Dejero Demos Cloud-based Workflow With Added AI

The NAB demo showed how Microsoft Azure AI capabilities—including facial recognition, metadata tagging, and speech-to-text functionality—enhance collaboration between traditional newsroom and digital teams to produce stories faster than ever before

The firm explained the cloud-based workflow, where a low-latency live feed from a Dejero encoder was transported over multiple IP connections and received in the cloud by a virtualized receiver. Once in Azure, metadata enrichment and tagging, facial recognition, and speech-to-text functionality was enabled using Azure Media Services Video Indexer, automatically enhancing the live content through artificial intelligence.

"Broadcasters are shifting to IP-based workflows and embracing the cloud for new functionality, beyond storage and distribution,” said Bogdan Frusina, chief strategy and innovation officer and Dejero founder. “We’re showcasing the ability to bring AI to live content at a time when news organizations are creating hybrid digital-traditional newsrooms, and looking for story-production efficiencies. Dejero, with Microsoft Azure, can help newsrooms take advantage of AI and automation to enhance their efficiency in producing content for global audiences across traditional and digital formats.”

The power of cloud-based services to streamline and automate manually intensive tasks—including watermarking, localizing content with translations, and controlling content permissions for distribution—can help take newsroom workflows to the next level of efficiency, saving time, and reducing costs.

“Dejero helps solve the first-mile challenge of getting live content reliably to the cloud," said Sudheer Sirivara, GM, Azure Media, Microsoft. “Once ingested, Microsoft Azure Video Indexer can automatically enrich the content to enhance newsroom efficiency and enable news organizations to truly get ahead of the competition.”

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