AI Anywhere: A Video API Approach to Deploying Intelligent Video

Using modern, flexible video tools, organizations can build intelligent media workflows in the cloud, on-premises, and at the edge.

Why Integrating Your Own AI Model Matters

Video teams are under pressure to ship intelligent features (captions, detection, assisted editing, compliance, analytics) without blowing up existing architectures or costs. Builders want control and flexibility, not lock-in.

If you aren’t building these AI tools and workflows into your video tech stack, you’re already falling behind. But, if you’re ready to automate video processing and streamline costs, we have options so you can build what’s best for you. Wowza showcased on-device captioning and object detection, hybrid/edge workflows, and ARM-based efficiency gains at IBC 2025. This reinforces the need for an AI strategy that runs where your workloads do: in the cloud, on-prem, at the edge, or a hybrid approach.

Building and Deploying Intelligent AI Video Workflows with Wowza

Michael Vitale, Wowza’s VP of Product, is hosting a live webinar on Tuesday, October 14 at 10:00 AM MST (11:00 AM CDT) . This session will show you how to embed AI directly into video workflows. Learn how you can run these workflows in the cloud, on-prem, or at the edge without heavy re-architecture. He’ll provide practical guidance on tapping into existing partner integrations, building custom functionality through a Bring Your Own Model (BYOM) approach, and how to tap into existing GPUs to control infrastructure costs at scale. Save your spot now.

From this webinar, you’ll learn how to:

• Deploy AI Video Anywhere: Cloud, on-prem, VPC, or hybrid support while capitalizing on GPUs and ARM hardware for added efficiency.
• Automate Media Ops: Orchestration that plugs into your current ingest-to-delivery stack.
• Build Flexible AI Functionality: BYOM plus integrated partner offerings from industry leaders like Verbit, Roboflow, Azure, and Ultralytics.
• PLUS, a live, real-world demo of Live captions + object detection on Jetson hardware with production constraints in mind.

This session is built for developers, video engineers, architects, and product managers who care about flexibility, customizability, and cutting-edge AI capabilities while prioritizing reliability and cost control.

How Wowza is Powering AI Video Workflows at Scale

At IBC 2025, we:

• Highlighted on-device AI captioning and object detection workflows
• Demonstrated edge deployments on NVIDIA Jetson/ARM
• Discussed hybrid workflows that let you place each component where it’s most efficient.

The theme? Intelligent video that “just works” across environments, with centralized observability and complete control.

This webinar builds on those announcements with a deeper look at how to implement the processes: running AI near cameras for real-time enrichment, processing in VPCs for privacy, or centralizing in cloud for bursty workloads and scale.

The “Video API for AI” Pattern

Think platform, not point tools. The AI Anywhere approach treats AI as first-class within your video infrastructure:

Pluggable deployment

Run workloads in cloud, on-prem, hybrid, or edge. Choose placement based on latency, data gravity, and cost. Edge examples at IBC showed how ARM + Jetson form factors can cut infra costs while keeping latency low.

Model flexibility (BYOM + partners)

Start fast with partners like Verbit, Roboflow, Azure, and Ultralytics, then plug in your custom models for domain-specific detection, redaction, chaptering, or alerts.

Orchestrated media ops

Automate the ingest-process-deliver loop and wire AI steps into your existing pipeline, so detection, captioning, clipping, and analytics run as part of the same workflow.

Developer-centric integration

Use APIs and protocols (including MCP for tool orchestration) to integrate AI where it adds value, not friction. (Webinar coverage will include developer-ready patterns and live demos.)

Example AI Video Use Cases

• Events & venues (cloud-first): Run capture → ingest → AI enrichment → delivery in the cloud for elasticity and reach. Think automated captioning, highlights/chaptering, and moderation as managed services, with global CDN delivery and centralized analytics.
• Monitoring & compliance (all on-prem): Keep video and inference on private infrastructure for air-gapped or sensitive environments. Perform detection, transcription, and redaction locally; optionally export metadata only (events, counts, alerts) to external systems when policy allows.
• OTT/VOD operations & monetization: AI-assisted clipping, chaptering, and highlights to accelerate short-form production, adaptive delivery for all devices, client-side/server-side/server-guided ad insertion for monetization.

What We’ll Cover in the Session (and Expand After)

Deployment blueprints: Cloud, VPC, on-prem, and edge reference patterns with cost/leverage trade-offs.

Model strategy: When to BYOM vs. use an out-of-the-box partner and how to mix both for speed and specificity.

Live AI captions and object detection demos: Running on Jetson with ARM for production-minded constraints.

Predictions: A look at near-term capabilities we’re investing in for intelligent, reliable video at scale.

Register Now

Reserve your seat for “Building Intelligent Video: How to Actually Deploy AI Anywhere with Wowza” on October 14 at 10:00 AM MST (11:00 AM CDT). If you’re building for reliability, cost efficiency, and customizability, this is your deep dive.