GrayMeta Presentation Template
John MotzChief Technology Officer, GrayMeta
Improve Efficiency by Double Digits Leveraging Artificial
Intelligence and Machine Learning
Creation, Distribution & Consumption are all changing
By 2019, 80% of global Internet consumption will be video
content
Source:By 2019, 80% of the World's Internet Traffic Will Be
Videohttp://tubularinsights.com/2019-internet-video-traffic/#ixzz4bcZTaGxVTubularInsights.com,
All Rights Reserved
We have seen in 2016 and early signs already show 2017 wont be
any different
You can be a creator, seller, buyers, channel, broadcaster, OTT
or a Youtube channel
Creation, Distribution, Consumption of data and content is
continuing to be in the rise / incline
More sellers and creators, its not all about theatrical release,
short form is huge and growingBuyers are growing How good is good ?
The amount of time it is taking for content prep and compliance be
it airline, new int. markets technology needs to be able to reduce
this, even it is going to impact some of the existing services
offerings or rate card line itemsSellers working direct with buyers
( IMF as an example ) less transcode rev. Technology Providers now
able to offer the services. Microsoft Azure media Services,
S2TBuyers building platforms to control costs and quality and
technology usedMAM, DAMS newer ones on the market Vidispine, Levels
Beyond and more. Built for the cloud vs yes we are in the
cloudThere will be predators and there will be protectors seen it
in film scanning, seen it in new packages like UV, DPP, IMF
Data now becoming more available Things have changed with more
change to comeDistracted Bored Leave Expensive Geographic
Constraints SiloedCan be ExpensiveGeographic ConstraintsHuman
CapitalFacilitiesLots of data and history on this good and bad
Scales well Cost improves over timeCloud Services
Gets smarter over time
Companies are building platforms to ensure there is
commoditization and scale Result: Decreased costsMachine
LearningCognitive / AI
Things have changed for sure
Accelerating the opportunity at GrayMeta
PREDATOR
PROTECTOR
There are the incumbents just like every industry, protecting
existing market share, customers and revenue
Then there are the predators looking for some of the existing
market share or to create new market share
There will be new platforms and systems and providers in the
market place in the next 12-18 months..
There have been some great new entrants or great new technology
in this space in recent years Sfera did some great things early
with the Cloud and AWS changing how things were done so much so
seems many providers used them.. Now they are part of Deluxe kudos
to Morgan Fumi and team .. Zoo Digital is also another great one
that at every NAB or IBC they have new versions of software, they
want to push the envelope..
Maybe the future providers are the platforms doing it for
themselves.. As long as there is the high dependency on human
capital to get this work done then anyone can have a crack at it
these people tend to be free to work for whomever.. Maybe the
future is every resource doing captioning etc has their own ID that
goes with their content and the future is a open marketplace where
jobs are issued and bid on..
So in 2018 who will have the control on how this work gets done?
Will it be the same as it is now.. ??
What happens when you use cloud translation technology instead
of highly trained people?
To finish on a light note hopefully, we spent time looking at
example of where this technology might not be ready for all use
cases.Came across this .. Not that service providers in the room
use public internet services to translate but look what can happen
if you just keep feeding the machine
Watsons latest feat of 94.1 percent accuracy is fairly
impressive though it should be noted, its still well below the 98.5
percent accuracy rate required by many captioning companies.A
recent study, Global and China Speech Recognition Industry Report
2015-2020, projected the global intelligent voice market will grow
from $6.21 billionin 2015 to $19.2 billion in 2020. In China alone,
voice recognition is expected to be a nearly $3.8 billion market
within four years. David Ward thejrc.com Date: Nov 2016It isnt
perfect, but is getting better everyday
There are plenty or articles, blogs and opinions out thereData
points seems to becoming more frequent Improvements are gaining
velocity
Body text: The latest on speech recognition - By David Ward
http://thejcr.com/2016/11/29/the-latest-on-speech-recognition/
Machine Translation for Subtitling: Large-Scale Evaluation, Jan
5, 2016Productivity Taking the average productivity for each
translation pair, and considering all machine translated files,
filtered and unfiltered, the gain in productivity reached
38.2%.
And
Measures of productivity gain/loss were also positive, with an
overall increase of nearly 40% in terms of subtitles per
minute.AccuracyOverall pretty good. Simple sentences were usually
perfect, but the machine has problems when the sentence is
complicated.
And
Generally speaking, it was only in very rare instances that the
level of translation generated was such that it needed little or no
editing at all. Frequently, it was just easier to get rid of
everything and start from scratch.Perfection isnt required to
realize benefit
Some of you in this room were part of the EU paper our review of
it and we also asked many people to read and give their view is not
ready for prime time dont stop everything you have already done
But its moving at such a pace in the right direction.
You just need to decide when you are going to start using or
working with this technology and to what extend.
Its also ok to sit and wait
Body text:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/463_Paper.pdf
What are the opportunities?
TimeCostQualityControl
What are we looking to do leveraging Cloud and Machine Learning
services How can we use technology to connect data easierReduce
time, costSustain Quality or Improve Quality Give more control (
when it is wanted )
Context set while a number of our team come from the M&E
space, much of our focus is outside of M&E also.WHAT WE HAVE
LOOKED AT We have looked outside M&E at some industries that
are bigger in spend but also are facing huge growth in video and
content this data type is pretty new for them unlike M&ELaw
Enforcement, Public Safety, Govt and Healthcare, Fin Tech
Some of the initial areas we are looking at and testing with
companies in the M&E space Content Creators or Buyers / Service
ProvidersCompliance object, word, content safety = saves time, and
cost tied to failed checked with broadcasters, Leverage the speech
to text to improve search and rec engines and ad insertion for
digital properties .. We are seeing interest to look at this tech
for lower tier content not movies but talking head shows and
news
What we are doing How We are working with a range of
technologies some our own IP, ( open sourced ) and platforms which
can leverage technology around ML,DL, Cognitive and AI to start in
sometimes very small ways to make a dent in some of these 4 key
areas
There seems to be a good amount of conversation around S2T and
then translation and language detection.. What is interesting is
there are large companies out there working on things tied to the
M&E but arent in the usual top 5-6 localization vendors
