Asia-Pacific Broadcasting (APB) @ConnecTechAsia Show News - Day 3 | Page 41
@ConnecTechAsia2018
Gregor Erlitz
Head of Sales,
Asia-Pacific, Lawo
❝ Everybody is talking about
the move to IP, but the big
question is really how fast
is that going to happen,
what kind of tools are there
to support the move to
IP, and how to bring both
transparency and confidence
media companies have had
in SDI infrastructures into the
IP network world.
And because we have
two worlds merging
together — broadcast
engineering and the IT
departments — to bridge
the gap, operators need
advanced tools to help them
virtualise their network ❞ .
Jason Li,
Sales director,
North East Asia & SEA,
Imagine Communications
❝ In terms of technology,
most the of people here are
still show ing their traditional
solutions. Although there are
some key exhibitors high-
lighting 4K, in this part of the
world there are only a few
early adopters. I don’t think
the market or the industry
here are ready for a big
deployment of 4K yet. It may
take at least three to five
years, so just wait and see. ❞
www.apb-news.com
28 June 2018
Amnouy Chantarise
(pictured on left),
BLUESKY Channel,
Thailand
❝ I believe we can
use some of the new
production products
we’ve seen at the show
like the cameras, switchers
and microphones —
equipment that can be
used for our work in
TV production. We are
also looking into OTT
solutions. ❞
THURSDAY 41
Kriengkai
Ratchatamu -
kayanant
(pictured on
right),
Managing
Director, Thaiload
Dot Com Co
❝ I came to
BroadcastAsia 2018
to look into live
production and
video streaming
solutions. ❞
AI leading the move to
personalisation of content in
Asia-Pacific
BY DEEPAKJIT SINGH
In the cult-classic Rashomon, the
viewer is offered three different
interpretation of the events. Now,
artificial intelligence (AI) is power-
ing thousands of unique endings in
the short film The Moment.
In many ways, both these films
are tackling the same content pro-
duction bottleneck — desire for
personalised entertainment. While
cloud has enabled content distrib-
utors to scale up at will, content
production and quality control is
still manual in most Asia-Pacific
markets. Machine learning and AI
technology could change this in the
near future.
couple of hours to produce a single
minute of content. This is where AI
can be most useful.
Impact of AI on the industry
As per a Society of Motion Pictures
and Television Engineers (SMPTE)
sur vey, 41% of the industr y
respondents — with more than
40% from Asia-Pacific — aim to
invest more in AI. Considering the
value additions that AI could offer,
this investment would be justified.
Initially, AI could be used for sim-
pler tasks such as performing QC
check or identifying logical ad-in-
sertion points.
In the near future, it may even
be possible to train AI to perform
stylistic cuts based on styles of
cinematic prodigies such as Ang
Lee, or Kurosawa. Viewers could
then simply choose their favourite
style to consume the same con-
tent. With such developments, the
nature of the broadcast roles may
also undergo a transformation as
❝ The shift
to AI would
fundamentally
change how
we consume
content. ❞
— Deepakjit Singh,
CEO of Amagi, who is exhibiting
at BroadcastAsia2018,
booth 4F5-02.
the focus changes to training the
machine learning modules, rather
than focusing on individual content
processing or monitoring tasks. The
freed-up resources could be used
to design more innovative content
Content explosion in
experien ces, such as offering a cus-
Asia-Pacific
tomised final production of library
Asia-Pacific is brimming with
or live content.
new content creators, and mas-
As was the case with analogue
sive amounts of content is being
to digital transmission shift, fibre
accessed on new-age platforms.
to IP, and on-premises storage
Growth forecasts for the region pre-
to cloud, the shift to AI would
dict that just the subscrip-
fundamentally change how
tion video-on-demand
we consume content. If
(SVoD) market alone would
the march towards a more
contri bute to US$25.71
scalable storage and deliv-
billion by 2022, with nearly
ery was led by cloud and
158 million subscriptions.
IP respectively, AI would be
Now, imagine creating
leading the move to more
different versions of the
flexible and personalised
same video to suit differ-
content experiences. As
ent audience preferences.
with the other technologies,
The expanse of the sheer
first movers will have an
effort is in definitely larger
edge in creating robust
if you consider that an Technologies like AI and machine learning have the poten- content networks on new
average post-production tial to unleash new personalisation opportunities for media platforms.
artist spends close to a companies.