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NEWSCASTSTUDIO.COM
Technology vendors examine how arti-
ficial intelligence affects workforce devel-
opment and industry collaboration in this
final installment of the Industry Insights
roundtable on AI and emerging tech.
The discussion explores the evolving
skill requirements for broadcast profes-
sionals as AI automation reshapes tra-
ditional roles. Industry experts address
implementation challenges, from infra-
structure costs to staff training needs,
while highlighting the importance of part-
nerships between broadcasters and tech-
nology developers.
The conversation also examines of-
ten-overlooked aspects of AI integration,
including ethical considerations, data gov-
ernance and the need for clear standards
in handling AI-generated content.
What impact do emerging technologies
have on job roles and skills required in
production teams?
Bob Caniglia, director of sales opera-
tions, Americas, Blackmagic Design: The
goal of AI-powered technology should be
to empower creativity, not replace cre-
atives. By using AI and machine learning
to streamline workflows and eliminate re-
petitive tasks, production teams will have
more bandwidth to learn new skills and
focus on the creative aspects of the job,
including storytelling. Time is a scarce
resource in the broadcasting world, and
these tools help make it more plentiful.
Ken Kobayashi, business manager,
Sony Electronics: It can be challenging to
hire skillful camera operators in a short
period or train existing operators in a
short period. AI-powered camera track-
ing is becoming more and more accurate
and trustworthy, with enhanced automat-
ed capture options like tracking multiple
people or registered face tracking, which
supports higher production values, pro-
vides additional engagement, and simpli-
fies operation.
Costa Nikols, strategy advisor, media
and entertainment, Telos Alliance: The
rise of AI and machine learning places
new skills demands on production pro-
fessionals. While traditionally manual-in-
tensive processes like quality control can
be assisted by machine learning tools,
users are beginning to take ownership of
more data-driven tasks that require them
to engage with, and understand, new data
outputs and manage automated and virtu-
alized workflows. This evolution demands
a blend of digital-ready intuition and deep
technical expertise — teams should blend
forward-thinking
technology
adoption
with trusted, reliable systems to carve a
balanced innovation roadmap.
Simon Parkinson, managing director,
Challenges emerge as AI
transforms workforces
ROUNDTABLE
• Workforce evolution: AI automation
of routine tasks creates opportunities
for broadcast professionals to focus on
creative work and develop new technical
skills.
• Training: Organizations must develop com-
prehensive training programs and foster a
culture of continuous learning to help staff
adapt to AI-driven workflows.
• Implementation: High costs, techni-
cal complexity, and lack of specialized
expertise remain significant barriers to AI
adoption in broadcast operations.
• Collaboration: Direct partnership between
broadcasters and technology developers
enables creation of practical solutions that
address real-world broadcasting produc-
tion challenges.
• Standards: Industry requires clear frame-
works for data governance, ethical usage,
and intellectual property rights related to
AI-generated content.
KEY TAKEAWAYS FROM ROUNDTABLE
Continued on next page