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Introduction to
Artificial intelligence & Big Data
Kim Ming
Media Prima Digital, Data Science & Analytic
Intelligent personal assistant
Personalized recommendation engine
Facial recognition system
Overview
1.Introduction
2. A.I use case
across
industries
3. A.I use case
in Media
4. Issue,
challenge on A.I
Introduction to Big Data
How we can leverage Big Data?
Understand & Winning Your Customers in the
Big Data Era
Customer 360 profile
Demographic data
Transaction &
subscription
Audience profile
Viewership/ Video
consumption
Online behavior
data (pageview,
like, click)
• Miss Blink-Blink
• 18 – 24 years old, Female
• Luxury beg lover
• Shopping enthusiast
• subscribe to fullAMark, tonton
• Last purchase date: 2017 Jan
• Watch 3 videos per week,
• most prefer lifestyle & shopping
• Avg read 5 articles/day,
• most visit site - Ohbulan
• Content : Shopping and food
Introduction to Artificial intelligence
Machine learning use case
Machine learning use case – image classification
Machine learning use case
Loan Approval
Customer data (loan application)
Algorithm: decision tree
No
AI & ML use case across industries
Personalized Experience &
Customer Segmentation
Market Basket Analysis & Pricing
Optimization
Industry: Entertainment
Provide recommendations for each
users based on their profile and
playlists
Industry: Retail
Monitor customer comments on
particular a product and send
targeted messages about the
product
Industry: Household Retail
Uses simulation models and
predictive analytics to create best
design for its products
Industry: Travel
Determine which destinations and
connections to be added in to
maximize revenue
Industry: Food
Uses satellite imagery, crop yields
and consumer preference to
ensure a consistent taste
Optimize Funnel Conversion Behavioral Analytics
Industry: Communication
Uses billing and sentiment analysis
to identify upsell opportunity and
retain high LTV customers
Industry: Communication
Uses real-time data to create
personalized campaigns to
improve customer retention and
boost market share
Industry: Finance
Predict customer needs on
financial products and services
during the sales process
Industry: Finance
Analyze shopper’s behavior and
provide insights to retailers
Industry: Entertainment
Collects data on customer
engagement and usage time to
improve service and increase
profits
Industry: Food & Beverage
Collect data on customers’
purchasing habits and identify
trends indicating customer interest
in their products
AI use case in Media & Entertainment
https://blog.drhack.net/heliograf-ai-robot-journalism-a-reality/
https://www.washingtonpost.com/pr/wp/2018/06/12/the-washington-post-plans-extensive-
coverage-of-2018-midterm-elections/
Intelligent Agent for smart story-boarding
http://bbcnewslabs.co.uk/projects/juicer/
https://www.washingtonpost.com/pr/wp/2015/07/16/the-washington-post-tests-new-knowledge-map-
feature/?utm_term=.12bcdff94f10
Washington post
Clavis
an audience targeting
platform and is at the
root of
personalization
efforts.
Virality
is a machine learning
based system that
predicts the
popularity of articles
based on content,
meta data, site traffic
and social chatters
Heliograf
an automated
storytelling agent that
automates the writing
of data-driven articles
and frees up
reporters to focus on
the high-quality
stories.
Headliner
an automated system
that proposes several
headlines for an
article.
Other application
BBC Juicer
Streamlining media
workflows: AI
enables journalists to
focus on what they
do best: reporting as
illustrated
Reuter News
Tracer
Automating
mundane tasks
track down breaking
news, so that
journalists are not
tied down to grunt
work.
NYTimes
Researcher
Crunching more
data: Research can
be performed much
faster
Washington –
post
Knowledge map
Digging out media
insights: Information
can be correlated
quickly and efficiently
AI use case for TV & video processing
Real time scene and video & object recognition
Samsung - Increase picture quality with AI
Automate create cartoon from text - flintstones
A.I use case in Media Prima
Customer 360 profile
Demographic data
Transaction &
subscription
Audience profile
Viewership/ Video
consumption
Online behavior
data (pageview,
like, click)
• Miss Blink-Blink
• 18 – 24 years old, Female
• Luxury beg lover
• Shopping enthusiast
• subscribe to fullAMark, tonton
• Last purchase date: 2017 Jan
• Watch 3 videos per week,
• most prefer lifestyle & shopping
• Avg read 5 articles/day,
• most visit site - Ohbulan
• Content : Shopping and food
Media Prima content recommendation engine
• Personalized service & improve engagement
• Cost saving ( ~ RM900,000/year)
• Build up internal capability and stay competitive
edge
Cross-domain Recommendation engine
Multi-lingual Natural Language Processing (NLP) engine
1) Discover content
consumption insight
Improve ads targeting, understand user behavior,
recommend relevant content
2) Automate document
classification
50000+ document/contents auto-tagged
50+ man-hours saved per week
Artificial Intelligence (AI) Experiment
Facial recognition Gender & Age prediction
Issue, challenge and concern on A.I
Racist robots.
How do we eliminate AI bias?
Google Microsoft
Ethical & responsibility dilemma
e.g. How we should program autonomous vehicle emergency
response
Security
How do we keep AI safe from adversaries?
Question?

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MPB - introduction to AI & Big Data