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LiveU Continues To Drive Innovation In Dynamic 5G Network Slicing Trial February 2nd 2023 - 10:30 AM

Leading industry partners collaborate to push forward 5G dynamic slicing for live content contribution.

Orchestrating Resources For Large-Scale Events: Part 3 - Contribution & Remote Control January 31st 2023 - 09:00 AM

A discussion of camera sources, contribution network and remote control infrastructure required at the venue.

Capturing Nitin Sawhney’s Ghosts In The Ruins January 27th 2023 - 09:30 AM

The 2022 City of Culture festival concluded with a performance created by Nitin Sawhney CBE. Filmed on the URSA Broadcast G2, an edited broadcast of Ghosts In The Ruins aired on the BBC.

Orchestrating Resources For Large-Scale Events: Part 2 - Connecting Remote Locations January 24th 2023 - 09:00 AM

A discussion of how to create reliable, secure, high-bandwidth connectivity between multiple remote locations, your remote production hub, and distributed production teams.

Orchestrating Resources For Large-Scale Events: Part 1 - Planning Is Everything January 10th 2023 - 09:00 AM

An examination of how to plan & schedule resources to create resilient temporary multi-site broadcast production systems.

10 Things You Need To Know To Succeed In TV December 28th 2022 - 09:30 AM

In television, ‘talent’ isn’t just the people in front of the camera. Everyone working at a station needs talent, dedication, initiative, and team spirit to succeed.

The Experimental Private 5G Network-in-a-Box December 23rd 2022 - 09:00 AM

New ‘Private 5G In A Box’ technology coupled with low orbit satellites has huge potential for high bandwidth contribution in remote areas.

2023 Looks To Be A Year Of Continued Efficiency And Advanced Workflows December 21st 2022 - 09:00 AM

Michael Grotticelli shares his personal take on the most significant changes in technology, workflow and business in 2022 and his predictions for what may lay ahead.
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Global Viewpoint

The Future Of ML February 2nd 2023 - 09:30 AM

As more copyright owners are using litigation to take on the might of the machine learning commercialization, what will be the future for ML?

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