AI in Media & Broadcast – Professional Essentials Guide

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OF EXPERTS

of possibility by empowering productions

with new tools that aid creativity while be-

ing efficient. 

Ken Kobayashi: AI-enabled camera

tracking facilitates the operation of mul-

tiple cameras at an event location or stu-

dio with minimal camera operators. AI is

a cost-effective technology for creating

efficiencies, and when embedded in pan-

tilt-zoom cameras it enables consistency

and quality that can seamlessly scale to

multiple cameras.

Costa Nikols: From an audio perspec-

tive, emerging AI-driven algorithms can

help optimize audio levels, crowd noise,

and enhance speech clarity in real time,

empowering broadcasters to offer more

refined live event experiences for TV

viewers. Personalization is another poten-

tial game-changer. Through a mix of new

AI-supported methodologies and Next

Generation Audio technologies, broad-

casters can more easily offer tailored au-

dio streams, such as alternative commen-

tary, language tracks or amplified dialogue

based on device and viewer preferences.

Sam Bogoch: AI can enhance live pro-

duction by automating tasks such as cam-

era angle selection, logo and face rec-

ognition, scene switching, and real-time

analytics. This allows production teams

to focus on creative decision-making

while ensuring seamless and dynamic live

broadcasts.

Noa Magrisso: It automates camera

switching, directs cameras to the most en-

gaging scenes, and improves audio quali-

ty through real-time noise reduction for

clearer sound. AI also generates real-time

graphics or overlays for stats, live updates,

and interactive polls, boosting audience

engagement. Additionally, it enables seam-

less multilingual support with real-time

translation and automates captioning for

accessibility. 

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