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