OTT and streaming media providers are under increasing pressure to rapidly transform content into multiple video formats, clips, and platform-specific versions optimized for streaming TV, mobile apps, social media, FAST channels, and connected devices. Surprisingly, AI-powered video transformation systems can automatically generate highlights, trailers, captions, and social clips in minutes instead of hours, dramatically reducing production time and operational costs. Manually converting content into multiple formats is expensive, time consuming, difficult to scale, and can produce inconsistent quality, poor contextual understanding, and ineffective viewer engagement across different platforms. This podcast session helps you to discover how AI-powered video transformation tools can automate media processing workflows, reduce costs, accelerate multi-platform distribution, and improve audience engagement and monetization results. 

To get more information about AWS Elemental Inference – Vertical Video AI, go to: AWS Elemental Inference

Topics Covered

• What Is Vertical Video?
• What Surprises Companies About Vertical Video?
• Vertical Video Opportunities for Broadcasters
• What is AWS Elemental Inference?
• How Does the Vertical Video AI Work?
• Who Needs Vertical Video Tools?
• Getting Started with AWS Elemental Inference
• Real-World Workflow: Live Game Example
• Where to Learn More

Steph Lone is a media technology and cloud video processing expert focused on OTT streaming systems, AI-powered media workflows, and cloud-based video transformation platforms. She has extensive leadership and development experience with cloud video pipelines, OTT streaming architectures, and automated media processing systems. She spent 25 years at CBS and Paramount+ supporting large-scale live sports streaming initiatives such as Super Bowl streaming distribution and audience engagement across connected TV and digital platforms. Steph has worked with media technology companies and cloud platform organizations supporting video encoding, transcoding, AI-assisted content transformation, and multi-platform streaming delivery workflows. She has helped organizations improve media workflow automation, accelerate multi-platform content distribution, and optimize cloud-based video processing systems for streaming TV, social media, mobile, and FAST channel delivery. 

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