NAB 2023: IBC365 spoke to the SVP of Strategy, Product and Marketing, Chyron on the NAB show floor.
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NAB 2025: Thomas Thomson, Omdia: “Trust is vital. Media organisations trade on trust.”
Thomas Thomson, Senior Analyst, Video Technology at Omdia discusses the importance of trust in media, the tension between app-led and content-led strategies in recommendation discovery and the value of user data and the potential role of AI in delivering personalisation by default.

NAB 2025: Paddy Taylor, MRMC: “Hybrid cloud solutions are reaching a level of maturity”
Combining the flexibility of rapidly maturing cloud solutions with the immediacy and reliability of on prem is an increasingly popular choice, says Paddy Taylor, particularly around video acquisition. However, the wider industry needs to focus on improving education for the next generation of engineers and operators for these advanced technologies, he believes, as current education focuses on traditional live production roles rather than on efficiency and automation, which are crucial for the future.

NAB 2025: Selin Kemal, Mo-Sys: “Virtual production is becoming more accessible”
While virtual production tools and increasingly potent AR solutions are revolutionising and democratising what is possible in live event coverage, Kemal also believes that industry education needs to be improved, especially around mid-career training rather than chasing the latest technology chimera.

NAB 2025: Backlight’s Kathleen Barrett on the growing importance of dynamic MAMS
With the industry pushing beyond the realms of traditional media and entertainment, where everyone is a content creator, Kathleen Barrett, CEO at Backlight has seen a growing demand for reliable and flexible media asset management solutions (MAMS).

NAB 2025 – Jan Weigner, Cinegy: “AI keeps me up at night, in a positive and sometimes in a negative sense”
AI is delivering real and transformative benefits, especially in the areas of speech-to-text for real-time subtitle generation and enriching metadata using larger language models. However, those benefits need to be weighed against the broad implications of AI on the industry and society, with concerns including job roles, intellectual property, data security, and ethical considerations.