LAS VEGAS — A clear-eyed view of how AI can enhance the ability of TV station operators to manage ATSC 3.0-based networks was offered in a detailed press conference hosted by Sinclair’s ONE Media Technologies held Sunday as the first day of the 2026 NAB Show got underway across the Las Vegas Convention Center.
Present to share how an operator can shift from a model where one individual at each station is charged with managing the air chain was Joonyoung Park, a VP at DigiCAP and the architect of a new artificial intelligence-driven offering designed to assist ATSC 3.0 — the backbone of NEXTGEN TV.
A centralized deployment management system was deployed at Sinclair, to make sure the software in the air chain is up to date. It goes beyond the limitations of a “GUI,” Park noted, as he discussed new automation capabilities demonstrated in DigiCAP’s AIOps for ATSC 3.0.
The tool is best-described as an AI-driven operations layer that represents a rethinking of how operators interact with broadcast systems. It is built on generative AI, LLM integration, and Model Context Protocol (MCP).
“As station groups scale across markets with cloud infrastructure, the traditional dashboard cannot keep up,” DigiCAP says. “Operators hunt for problems in a sea of data, and by the time an issue surfaces it may already be affecting viewers. The next generation of broadcast operations requires more than a cleaner UI. It requires intelligence.”
Also on hand at the press conference was James Willis, NexGen Deployment Manager for ONE Media Technologies, the Sinclair unit pushing ATSC 3.0 deployment across the globe. He’s the end user, and Willis shared how an AIops approach was found to be 80% accurate — and 20% inaccurate.
“I spend a majority of my time investigating issues and troubleshooting what the issue is, and if that can speed up my time then I know it is worth having,” Willis says.
Key Aspects of DigiCAP and AIOps:
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Targeting Complexity: As station groups adopt cloud-native and containerized infrastructures, traditional manual monitoring is no longer efficient; DigiCAP’s AIOps provides analytics to manage this high-volume data.
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Predictive Operations: The offering applies machine learning to operational data, enabling broadcasters to identify, predict, and resolve issues before they affect service.
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Key Leadership: Joonyoung Park, SVP at DigiCAP, is leading these initiatives, focusing on the cloud-native transformation of broadcast operations.
