10/15/2026
AI can automate a task. But can you afford to run it across thousands of hours of content? Can you control where your media goes? And can you trust how AI operates within your production workflows?
As AI moves from experimentation into everyday media operations, these questions are becoming just as important as what the technology can do.
In our latest blog, Rich Andes explores Telestream’s approach to Practical AI, built around three essential considerations:
💵 Cost: Making AI economically sustainable at scale, with flexible deployment options, customer-managed GPU resources, and predictable licensing for locally deployed capabilities.
⚙️ Governance: Combining AI intelligence with Vantage workflow automation to maintain control over processes, outputs, and where human oversight is needed.
🔐 Sovereignty: Giving organizations the flexibility to process sensitive media within their own infrastructure, including secure, air-gapped environments, while choosing when external AI services make sense.
The goal isn't simply to add more AI capabilities. It's to make intelligence a reliable part of everyday media operations, whether that's generating metadata during live capture, accelerating content discovery, or automating downstream processing.
Practical AI means solving real media challenges while maintaining control over the economics, the workflow, and the content itself.
Read the full blog 👉 https://bit.ly/3VQVUjl
Explore the Vantage Iconik MAM connector for tackling lip sync issues in media QC, ensuring a seamless viewing experience.