#The Intelligent Video Player VuLiv Player
The Intelligent video Player that uses
machine learning techniques on users Video & Music consumption /Usage to
build automatic recommendations.
VuLiv Player, The most advanced analytics
driven, artificially intelligent audio-video Player uses machine learning
algorithm on Users Music video consumption to build predictive &
prescriptive recommendations. The AI works at 3 different layers including
·
Meta Tag AI – Using Click
patterns on Media Usage and matching Album, Artist, Genra, File name with a
large device/online library.
· Bio metric EyeVu AI - that works on Human Eye attention span to simulate
attention span of users; works by measuring human eye angular gaze on the
video and measures eye movement or blinking.
·
Device Deep Learning & visualizations
– associated with customers apps suite, location, device information including
scanning/unearthing the brands affinity of transacting message communication
received by the customers. Works by synthesizing the distributed information across
various applications and simplifying them into easy to understand rich media
banners.
These 3 layers of AI builds a holistic latent need class of what truly interests a customer from clicking an entertainment piece to making a transaction by clicking an engagement or just consuming more & more content. The platform big data engines synthesize very large amount of consumption data to predict & prescribe audio video playlists , photo collage , capturing moments & memories @ 1place.This unsupervised form of self-learning indexes and discovers new content from a large data pool basis customers desired intent of meta tag clicks thereby self-search for consumers removing the need for type & search.The data science algorithms help consumers by making faster and better decisions on behalf of customers thereby simplifying entertainment experience.
#Role of AI in Advtg Media Entertainment
#Cocktail
of AI + ML + DS+NCP helps to create that decision tree just by basis a click of
content.
#How
AI use of Media Player Helps combat piracy and Promote Originals.
#How
AI build bridges between Media consumption such as Music Favorites to Online
Music Playlist discovery @ YouTube or Gaana, Saavn, Hungama
# How
Meta Tag AI builds infinite playlists , favorite predictions, recommendations
on just 1 click.
#
AI+ML helps Make Better Decisions , Faster & easier.
EyeVu
AI combats Digital Advtg Fraud , Creative
Lifting ,A/B Testing For Digital . Human attention on digital platforms today
is being measured by the number of seconds a video content is being played
without assigning any importance to being watched.
The Artificial Intelligence employed in Eye
Vu Technology to measure creative lift of entertainment video piece can build
infinite predications and prescriptions for customers and brans to offer more
relevant , compelling, gripping content / entertainment. This piece of technology
combined with power of big data AI can unearth , human science data to build
the right creative content be it for advertising or entertaining.
This Human science data can be utilized for
building sentimental analysis /attention gauge of customers by using math’s and
correlation with human linking.
#
digital fraud, A/B testing, creative challenge, Story Telling, Eye Vu,
#
AI decoding Story Telling, Scientific About Story Telling, Creation
#
When the batter of Storytelling , How your story will always score better
#
The Art & Science of compelling Storytelling
#Data
Science can be the difference between an extra ordinary real story and Ordinary
Story
#
Eye AI allows scientific measurement of video contents emotional engagement and
predicative effectiveness of target audiences.
#Gaze
estimation # excitement , stress, reaction , real time, emotional machine
learning, human machine learning.
#Rise
& Fall of Metric – Video View – Partial ,Complete , Complete with Transaction
or EyeVu
#Wrong
Advtg/bot led views Data – Wrong hypothesis, - Successive Digital failures,
Loss of Marketing Funds.
#How
Eyevu AI can save your Marketing dollars and more importantly Save the Mankind
from Advtg, Entertainment Tsunami all over…
Deep
Device Learning helps consumer unearth valuable
information that can synthesized by running data science on the transacting
brand Messages received in the Inbox as well as other applications utilized by
the customer to enable in the moment usage by the customer to make the best of
offers as well as brands to engage with the customer at the right time with the
right call to action.
The data science platform runs Machine
learning techniques to bring out the pattern in the messages received by
various brands that a customer has chosen to engage but is unaware of their
offers being received before they EXPIRE. This use of AI , helps collate all
such offers while the customer is engaged and simplifies the call to action
between internet and core SMS +voice communication network Fallbacks.
Such use of
data science and communication Technology can be extended to other
applications such as calendar , cab booking , food ordering apps and embedded
natively in the video watch experience of the engaged customers.. ..
Imagine the overlap of Eye Vu AI with Deep
Device learning integration to pop out the hidden brand offer/message the
customer was waiting for – right in front of him in a non-interruptive and rich
media format to enable him avail/ being informed before regretting the expiry
of the offers. Such integrations can deep linked using Google’s deep link
technology to reach the desired embedded screen in the application enabling a
single click discovery and transaction for the user.
Such integration of AI can be incredibly
useful for building effectiveness and efficiency of existing brand
communication being popped out at the right time with the right attention of
the customer ….
At the same time , removing the need of ill
targeted infinite number of programmatic advts spoiling entertainment time .
#Personlised
Targetting
#Information
from brands I want to use
#Targetting
Simplified
#Sifting
Distributed Information
#Ondevice
Information Embedded into Video
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