AI continues to transform every industry it touches, and broadcast media is no exception. Already available within Asia, broadcast news stations such as Arirang TV in Korea and CCTV in China use DeepBrain AI's Virtual Humans, known as AI Anchors, to augment the regular newsfeed with AI specials, breaking news, and hourly updates throughout the day. "I will just write up an article, and she (Virtual Human) can deliver it right away," stated Moon Connyoung, Principal News Anchor and Managing Editor at Arirang News. The video synthesis technology from DeepBrain AI has applications across many different industries, including media, banking, education, and customer service. "DeepBrain AI's solutions have already been deployed at banks, retail stores, and TV stations across Asia. I am excited to bring our technology to the US and the 2022 NAB Show," stated Eric Jang, CEO of DeepBrain AI.

NAB Show is debuting a new program called "Get Ready for Machine Learning and Artificial Intelligence." It's part of the Next-Generation Media Technologies Conference and is scheduled for Tuesday, April 10, 9 a.m.–12 p.m. The program features six sessions that highlight the ways machine intelligence is impacting content creation, according to NAB. "Machine and deep learning and artificial intelligence have the potential to dramatically transform content creation," said NAB EVP of Conventions and Business Operations Chris Brown. "We're looking forward to hosting some of the industries' leading creatives and technologists as they reveal how neural networks and other advancements are enabling production techniques previously thought impossible." The sessions will kick off with "The Evolution of Content Production Aided by Machine Learning" by Amazon Web Services WW Technical Leader for Media and Entertainment Usman Shakeel.

Murali Rao, global head of cybersecurity and risk consulting for Wipro, is sympathetic to those charged with mitigating cyber threats inside media and entertainment organizations. Too often they don't have all the necessary data needed to find out what went wrong, or predict what can go wrong. "It's like asking a soldier to fight with two hands tied," he said, speaking April 26 at the NAB Show's Cybersecurity Pavilion. That's where machine learning and applied AI can be useful, or as Wipro likes to call it, a cohesive "Cognitive Cyber Defense" framework, one that can help enterprises maximize the investments they've made in cyber threat mitigation. If cyber threat analysts are to understand the threats against their organizations, they need all the tools in front of them to actually analyze what's confronting them, Rao said, and that includes gathering the necessary data from other associated stakeholders.