AI in Media & Broadcast – Professional Essentials Guide

NEWSCASTSTUDIO.COM

By DAK DILLON

Editor in Chief, NewscastStudio

Artificial intelligence continues to re-

shape broadcast technology, moving be-

yond theoretical applications to practical

implementations across production work-

flows.

In this first installment of a three-part

Industry Insights roundtable, technology

vendors and solutions providers examine

the current state of AI in broadcast.

The discussion explores real-world ap-

plications such as automated captioning,

content tagging and live production assis-

tance. Participants address the opportuni-

ties and challenges facing broadcasters as

they integrate AI tools, from infrastructure

requirements to staff training needs. The

conversation also looks ahead to emerging

AI applications in accessibility, language

translation and workflow optimization.

It’s been a wild year of AI advancements.

Where are we today? How do those apply

to broadcasters and production?

Siddarth Gupta, principal engineer,

Interra Systems:  Over the past year, AI

has made remarkable strides in natural

language processing (NLP), image gener-

ation, and real-time analytics, all of which

continue to reshape how content is pro-

duced and delivered. Broadcasters can

now automate routine tasks like editing,

captioning, and highlight creation, freeing

staff to focus on higher-level storytelling.

As a result, production cycles are faster,

more data driven, and better aligned with

evolving audience preferences.

Bob Caniglia, director of sales oper-

ations, Americas, Blackmagic Design:

While AI was certainly a headline grab-

bing news item this year and has some

far reaching implications, it’s important to

look at how it has already been used for

years to see where it has potential to go. By

leveraging AI-driven tools in post produc-

tion, such as noise reduction, audio classi-

fication, smart reframing, and automated

transcription, broadcasters have achieved

faster edits, precision in storytelling, and

seamless multi-platform content repur-

posing for traditional and social media.

These advancements not only improve

operational efficiency but also inspire cre-

ative possibilities, reshaping how broad-

cast teams approach content creation.

Zeenal Thakare, SVP, enterprise solu-

tions architecture, Ateliere: The appli-

cation of these technologies is going to

speed up workflows by automating script-

ing, generating content and dynamically

building programming slots. In addition,

live production will be revolutionized by

automating many technical aspects, mak-

ing content reach the audience in a faster

and more enhanced manner. Another big

part of broadcast production is accessibil-

ity — leveraging AI to generate real-time

transcriptions in multiple languages and

Where we stand now with AI

for broadcasting, production

Continued on next page

ROUNDTABLE

• Automation: AI technologies now handle

routine broadcast tasks including caption-

ing, metadata tagging, and content index-

ing, allowing staff to focus on creative work.

• Infrastructure: Organizations face signifi-

cant barriers in AI adoption, including high

implementation costs, technical infra-

structure requirements, and the need for

specialized expertise.

• Live Production: AI enhances live broad-

casts through automated camera tracking,

real-time analytics, and automated quality

control systems.

• Integration: Successfully implementing

AI requires careful assessment of existing

system compatibility and comprehensive

staff training programs.

• Development: Future AI applications in

broadcasting focus on improving accessibil-

ity features, expanding language transla-

tion capabilities, and automating content

creation processes.

KEY TAKEAWAYS FROM ROUNDTABLE