NEWSCASTSTUDIO.COM
tedious tasks such as transcription, trans-
lation, and summarization. This not only
speeds up production but allows news
teams to focus more deeply on research
and improve accuracy and turnaround
time.
Bob Caniglia: Innovative AI-driven tech-
nologies are driving greater efficiency in
news gathering and reporting by automat-
ing repetitive tasks and optimizing work-
flows. AI tools, like automatic transcrip-
tion and smart sorting, enable journalists
to manage content faster and improve ac-
curacy under tight deadlines. This allows
news teams to dedicate more time to in-
depth reporting and delivering compelling
stories to their audiences.
What are the potential challenges of
integrating AI in newsroom workflows?
Peyton Thomas: While many may ar-
gue that integrating AI in the newsroom
removes human-manned jobs, I believe it
can be used to automate repetitive tasks
while creating an opportunity for end-us-
ers to be more creative and try things they
haven’t been able to do before.
Yang Cai: From a newsroom perspec-
tive, integrating AI can be challenging due
to concerns about maintaining journalis-
tic integrity and ensuring the accuracy of
AI-generated content. Compatibility with
existing newsroom systems and work-
flows may require significant technical
adjustments. There’s also apprehension
among journalists about balancing auto-
mation with editorial oversight and pre-
serving the human element in reporting.
Jordan Thomas: Adopting AI driven
technology within newsroom workflows
requires overcoming resistance to change
and ensuring seamless integration with
existing systems. Another fundamental
challenge is addressing ethical use of AI
and ensuring that it is not misleading view-
ers. This is particularly the case when it
comes to video and audio content that may
be altered by AI tools.
Steve Taylor: There are certainly two big
challenges that we hear about a lot. One is
the trust factor for the content workflow
— the question of whether information is
coming from a legitimate source or if it
was generated by AI? Second is whether
the output of AI is breaking any copyright
or licensing contracts, such that it is not
legally seen as new content owned by the
person who requested AI to generate it.
This this will keep lawyers busy for a long
time!
Sam Bogoch: Challenges include adapt-
ing legacy systems to integrate with AI
tools, although increasingly the AI tools
can catalog existing media and storage
repositories (both on-premise and cloud).
Training staff to take full advantage of rap-
idly-evolving AI capabilities is also critical;
even the best technical solutions have lim-
ited value if there isn’t buy-in and adoption
from the wider team.
What are the biggest barriers to adopting
AI in broadcast production?
Siddarth Gupta: Adopting AI in broad-
cast production often requires extensive
infrastructure and specialized talent, both
of which drive up implementation costs.
Models trained on limited or non-rep-
resentative data can often struggle with
real-time scenarios, leading to out-of-dis-
tribution (OOD) errors. These compound-
ing technical and financial hurdles have
forced broadcasters to rigorously scruti-
nize and justify their potential ROI before
committing to AI implementation.
Yang Cai: The biggest barriers to adopt-
ing AI in broadcast production include
high implementation costs, the complexity
of integrating AI with existing workflows,
and a lack of technical expertise among
staff. Additionally, concerns about data pri-
vacy, reliability, and resistance to change
within organizations can hinder adoption.
Overcoming these challenges requires in-
vestment in training, infrastructure, and
building trust in AI solutions.
Kathy Klinger: Ensuring quality and au-
thenticity remains a challenge, as AI lacks
the nuanced understanding and emotional
depth of human creators. Ethical and legal
concerns, including intellectual property,
data privacy, and bias, further complicate
its adoption, particularly in news and fact-
based content. To navigate these issues,
the industry must balance AI’s efficiency
with human creativity, establish responsi-
ble frameworks, and uphold transparency
to maintain trust and content efficacy.
Jordan Thomas: Often, a lack of tech-
nical expertise and concerns about job
displacement may hinder full-scale adop-
tion, however, this can be overcome by
preparing and providing insightful training
to workforces. One misconception is often
the barrier of cost and complexity of inte-
grating AI-driven tools. However, this isn’t
always the case. Solutions like QuickLink
StudioEdge utilizes AI-technology pow-
ered by Nvidia to enhance video and au-
dio quality of remote guest contributions,
offered at no additional cost, and can be
seamlessly integrated into workflows.
Ken Kobayashi, business manager,
Sony Electronics: One of the biggest bar-
riers in camera operation is the “skills
transfer.” Customers already have their
own established or inherited skills, and
sometimes they don’t want to use auto-
mated features such as auto-focusing. If AI
cameras have room to train or implement
customer’s skills about PTZ speed/fram-
ing etc. through deep-learning algorithms
in the future, they would be more widely
used in broadcast production.
What role does AI play in improving live
event production and broadcasting?
Yang Cai: AI enhances live event pro-
duction and broadcasting by enabling re-
al-time analytics, automated camera con-
trol, and intelligent content curation. It
improves viewer experience with features
like real-time language translation, per-
sonalized recommendations, and adaptive
bitrate streaming. AI also assists in de-
tecting and correcting errors during live
broadcasts, ensuring seamless delivery
and high-quality output.
Kathy Klinger: AI enhances live event
production and broadcasting by optimiz-
ing workflows and enabling real-time ad-
justments to improve both quality and
efficiency. It can automate tasks such as
camera switching, highlight detection, and
audience analytics, allowing production
teams to focus on creativity and storytell-
ing. This combination of automation and
insight elevates the viewing experience
and ensures events reach audiences with
greater impact.
Zeenal Thakare: Broadcasters and live
event productions are going to focus on
creating more refined and engaging con-
tent. What that means is faster reaction
times during live events, as well as im-
mersive and interactive experiences. AI
is helping push the boundaries in the art
Continued on next page
Adopting AI in broadcast
production often requires
extensive infrastructure
and specialized talent,
both of which drive up
implementation costs.