In Broadcast - InShowguide 2019 - 66

www.inbroadcast.com | IBC2019 InShow Guide | 13-17 September

Applying AI From Creation
to Analysis Fuels Revenue
Today's media and entertainment companies have more content
in their libraries than ever, says Ashley Bailey, Veritone
Product Marketing Manager, Media & Entertainment...

hose libraries hold incredible
revenue generating potential, but
capitalising on that potential means
capturing every detail of every asset
along the way in the form of ubergranular metadata, and then mining
that metadata at every turn.
But that level of asset management
has long been easier said than done
because even the most well-funded,
well-staffed M&E companies don't
have the resources it requires.
Thankfully, advanced digital asset
management technologies can apply
AI-powered cognitive processing in
all key phases of the content lifecycle.
And that means more incremental
revenue opportunities.
Create: The path to monetisation
starts at creation. As the content
is being ingested and transcoded,
cognitive
processing
extracts

comprehensive and intelligent
metadata from each asset, making
it faster and more efficient to
find relevant clips. For example,
Veritone's aiWARE calls upon facial
recognition, object recognition,
audio
fingerprinting,
OCR,
translation, and more to tag each
asset - which paves the way for you
to maximise future utilisation.
Manage: Powered by AI, a
centralised depository helps you
manage, share, and index media
offerings automatically. The key is
an advanced cognitive ecosystem
leveraging multiple AI engines such
as facial recognition, object and logo
detection, and voice, location, and
sentiment recognition integrating
seamlessly with digital media archives.
Deliver: In today's increasingly
fragmented media environment, it's all

A centralised depository helps manage,
share, and index media offerings

about getting the right content to the
right audience in the right format at
the right time. With AI-powered digital
asset management, your stakeholders
can download assets rapidly and
securely. Likewise, you can easily
share assets with specific recipients,
protected by explicit permission
controls.

Build Your QoE Dashboards
with Perfect KPIs
Announced 18 months ago, Datalab is Witbe's revolutionary
reporting interface...

Monetise: If AI is on the job
starting at ingest, then this stage of
the lifecycle - generating revenue becomes much easier because there's
granular metadata built into every
asset. Importantly, AI-enabled systems
make your content much more
searchable, helping to uncover your
entire project so you can monetise
every frame. That means there's
potential for continuous monetisation
through licensing, digital publishing,
claiming strategies, and other
consistent revenue streams.
Analyse: Continual AI-driven
analysis makes it possible to take
full advantage of your library.
For example, you and your
stakeholders can call upon AI to
analyse broadcasts for product
placements, in-venue sponsorship
inclusions, and feedback for talent
on specific scenes. Since each asset
has been automatically tagged
with metadata, it's simple to analyse
content and glean valuable insights.
If you apply AI at every point in the
content lifecycle, from creation to
analysis, then that content can be
tracked, parsed, used, and reused in
nearly infinite ways, creating lucrative
revenue streams.
See Veritone on stand 5.C24.
www.veritone.com

false negatives coming from device
errors, maintenance windows or other
external factors.
What's next for Datalab? Alarming
has always been a core feature of the
Witbe Suite. The new Hub alarming,
natively integrated into Datalab,
takes this feature to the next level,
by enabling anyone to create the
alarms they need and receive them
the way they want - all thanks to
a revolutionary powerful engine.
Smartping, Witbe very first algorithm
- launched in 2001 - dedicated to
measuring network routes quality,
is now also integrated to Datalab. To
celebrate this long overdue reunion,
Smartping widget now comes in two
different flavours: the classic network
map, and the new streams layout.
See Witbe at stand 5.A69.
www.witbe.net

t is dedicated to dashing
end-users, or even enforce
fast fault-finding, superSLAs with CDNs and other
easy root cause analysis and
third parties.
powerful advanced analytics.
How do you handle false
Datalab enables hundreds
negatives? There are a lot
of
broadcasters,
content
of things that make Witbe
providers and operators,
robots smart, but robots
around the world, to create
are automated systems
the perfect Dashboard for
doing end-to-end testing
their team - from C-level
and once in a while they
analytics, to engineering and
may measure one KPI
Witbe's Smartping algorithm is now integrated to Datalab wrong, like when services
QA troubleshooting.
What kind of KPIs can be displayed without reference and in real-time). go under maintenance or
in a Datalab dashboard? Content QA teams, running regression when they are upgraded to a
providers, offering VoD assets on campaigns of hundreds of test cases, new version with a fresh UI.
mobile, web and streaming media can build their perfect dashboards, Thanks to the Hub feedback
boxes on dozens of platforms, summarising the status of each tests, loop, users are able to
can build their perfect dashboard, and even integrating logs gathered on use Datalab to manually
gathering assets' availability, video every device. And with the new Hub confirm or discard every KPI
start-up time trends, or even VQ-MOS Connector, OTT players can now build measured in scenarios in
quality KPIs (a 10-year R&D effort in their perfect dashboard, gathering all the blink of an eye. Datalab
psycho-acoustic and psycho-visual the OTT KPIs they need to understand dashboards now only contain
analysis of video streams that works how their service is delivered to their relevant
KPIs,
without
Datalab dashboards only contain relevant KPIs

http://www.inbroadcast.com http://www.veritone.com http://www.witbe.net

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