <enclosure url="https://cdn.mos.cms.futurecdn.net/r8bDWFPpGmGuxV2kkcXHHa-1000-75.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[What Is Media Over QUIC (MoQ) And Why Are People Talking About It?]]></title>
      <link><![CDATA[https://www.wowza.com/blog/what-is-media-over-quic-moq-and-why-are-people-talking-about-it]]></link>
      <guid isPermaLink="false">d0f0872b-f3e9-49ee-b881-b11b77df5b63</guid>
      <pubDate>Mon, 13 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Wowza outlines Media over QUIC (MoQ), an in-development IETF publish/subscribe streaming protocol built on QUIC/WebTransport that targets sub-second live video delivery at large scale, positioning it as a potential single protocol spanning ingest and distribution. The article compares MoQ with RTMP, HLS/DASH (including low-latency variants), and WebRTC, and highlights MoQ’s relay-based fan-out, tracks/groups/objects data model, and browser support via WebTransport/WebCodecs. It also notes MoQ’s current limitations, including evolving drafts, interoperability/tooling gaps, limited hardware encoder support, and the need for hybrid fallback delivery, and states that Wowza has joined the OpenMOQ consortium to help advance implementations and testing.]]></description>
      <content:encoded><![CDATA[Wowza outlines Media over QUIC (MoQ), an in-development IETF publish/subscribe streaming protocol built on QUIC/WebTransport that targets sub-second live video delivery at large scale, positioning it as a potential single protocol spanning ingest and distribution. The article compares MoQ with RTMP, HLS/DASH (including low-latency variants), and WebRTC, and highlights MoQ’s relay-based fan-out, tracks/groups/objects data model, and browser support via WebTransport/WebCodecs. It also notes MoQ’s current limitations, including evolving drafts, interoperability/tooling gaps, limited hardware encoder support, and the need for hybrid fallback delivery, and states that Wowza has joined the OpenMOQ consortium to help advance implementations and testing.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/d0f0872b-f3e9-49ee-b881-b11b77df5b63.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[MoQ Streaming with Wowza Streaming Engine and Claude AI]]></title>
      <link><![CDATA[https://www.wowza.com/blog/moq-streaming-with-wowza-streaming-engine-and-claude-ai]]></link>
      <guid isPermaLink="false">c8bbf30d-782f-40a7-87de-3d96dbe6a899</guid>
      <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza describes a proof-of-concept module for Wowza Streaming Engine that maps its existing CMAF fMP4 output into the Media over QUIC (MoQ) object model and delivers it over MOQT using the CMSF CMAF-over-MoQ mapping, without modifying core server code. The article outlines MoQ’s publish/subscribe workflow (tracks, groups, objects, namespaces, and catalogs) and the resulting relay/publisher architecture inside Wowza’s Java extension framework. It also compares QUIC transport options (quiche4j/Cloudflare quiche vs. Kwik with WebTransport/HTTP3), and notes interoperability testing, spec churn, and hardening requirements before production use.]]></description>
      <content:encoded><![CDATA[Wowza describes a proof-of-concept module for Wowza Streaming Engine that maps its existing CMAF fMP4 output into the Media over QUIC (MoQ) object model and delivers it over MOQT using the CMSF CMAF-over-MoQ mapping, without modifying core server code. The article outlines MoQ’s publish/subscribe workflow (tracks, groups, objects, namespaces, and catalogs) and the resulting relay/publisher architecture inside Wowza’s Java extension framework. It also compares QUIC transport options (quiche4j/Cloudflare quiche vs. Kwik with WebTransport/HTTP3), and notes interoperability testing, spec churn, and hardening requirements before production use.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/Barry-Claude-MOQ-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[RTP vs RTSP: The Difference Between Streaming’s Control and Transport Layers]]></title>
      <link><![CDATA[https://www.wowza.com/blog/rtp-vs-rtsp-the-difference-between-streamings-control-and-transport-layers]]></link>
      <guid isPermaLink="false">29fab9d9-5d81-40b0-a05b-ed8c25dc5cdf</guid>
      <pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Wowza explains the functional difference between RTP (media transport) and RTSP (session control), including how RTSP commands like OPTIONS, DESCRIBE, SETUP, PLAY, PAUSE, and TEARDOWN coordinate streaming sessions while RTP carries audio/video packets and RTCP provides QoS feedback. The article contrasts RTSP’s stateful session model with HTTP-based streaming used by HLS/DASH, and describes UDP vs TCP-interleaved transport tradeoffs for latency and firewall/NAT traversal. It also positions media servers such as Wowza Streaming Engine as a bridge that ingests RTSP/RTP (common in IP cameras) and transmuxes to browser-friendly formats like HLS or WebRTC.]]></description>
      <content:encoded><![CDATA[Wowza explains the functional difference between RTP (media transport) and RTSP (session control), including how RTSP commands like OPTIONS, DESCRIBE, SETUP, PLAY, PAUSE, and TEARDOWN coordinate streaming sessions while RTP carries audio/video packets and RTCP provides QoS feedback. The article contrasts RTSP’s stateful session model with HTTP-based streaming used by HLS/DASH, and describes UDP vs TCP-interleaved transport tradeoffs for latency and firewall/NAT traversal. It also positions media servers such as Wowza Streaming Engine as a bridge that ingests RTSP/RTP (common in IP cameras) and transmuxes to browser-friendly formats like HLS or WebRTC.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/RTP-RTSP-1-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Architecting for Scale To Deploy At Your Pace]]></title>
      <link><![CDATA[https://www.wowza.com/blog/architecting-for-scale-to-deploy-at-your-pace]]></link>
      <guid isPermaLink="false">d438f7bd-e8f1-483e-8b5c-704582d85c33</guid>
      <pubDate>Thu, 02 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza outlines an architecture approach for scaling large RTSP/IP camera fleets (hundreds to thousands of feeds) using Wowza Streaming Engine instances behind load balancers, containerization, and Kubernetes-based orchestration with autoscaling. The article argues that phased rollouts should use the same production architecture from the start via a “validation deployment,” enabling later expansion without re-architecting and optionally adding automation such as detection, alerting, and logging.]]></description>
      <content:encoded><![CDATA[Wowza outlines an architecture approach for scaling large RTSP/IP camera fleets (hundreds to thousands of feeds) using Wowza Streaming Engine instances behind load balancers, containerization, and Kubernetes-based orchestration with autoscaling. The article argues that phased rollouts should use the same production architecture from the start via a “validation deployment,” enabling later expansion without re-architecting and optionally adding automation such as detection, alerting, and logging.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/Architecting-For-Scale-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[How Mississippi DOT Manages 1,300 Traffic Cameras with Wowza Streaming Engine]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-mississippi-dot-manages-1300-traffic-cameras-with-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">10f3f14f-6823-45f0-85d2-ab30fe347612</guid>
      <pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Wowza describes how the Mississippi Department of Transportation uses Wowza Streaming Engine as an API-driven platform to provision, monitor, and deliver over 1,200 RTSP traffic camera feeds, including automated health checks and stream management via a custom "Camera Manager" system. MDOT generates near-real-time still thumbnails from camera streams using Wowza Transcoder and sends frames to a vision model that answers incident-related prompts (e.g., crash, stalled vehicle, emergency responders), creating a prioritized operator review queue. Wowza also notes it is running a beta program with clients to add AI-powered video intelligence/scene analysis capabilities to existing Wowza-based live video workflows.]]></description>
      <content:encoded><![CDATA[Wowza describes how the Mississippi Department of Transportation uses Wowza Streaming Engine as an API-driven platform to provision, monitor, and deliver over 1,200 RTSP traffic camera feeds, including automated health checks and stream management via a custom "Camera Manager" system. MDOT generates near-real-time still thumbnails from camera streams using Wowza Transcoder and sends frames to a vision model that answers incident-related prompts (e.g., crash, stalled vehicle, emergency responders), creating a prioritized operator review queue. Wowza also notes it is running a beta program with clients to add AI-powered video intelligence/scene analysis capabilities to existing Wowza-based live video workflows.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/10f3f14f-6823-45f0-85d2-ab30fe347612.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[How To Deliver Low-Latency HLS With Wowza and Google Cloud Media CDN]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-to-deliver-low-latency-hls-with-wowza-and-google-cloud-media-cdn]]></link>
      <guid isPermaLink="false">315c8e49-176a-4966-a39a-f865131c5066</guid>
      <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[The article provides a technical workflow for delivering Low-Latency HLS (LL-HLS) at scale by using Wowza Streaming Engine to generate short CMAF chunks (e.g., 500ms) and Google Cloud Media CDN for global edge delivery. It describes configuration steps for origin tuning (packetizer properties, shorter segment durations, HTTPS via StreamLock) and CDN setup (origin services, route rules for manifests vs segments, cache policies, cache key tuning, and origin shielding). It also outlines observability practices using Google Cloud Logging and request headers to monitor cache status, origin load, and latency metrics such as TTFB.]]></description>
      <content:encoded><![CDATA[The article provides a technical workflow for delivering Low-Latency HLS (LL-HLS) at scale by using Wowza Streaming Engine to generate short CMAF chunks (e.g., 500ms) and Google Cloud Media CDN for global edge delivery. It describes configuration steps for origin tuning (packetizer properties, shorter segment durations, HTTPS via StreamLock) and CDN setup (origin services, route rules for manifests vs segments, cache policies, cache key tuning, and origin shielding). It also outlines observability practices using Google Cloud Logging and request headers to monitor cache status, origin load, and latency metrics such as TTFB.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/Google-CDN-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Troubleshooting Common Streaming Configuration Issues in Wowza Streaming Engine ]]></title>
      <link><![CDATA[https://www.wowza.com/blog/troubleshooting-wowza-streaming-engine-configuration-issues]]></link>
      <guid isPermaLink="false">4e5eda10-252c-4309-a263-fac62ebd3a6e</guid>
      <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Wowza published a technical guide for troubleshooting common Wowza Streaming Engine configuration problems, focusing on Manager/REST API access failures (service not running, port 8087 blocked, credential and auth-method mismatches, IP whitelists) and licensing-related 402 errors. It also covers ingest and codec troubleshooting for SRT and RTMP workflows, including listener/caller role alignment, UDP port and NAT checks, SRT-to-RTMP republishing considerations, and recommended encoder settings (e.g., H.264/AAC, consistent GOP/keyframe intervals) to reduce buffering-like artifacts and transcoder instability.]]></description>
      <content:encoded><![CDATA[Wowza published a technical guide for troubleshooting common Wowza Streaming Engine configuration problems, focusing on Manager/REST API access failures (service not running, port 8087 blocked, credential and auth-method mismatches, IP whitelists) and licensing-related 402 errors. It also covers ingest and codec troubleshooting for SRT and RTMP workflows, including listener/caller role alignment, UDP port and NAT checks, SRT-to-RTMP republishing considerations, and recommended encoder settings (e.g., H.264/AAC, consistent GOP/keyframe intervals) to reduce buffering-like artifacts and transcoder instability.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/4e5eda10-252c-4309-a263-fac62ebd3a6e.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Takeaways from Mile High Video 2026]]></title>
      <link><![CDATA[https://www.wowza.com/blog/takeaways-from-mile-high-video-2026]]></link>
      <guid isPermaLink="false">c03fdbfa-0557-4b9e-bf15-a758628dbb79</guid>
      <pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[The article summarizes key technical themes from the Mile High Video 2026 conference, highlighting progress in Media-over-QUIC (MoQ), real-time QoE telemetry (CMCDv2, MQA), AI-driven encoding and machine-to-machine video, and new ad formats and insertion standards. It also covers infrastructure advances such as Enhanced RTMP, Netflix’s REaP architecture, AV2 plus custom encoding silicon, and authenticity standards like C2PA for content provenance. The piece positions modern streaming architectures as increasingly data-driven, modular, and security-focused, with vendors like Wowza planning product roadmaps around these developments.]]></description>
      <content:encoded><![CDATA[The article summarizes key technical themes from the Mile High Video 2026 conference, highlighting progress in Media-over-QUIC (MoQ), real-time QoE telemetry (CMCDv2, MQA), AI-driven encoding and machine-to-machine video, and new ad formats and insertion standards. It also covers infrastructure advances such as Enhanced RTMP, Netflix’s REaP architecture, AV2 plus custom encoding silicon, and authenticity standards like C2PA for content provenance. The piece positions modern streaming architectures as increasingly data-driven, modular, and security-focused, with vendors like Wowza planning product roadmaps around these developments.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/c03fdbfa-0557-4b9e-bf15-a758628dbb79.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[How to Implement Wowza Streaming Engine for Public Sector Monitoring, Surveillance, & Security  ]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-to-implement-wowza-streaming-engine-for-public-sector-monitoring-surveillance-security]]></link>
      <guid isPermaLink="false">893cbc28-b34c-4d11-99ef-e321470b513d</guid>
      <pubDate>Mon, 22 Dec 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[A state Department of Transportation drastically reduced camera management time by 99% without replacing hardware by implementing Wowza Streaming Engine, showcasing how public sector agencies can leverage advanced streaming solutions to modernize surveillance using existing infrastructure. This development underscores the growing industry trend of integrating AI analytics and real-time monitoring in legacy public sector surveillance systems.]]></description>
      <content:encoded><![CDATA[A state Department of Transportation drastically reduced camera management time by 99% without replacing hardware by implementing Wowza Streaming Engine, showcasing how public sector agencies can leverage advanced streaming solutions to modernize surveillance using existing infrastructure. This development underscores the growing industry trend of integrating AI analytics and real-time monitoring in legacy public sector surveillance systems.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      <enclosure url="https://www.wowza.com/wp-content/uploads/PublicSectorSB-BlogHeadernotext-c.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Fast-Track Wowza Streaming Engine Deployment with Docker]]></title>
      <link><![CDATA[https://www.wowza.com/blog/fast-track-wowza-streaming-engine-deployment-with-docker]]></link>
      <guid isPermaLink="false">bbcdf5e9-062f-4c7b-9231-5190eb638b50</guid>
      <pubDate>Fri, 05 Dec 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza is advancing its support for Docker to streamline and accelerate deployment of its Streaming Engine, offering significant infrastructure and operational benefits for streaming video professionals. This development underscores the growing role of containerization in optimizing video streaming workflows and infrastructure management.]]></description>
      <content:encoded><![CDATA[Wowza is advancing its support for Docker to streamline and accelerate deployment of its Streaming Engine, offering significant infrastructure and operational benefits for streaming video professionals. This development underscores the growing role of containerization in optimizing video streaming workflows and infrastructure management.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[When and Why to Use A Video CDN for Live and On-Demand Streaming]]></title>
      <link><![CDATA[https://www.wowza.com/blog/when-and-why-to-use-a-video-cdn]]></link>
      <guid isPermaLink="false">2954a554-5e06-456c-9394-ffcea9aee4b8</guid>
      <pubDate>Wed, 03 Dec 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza outlines the importance of using a video Content Delivery Network (CDN) to ensure scalable, high-quality video streaming across devices and networks. Their Streaming Engine service offers flexible CDN integration, crucial for delivering optimal live and on-demand streaming experiences.]]></description>
      <content:encoded><![CDATA[Wowza outlines the importance of using a video Content Delivery Network (CDN) to ensure scalable, high-quality video streaming across devices and networks. Their Streaming Engine service offers flexible CDN integration, crucial for delivering optimal live and on-demand streaming experiences.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[Wowza?s Alex Gammelgard Talks Pivots in Streaming Architecture Away From ?Pure? Cloud at Streaming Media 2025]]></title>
      <link><![CDATA[https://www.streamingmedia.com/Articles/ReadArticle.aspx?ArticleID=172577]]></link>
      <guid isPermaLink="false">31ea6d0b-a9d1-411c-8d11-1fa0ac204584</guid>
      <pubDate>Wed, 26 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza's VP of Marketing, Alex Gammelgard, discusses a potential industry shift from pure cloud streaming infrastructure toward hybrid models combining cloud and on-prem elements, driven by data security concerns. This insight is crucial for streaming professionals evaluating infrastructure strategies ahead of Streaming Media 2025.]]></description>
      <content:encoded><![CDATA[Wowza's VP of Marketing, Alex Gammelgard, discusses a potential industry shift from pure cloud streaming infrastructure toward hybrid models combining cloud and on-prem elements, driven by data security concerns. This insight is crucial for streaming professionals evaluating infrastructure strategies ahead of Streaming Media 2025.]]></content:encoded>
      <dc:creator><![CDATA[Streaming Media]]></dc:creator>
      <author><![CDATA[Streaming Media]]></author>
      
    </item>

    <item>
      <title><![CDATA[Building Custom Plugins for Wowza Streaming Engine]]></title>
      <link><![CDATA[https://www.wowza.com/blog/building-custom-plugins-for-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">0108efb2-8c5a-4ebd-8dbe-6391d230edaa</guid>
      <pubDate>Fri, 21 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza has introduced the wse-plugin-builder, an open-source framework designed to streamline and simplify the development of custom modules for Wowza Streaming Engine. This tool enables developers to deploy tailored streaming functionalities more efficiently, enhancing flexibility and innovation within the streaming video industry.]]></description>
      <content:encoded><![CDATA[Wowza has introduced the wse-plugin-builder, an open-source framework designed to streamline and simplify the development of custom modules for Wowza Streaming Engine. This tool enables developers to deploy tailored streaming functionalities more efficiently, enhancing flexibility and innovation within the streaming video industry.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[Real-Time Subtitles and Translation in Wowza Streaming Engine]]></title>
      <link><![CDATA[https://www.wowza.com/blog/real-time-subtitles-and-translation-in-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">0aef92b5-62e6-4048-a786-ec955bc753b7</guid>
      <pubDate>Wed, 19 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza has released a developer guide demonstrating how to implement real-time subtitles and language translation in live streams using its Streaming Engine and Flowplayer. This advancement enables developers to deliver more accessible and globally reachable live video experiences, meeting increasing industry demand for inclusivity and localization.]]></description>
      <content:encoded><![CDATA[Wowza has released a developer guide demonstrating how to implement real-time subtitles and language translation in live streams using its Streaming Engine and Flowplayer. This advancement enables developers to deliver more accessible and globally reachable live video experiences, meeting increasing industry demand for inclusivity and localization.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[How MDOT Streamlines Statewide Traffic Video with Wowza Streaming Engine]]></title>
      <link><![CDATA[https://www.wowza.com/blog/mdot-traffic-video-wowza-streaming-engine-case-study-overview]]></link>
      <guid isPermaLink="false">0d716ba1-017e-46e6-a73b-757fa09e47a9</guid>
      <pubDate>Fri, 14 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Mississippi Department of Transportation leverages Wowza Streaming Engine to build a programmable, scalable, and reliable traffic video network that enhances road safety and traveler information. This deployment showcases how advanced streaming infrastructure can improve public sector video delivery and coordination in real time.]]></description>
      <content:encoded><![CDATA[Mississippi Department of Transportation leverages Wowza Streaming Engine to build a programmable, scalable, and reliable traffic video network that enhances road safety and traveler information. This deployment showcases how advanced streaming infrastructure can improve public sector video delivery and coordination in real time.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[Setting Up Your First Live Stream with Wowza Streaming Engine]]></title>
      <link><![CDATA[https://www.wowza.com/blog/setting-up-your-first-live-stream-with-wowza-streaming-engine]]></link>
      <guid isPermaLink="false">786a11ee-8e20-46b3-8ff8-0f7af061c123</guid>
      <pubDate>Wed, 12 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[Wowza has released a detailed developer guide to help professionals quickly set up a complete, scalable live streaming pipeline using the Wowza Streaming Engine. This resource simplifies live video deployment, addressing common challenges developers face in delivering robust streaming architectures.]]></description>
      <content:encoded><![CDATA[Wowza has released a detailed developer guide to help professionals quickly set up a complete, scalable live streaming pipeline using the Wowza Streaming Engine. This resource simplifies live video deployment, addressing common challenges developers face in delivering robust streaming architectures.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
    </item>

    <item>
      <title><![CDATA[How To Optimize Video Streaming At Scale with Wowza & Graviton]]></title>
      <link><![CDATA[https://www.wowza.com/blog/how-to-optimize-video-streaming-at-scale-with-wowza-graviton]]></link>
      <guid isPermaLink="false">90cffc84-7fa8-4431-82c7-65ba49fe35b6</guid>
      <pubDate>Wed, 05 Nov 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[]]></category>
      <description><![CDATA[A recent webinar featuring AWS and Playtech experts discussed the shift from traditional x86 to ARM-based AWS Graviton processors in streaming infrastructure, emphasizing Graviton's superior efficiency, performance, and cost savings for compute-intensive video workflows. This transition represents a significant advancement for streaming video professionals seeking scalable and optimized infrastructure solutions.]]></description>
      <content:encoded><![CDATA[A recent webinar featuring AWS and Playtech experts discussed the shift from traditional x86 to ARM-based AWS Graviton processors in streaming infrastructure, emphasizing Graviton's superior efficiency, performance, and cost savings for compute-intensive video workflows. This transition represents a significant advancement for streaming video professionals seeking scalable and optimized infrastructure solutions.]]></content:encoded>
      <dc:creator><![CDATA[Wowza]]></dc:creator>
      <author><![CDATA[Wowza]]></author>
      
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