In Broadcast - December 2020 - 25

25

www.inbroadcast.com | Vol: 10 - Issue 12 | InReview 2020

InMedia

Forecasting 2021: Data Analytics,
Security, Video Platforms, Delivery
into place. While Sky blazed a trail
with AdSmart for years, these new
solutions go deeper - matching ads at
the individual rather than segment or
household level. This is made possible
by using profiling data and intelligence
gained from AI and ML algorithms to
hyper-segment audiences and build
a detailed picture of individual-level
viewing behaviour over time.
Metadata enrichment will become
even more important in a superaggregated world as it underpins
content
understanding/intelligence,
optimised discovery and viewer
profiling. As this evolves, we will see
the greater application of AI / ML
to generate multi-dimensional tags
that define and explain the DNA of
each asset at a granular level - for
example, the different elements of
a plot, narrative styles, formats and
moods. There is also growing demand
for metadata enhancement in nonvideo assets such as podcasts that are
increasingly being added to service
providers' portfolios. "
Carlos Hernandez,
Chief Revenue Officer, SSIMWAVE
" With big titles moving to premium
SVOD instead of theatrical releases Hamilton comes to mind - video quality
will play a bigger role in differentiating
services. Defining video quality, rather
than simply measuring it, will be
increasingly important. Managing that
relationship between cost and quality
becomes more complex as services
continue to scale to millions of users
in different regions. We think 2021 will
bring a greater need for technology
that can balance bitrate cost and
viewer experiences to optimize
workflow efficiency and subscriber
satisfaction. "

Anil Jain, MD
Media & Entertainment,
Industry Solutions, Google Cloud
" At a foundational level, data is
integral to monitoring and measuring
all of a company's operational facets from marketing to subscribers, content
delivery, revenue, customer care and
engagement. While many companies
have adequate telemetry across all
these data generating actions, it's
commonplace for it to be aggregated
into data warehouses, data marts,
and data lakes, often updated and
accessed in batch processes. The
complexity of unifying and correlating
data often leads to delays in extracting
and analyzing data and changes to
data sources, schemas, or accuracy
can have a ripple effect to the entire
data processing pipeline.
Companies that can quickly and
efficiently transform data into insights
will move into positions of leadership
and
accelerate
their
growth.
This transformation needs to be
automated, predictive, and as close to
real time as possible. To achieve this,
artificial intelligence (AI) and machine
learning (ML) will be critical enablers
for every data opportunity.
*	 From a monetization standpoint,
AI/ML can proactively identify at-risk
subscribers for activation, conversion,
and retention. It can provide best
next actions, through automation of
campaigns or enablement of customer
call centre agents.
*	 For advertising, AI/ML can
identify problematic creatives or
programmatic sources, optimizing
ad targeting, frequency, and pod
durations based on viewing context.
*	 AI/ML can also extend to
measuring visual and audible brand
exposure during live events and pre-

recorded content for digital audiences.
*	 AI/ML can unlock additional
value in content, from automating the
transcription and translation of live
or pre-recorded content to identifying
and labelling shot-by-shot for news,
sports, and narrative content.
Data in and of itself is a great blank
canvas, but actively leveraging AI/
ML will be a necessary means for
companies to paint a picture that
strengthens their relationship with
viewers. "
Nick Thexton,
Chief Technology Officer,
Synamedia
" As consumers we are loyal to
content, not platforms. If you're a
Game of Thrones addict the chances
are you will follow the content to
whatever platform has secured
the rights. For platform operators,
knowing which shows are worth the
investment and which aren't is vital helping to keep subscribers loyal while
protecting and growing revenues. In
2021 we will see operators shift away
from maintaining massive data lakes
and performing basic analytics and
focus instead on deriving insights
about rights utilisation to inform
business decisions and ensure they
are monetising their investments
effectively.
We will see more intelligence
added to caches so they can handle
video processing at the edge, as
well as caching and storage. Moving
just-in-time packaging to the cache
rather than the origin server makes
it possible to support unique copy
playback with a cloud DVR service
- essential for the US market. We
may also see more content providers
following Netflix's lead and introducing

cont'd...

dedicated cache servers into service
providers' networks to ensure a
fantastic viewing experience for their
content as part of an aggregated
model.
As live content streaming grows in
popularity this approach may well
become standard, alongside the use of
multicast ABR and other technologies
for the smooth delivery of multiple
low latency streams as part of service
providers' managed services. "
Andre Christensen,
CEO and Co-Founder,
Firstlight Media
" Dramatic increases in streaming
in 2020 exposed holes in providers'
architectures
and
showed
the
need for quick response to market
changes. We think 2021 is going to
be a breakthrough year for more
flexible cloud-based solutions that can
accelerate time to market, improve
user engagement, and create new
revenue streams much more cost
effectively.
The new wave of cloud innovation
and deployment coming in 2021
will go beyond the limitations even
of cloud-based services that are
already in-market. Our research has
shown that when you have a lighter,
containerized and modular fully cloudbased architecture you reduce time
to market and development efforts
needed for new services or new
features by more than 60-75%.
You also dramatically improve
metrics
like
latency,
compute
consumption, and QoS by similar
ranges. The ability to quickly iterate
and respond to user behaviour makes
a big impact on business performance
indicators like churn, customer lifetime
value, and ARPU. "


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In Broadcast - December 2020

Table of Contents for the Digital Edition of In Broadcast - December 2020

Contents
In Broadcast - December 2020 - Intro
In Broadcast - December 2020 - Cover1
In Broadcast - December 2020 - Cover2
In Broadcast - December 2020 - Contents
In Broadcast - December 2020 - 4
In Broadcast - December 2020 - 5
In Broadcast - December 2020 - 6
In Broadcast - December 2020 - 7
In Broadcast - December 2020 - 8
In Broadcast - December 2020 - 9
In Broadcast - December 2020 - 10
In Broadcast - December 2020 - 11
In Broadcast - December 2020 - 12
In Broadcast - December 2020 - 13
In Broadcast - December 2020 - 14
In Broadcast - December 2020 - 15
In Broadcast - December 2020 - 16
In Broadcast - December 2020 - 17
In Broadcast - December 2020 - 18
In Broadcast - December 2020 - 19
In Broadcast - December 2020 - 20
In Broadcast - December 2020 - 21
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In Broadcast - December 2020 - 23
In Broadcast - December 2020 - 24
In Broadcast - December 2020 - 25
In Broadcast - December 2020 - 26
In Broadcast - December 2020 - 27
In Broadcast - December 2020 - 28
In Broadcast - December 2020 - 29
In Broadcast - December 2020 - 30
In Broadcast - December 2020 - 31
In Broadcast - December 2020 - 32
In Broadcast - December 2020 - 33
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In Broadcast - December 2020 - 35
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In Broadcast - December 2020 - 39
In Broadcast - December 2020 - 40
In Broadcast - December 2020 - 41
In Broadcast - December 2020 - 42
In Broadcast - December 2020 - 43
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In Broadcast - December 2020 - 45
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In Broadcast - December 2020 - 72
In Broadcast - December 2020 - 73
In Broadcast - December 2020 - Cover3
In Broadcast - December 2020 - Cover4
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http://europe.nxtbook.com/nxteu/lesommet/inbroadcast_INREVIEW2016
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https://www.nxtbook.com/nxteu/lesommet/inbroadcast_NABSHOWNYexpo
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