Media & Entertainment

Stream, create, and monetise content with AWS.

16 sessions at the summit3 external resources

Overview

AWS Media Services provide a complete pipeline: AWS Elemental MediaLive for live encoding, MediaPackage for origination, MediaConvert for VOD, MediaTailor for personalized ads, and Amazon IVS for low-latency streaming. Generative AI is transforming content creation — Amazon Nova Reel for video generation, Amazon Nova Canvas for images, and partner solutions for VFX and post-production.

Key concepts

  1. Live vs. VOD streaming architectures
  2. DRM, watermarking, and content protection
  3. Personalized ad insertion (SSAI)
  4. Cloud-native production and remote editing
  5. Generative AI in creative pipelines

Key AWS services

  • AWS Elemental MediaLive
  • AWS Elemental MediaConvert
  • Amazon IVS
  • Amazon Nova Reel

Learn more — curated resources

Hand-picked official docs, foundational papers, and the best community guides for going deeper on this topic.

Sessions on this topic

16 sessions from the Summit covered this topic. Each is a self-contained mini-lesson.

  1. DEV204Intermediate

    AI-Powered EKS Troubleshooting with AWS DevOps Agent

    Managing EKS clusters means correlating logs, metrics, IAM policies, and network configurations under pressure. The AWS DevOps Agent, announced at re:Invent 2025, changes this workflow fundamentally. In this session, you'll watch a live demonstration where the DevOps Agent autonomously investigates an EKS service failuretracing issues from Pod logs through VPC Security Groups without manual intervention. You'll learn how the agent correlates cross-service dependencies, generates verified remediation plans, and integrates into existing SRE workflows.

  2. DEV207Intermediate

    Data Observability Without the Pain - Lessons from a Production System

    Modern IoT platforms are inherently data platforms. Events flow through APIs, queues, AWS Lambda Serverless functions, storage systems, and device networks before becoming meaningful data. When something goes wrong, tracing a single event across these distributed components quickly becomes painfuland the question shifts from _what happened_ to _where do I even start looking Ill walk through three practical observability patterns drawn from building and operating a production, event-driven IoT healthcare platform on AWS that processes tens of thousands of device events daily. Using OpenTelemetry, AWS X-Ray and Honeycomb, well explore techniques for gaining visibility into asynchronous event pipelines, correlating activity across services, and tracing events as they move through distributed systems. Youll leave with three concrete patterns you can apply immediately to your own event-driven data systems.

  3. DEV304Advanced

    Building Agentic AI: Amazon Nova Act and Strands Agents in Practice

    Explore practical applications of Agentic AI through two real-world case studies. First, dive into a Hong Kong weather agent built with Amazon Nova Act, featuring conversation flow design and meteorological data integration. Watch a live demo showcasing natural language interaction for weather information retrieval and trend analysis. Next, discover a mathematics teaching AI agent developed using the Strands Agents framework, demonstrating personalized math video creation through automatic content generation. Both cases include comprehensive code demonstrations, providing developers with concrete references for AI agent application development on AWS.

  4. STP302Advanced

    Unleash Live: Cloud-Powered Vision for Infrastructure

    What happens when live video meets AI and the scalability of AWS This session explores how Unleash live harnesses AWS to deliver real-time vision analytics, moving from ingestion to insight in milliseconds. We detail the architecture of cloud-native pipelines that process live streams at scale and apply custom computer vision models across the energy, security, and infrastructure sectors. By combining edge connectivity with AWSs elastic infrastructure, Unleash live transforms drone and CCTV feeds into actionable intelligence. Attendees will gain insights into key design decisions and learn how cloud-based AI optimises operations, reduces risk, and unlocks the speed that modern physical AI demands.

  5. AIM301Advanced

    Commbank pioneering AI-driven DevSecOps with AWS DevOps Agent

    CBA is achieving operational excellence by harnessing the power of the AWS DevOps Agent, part of AWS's new Frontier Agents. In this session, discover how CBA is using AI-driven automation to streamline incident response, reduce operational friction, and strengthen resilience across critical systems. We'll discuss CBA's cloud transformation journey and operational challenges, explore the DevOps Agent implementation including architecture, integration, and user journeys, and share results and business impact with real-world metrics. You'll see how automated remediation, and proactive insights are helping teams move faster with greater confidence. Join us to discover how CBA is shaping a future where operations are smarter, safer, and built for scale.

  6. ISV206Intermediate

    Scaling RAG to Millions of Vectors: The Squiz Story

    Squiz, a global Digital Experience Platform provider, is transforming how organizations deliver conversational search experiences. By adopting Amazon S3 Vectors, Squiz reimagined its ingestion pipeline — increasing data processing speed by 50% and shifting from bespoke, always-on infrastructure to a scalable serverless model. This allows Squiz to seamlessly scale from 25,000 to millions of vectors per client, while significantly reducing costs. Hear how this shift freed engineering teams to focus on RAG innovation rather than infrastructure management, and how it powers smart video search capabilities across their platform.

  7. MAE202Intermediate

    Seven's AWS Journey: Streaming Premium Content at the Speed of Innovation

    Join Tim Sheridan, Director of Product & Technology at Seven West Media, as he shares how Seven is leveraging cloud and AI to maximise the return on their most valuable asset — premium live content. With marquee events like the AFL Grand Final and The Ashes cricket series, the stakes couldn't be higher: massive concurrent audiences, critical advertising revenue, and zero tolerance for failure. Tim shares how they leaned on AI-powered developer and business tools to accelerate delivery, de-risk high-profile events, and maximise the return on its premium content investments. Discover how Seven's team transformed their approach to innovation — using cloud-native architecture and AI to achieve speed to market, audience experience, and advertising revenue.

  8. IND202Intermediate

    How Zuru Uses AI to Analyze TikTok Trends for Rapid Content Creation

    For modern consumer brands, winning means moving at the speed of culture. Zuru uses Amazon Bedrock and Twelve Labs to analyze up to 10,000 TikTok videos a day, rapidly identifying viral trends, emotional cues, and content patterns to create creator briefs in hours instead of weeks. Join this session to see how AWS gives Zuru a measurable edge, from 30 million organic views in seven days to 50x faster content creation, with industry peers now looking to replicate its speed-to-market advantage.

  9. STP301Advanced

    AI-Native Remediation with Pleri: Your Security Engineer That Ships

    Most security tools find the problem and hand it to a human. Plerion closes the loop. In this talk, we'll show how Pleri, our AI security engineer powered by Amazon Bedrock, takes a critical cloud risk from detection to remediation without the alert-ticket-backlog cycle. Watch a top risk get prioritized, a ticket filed, a PR opened, and code-level remediation land in your environment. Re-define what it means to have an AI teammate that does the work, not just alerts and reporting.

  10. INO203Intermediate

    Behind the curtain: How Amazons AI innovations are powered by AWS

    Discover how Amazon leaders across Zoox, Prime Video, and Amazon Stores are leveraging AI to power their next-generation innovations with AWS and create better experiences for customers. Through three key stories discover how customer needs sparked transformative experiences: fan feedback revolutionising sports broadcasting with AI-powered highlights, shopping patterns evolving Amazons mobile commerce platform, and robotics and automation delivering advances in supply chain optimisation and fulfillment. Learn the best practices Amazon has applied using AWS that can help scale innovation in your organisation.

  11. MAE205Intermediate

    AI at Speed of News: Unlocking Value from Media with Generative AI

    For media and communications organizations, the ability to rapidly discover, repurpose, and distribute content across platforms directly impacts revenue and audience engagement. This session examines how Generative AI is transforming content operations through intelligent metadata extraction, semantic search, and automated workflow orchestration. Using a case study from a global media organization managing 13 petabytes of content growing at 3,000 hours daily, we'll explore practical implementations using Amazon OpenSearch for multimodal retrieval, Amazon Neptune for knowledge graphs, and agentic AI for content assembly. Learn how organizations are achieving faster time-to-market, improved content monetization, and enhanced audience experiences through AI-powered content discovery and recommendation systems

  12. DEV206Intermediate

    AI Isnt Just for Developers: Using Kiro CLI & AWS MCP for Cloud Ops

    You cant turn your head sideways without seeing a slew of articles, blogs, or videos about AI, and most of them focus on developer tooling and writing code. But AI isnt just for developers. Its an incredibly powerful tool for operations folks, too.In this lightning talk, Ill share how I use Kiro CLI and the Kiro console with AWS Model Context Protocol (MCP) integrations for day-to-day cloud operations. From information gathering and log analysis to reporting and IAM policy interpretation, these tools help reduce cognitive load and speed up your output when working with AWS environments.Ill also discuss how I used Kiros spec-driven development approach to build a Python-based reporting tool, despite not being a software developer.This session is designed to make AI tooling feel approachable and practical for anyone working in AWS — not just developers.

  13. DEV208Intermediate

    Production-Grade Platforms: Real-World IaC Practices on AWS

    Managing infrastructure as code sounds straightforward until you're wrangling hundreds of modules across multiple teams and accounts. In this session, a Platform Engineer and Lead Architect share hard-won lessons from building and scaling IaC platforms at large organisations — covering module composition strategies, state isolation patterns, and CI/CD pipelines that keep deployments safe and reproducible. You'll walk away with practical design patterns you can apply immediately, whether you're laying the foundations of your first landing zone or untangling a sprawling estate that's grown faster than its architecture.

  14. MAE204Intermediate

    How Amazon Ads Creative Agent uses AWS to democratize ad creation

    Media advertisers see up to 25% higher engagement when delivering custom creative to relevant audiences, yet producing quality video ads traditionally requires weeks of expensive and specialized expertise. Discover the inner workings of Amazon Ads new AI Creative Agent, and how it's transforming the creative process by automating and enhancing the generation of multi-format ads to businesses regardless of their size or creative expertise. Explore how Amazon Bedrock, custom-built ML models, GPUs, and model evaluations are used to orchestrate and generate compelling ad creatives into full video productions with professional voiceovers from conversational natural language, while reducing creative development time.

  15. SMB203Intermediate

    From Vision AI to Agentic AI: Real-Time Ops & Compliance in QSR

    Fingermark's Eyecue platform turns drive-thru video feeds into real-time operational intelligence for some of the world's largest QSR brands. Using hybrid edge-cloud architecture on AWS, they track every customer journeycapturing precise timing at order points, windows, and bayswhile keeping sensitive data at the edge. Now they're taking the next leap: agentic AI powered by Amazon Bedrock AgentCore. Autonomous agents automatically answer compliance questions"Are there spills Are staff following food handling protocols"replacing manual audits with continuous monitoring. See how a Kiwi company scaled from local innovation to global impact, and from computer vision to autonomous agents.

  16. SEC501All levels

    Where Big Ideas Live: How to Actually Read Research Papers

    Research papers hold ideas you won't find in any docs, blog posts, or explainer videos. They're also brutal to read, and can leave you frustrated. This talk is about how to actually read one, layer by layer. First what the paper is about, then why it's important, and finally how it works. We'll start with AWS IAM Access Analyzer and it's paper on Stratified Predicate Abstraction. Then we'll work backwards through the research papers it's built on, learning about SMT solvers and Decision Procedures. You'll walk out with a method you can use on any paper, in any field.

Non-obvious insights

From the Playbook

One sharp, contrarian insight per session — the things teams don't think of unprompted.

Agents are best at the boring 80% of incidents. The hard 20% they'll fumble — that's where humans still win. So measure success on *time-to-page-the-human*, not on full autoresolution. The agent's job is to short-circuit the easy stuff and hand off cleanly when it's stuck. ---DEV204 — AI-Powered EKS Troubleshooting with AWS DevOps Agent
The biggest observability win is not tools — it's a *correlation ID standard* the team enforces. Pick one (the X-Ray trace ID is fine), enforce it everywhere, and stop debating. Tooling matters far less than you think once the IDs are consistent. ---DEV207 — Data Observability Without the Pain - Lessons from a…
The Strands SDK pushes you toward stateful conversation patterns by default. That's the right default for most assistant-style agents but the wrong default for stateless task-running agents (e.g., classify this document, extract these fields). Know which kind you're building before you start; the architectural commitment is real. > *Note: this session's source description was truncated mid-sentence. The above is reconstructed from the partial text plus context.* ---DEV304 — Building Agentic AI: Amazon Nova Act and Strands Age…
The hardest part of premium live streaming isn't streaming — it's the *ad insertion* at peak. Ad systems break first under burst load. Test those harder than the video pipeline; that's the actual fragile part. ---MAE202 — Seven's AWS Journey: Streaming Premium Content at th…
50× faster content creation isn't only about AI speed — it's about removing the *approval bottleneck*. When briefs come from data instead of from creative directors, the chain shortens dramatically. The AI is the cover for an org-design change. ---IND202 — How Zuru Uses AI to Analyze TikTok Trends for Rapid …
The risk most teams worry about (the AI ships a bad fix) is rarer than the risk they ignore (humans ignore PR queues that pile up). Auto-remediation works because it forces the queue to drain. Stalled queues are the bigger threat than occasional bad fixes. ---STP301 — AI-Native Remediation with Pleri: Your Security Engi…