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Future through the AI lens 20181204
1. BIG DATA AND AI
FUTURE THROUGH
THE AI LENS
SOHAIB KHAWAJA
04 DECEMBER 2018
2. BIG DATA AND AI
AGENDA
01 CONTEXT
02 WHAT HAS BEEN TRIED?
04 HOW Amaris.AI CAN HELP?
05 DISCUSSION
WHAT IS POSSIBLE?03
3. BIG DATA AND AI
SPEAKER
www.linkedin.com/in/sohaib
4.
5. BIG DATA AND AI
DRIVING FORCES
LOW OPERATIONAL AGILITY
INEFFICIENT FLOW OF INFORMATION
HIGH OPERATING COST / CAPITAL EXPENDITURES
NEED FOR NEW REVENUE STREAMS
NEED FOR INNOVATIVE BUSINESS MODELS
6. BIG DATA AND AI
ON-DEMAND
On-Demand Services
Just-in-Time services for everything
we can every need or want…
10. BIG DATA AND AI
INTERNET ERA REVOLUTION
BRICK AND MORTAR
▪ REDESIGN STORE EVERY 6 MONTHS
▪ KNOWLEDGE LOCK-IN
▪ ENGINEERS AND PMS HOLD MOST OF
THE OPERATIONAL KNOWLEDGE
▪ LONG SALE CYCLE
▪ LABOUR INTENSIVE
INTERNET COMPANY
▪ CHANGES BY THE DAY (DAILY)
▪ BUSINESS AUTOMATION
▪ PERVASIVE A/B TESTING
▪ SHORT SALE CYCLE TIME
▪ RAPID DELIVERY
13. AMARIS.AI
kaggle.com
kaggle has the world largest community of data
scientists and machine learners. It hosts data
science competitions for worldwide data
scientists to compete.
THE DATASET PROVIDED ARE
REAL-LIFE ENTERPRISE DATA!
kaggle has run hundreds of machine learning
competitions since the company was founded.
kaggle was acquired by Google in 2017.
14. AMARIS.AI TEAMS @ kaggle.com
6 YEARS OF KAGGLE COMPETITIONS
Over 100
Artificial
Intelligence
Competitions!
15. AMARIS.AI TEAMS @ kaggle.com
PREDICTING USER BEHAVIOR
▪ TalkingData, China’s largest third-
party mobile data platform,
understands that everyday choices
and behaviors paint a picture of
who we are and what we value
▪ TalkingData seeks to leverage
behavioral data from more than
70% of the 500 million mobile
devices active daily in China to help
its clients better understand and
interact with their audiences
▪ Predict users’ demographic
characteristics based on their app
usage, geo-location, and mobile
device properties
16. AMARIS.AI TEAMS @ kaggle.com
PREDICTING USER AD PLACEMENT
▪ Outbrain is a premium discovery
platform that helps connect marketers
to their target audience through
personalized recommendations on the
world's leading publishers
▪ Outbrain recommendations appear as
native placements on premium
publishers like CNN
▪ Predict which pieces of content its
global base of users are likely to ‘click’
17. AMARIS.AI TEAMS @ kaggle.com
PREDICTING USER CLICK ON ADS
▪ 3 billion products
▪ 3 billion ads/day
▪ 10ms to pick relevant products
▪ Criteo is a leading global technology
company that specializes in performance
display advertising, working with over 4,000
e-commerce companies around the world
▪ Criteo Labs technology takes an algorithmic
approach to determining what user we show
an ad to, when, and for what products
▪ Predict ad click-through rate (CTR). Given a
user and the page he is visiting, what is the
probability that he will click on a given ad?
18. AMARIS.AI TEAMS @ kaggle.com
PREDICTING PRODUCT PRICES
▪ mercari is Japan’s largest
community-powered marketplace
with over JPY 10 billion in
transactions carried out on the
platform each month.
▪ AI automatically suggests the right
product prices with info such as
product category name, brand
name, and item condition.
20. AMARIS.AI TEAMS @ kaggle.com
PREDICTING VALUED SHOPPERS
▪ Consumer brands often offer
discounts to attract new
shoppers to buy their
products. The most valuable
customers are the repeat-
shoppers who return after
this initial incented purchase.
▪ Predict which shoppers are
most likely to repeat purchase
based on complete, basket-
level, pre-offer shopping
history. The incentive offered
to that shopper and their
post-incentive behavior is
also provided.
30. Artificial Intelligence
• Machine Learning
• Deep Learning
Intelligent Process Automation
Robotic Process Automation
Natural Language Processing
• Semantic Intelligence
• Sentiments Analytics
BIG DATA AND AI
JOURNEY
31. BIG DATA AND AI
AI BUILDING STRATEGIES
▪ AI BY PROGRAMMATIC RULES
▪ AI BY MACHINE LEARNING
▪ AI BY REINFORCEMENT
LEARNING, DEEP LEARNING,
ATTENTION , KNOWLEDGE,
COMMON SENSE…..
32. AI-Deep Learning Models
E.g. AlphaGo, IBM Watson, etc...
NLP-Semantic Intelligence
E.g. KoreConversable, etc…
Intelligent Process Automation
E.g. Automation Anywhere, etc…
Robotic Process Automation
E.g. Blue Prism, etc…
10%
20%
15%
55%
Amaris.AI has the only end-to-end enterprise solution
Applied solutions for every layer of enterprise digital transformation
AI Process Automation for unprecedented efficiency and productivity
FULL-STACK
BIG DATA AND AI
AI-FIRST SOLUTIONS
33. BIG DATA AND AI
NEXT-GEN AI EXPERTISE AND
PATENTED SWARM CAPABILITIES
36. AI PROCESS AUTOMATION:
TOTAL VALUE PROPOSITION
Drive Process
Efficiency
Increase Staff and
Customer Satisfaction
Enhanced
Security
Reduce Rudimentary
Administrative Tasks
Increase
Profitability
37. COMPANY INFORMATION
AMARIS.AI
AI Driven Approach
Managing Big Data
AI Process Automation
Robust and Scalable Solutions
Integrated Solutions
Sustain Competitive Advantages
38. OUR APPROACH
AMARIS.AI AND AGILE
At Amaris.AI – We Live and Breathe AGILE
We adopt two different approaches to AI Solution Development
Kanban-based Approach for AI Model Research and Development
Scrum-based Approach towards an Enterprise-Grade Production Environment
39. OUR PROCESS
GENERAL AI SOLUTION PROCESS
Client Weekly / Bi-weekly Updates
Productionize via
Test-Driven Development
Adopt, Implement and Productize AI as Client Core Process
AI Solution Development Cycle
Preliminary Analysis Generate Dataset
Enterprise
Architecture
Applied AI
Solution
Data Output
Identify Current
Dataset Feasibility
Cleanse Dirty Data Cloud Support Build AI Models Data Output
Build Solution Framework
Prepare sources
for ingestion
Systems Integration
Develop and Train
AI Models
Web Application
Interactive Visualizations
40. SENIOR MANAGEMENT
LEADERSHIP TEAM
Yu Chien Siang
Chief Innovation and Trust Officer
James Kang
Chief Executive Officer
Patrick Chan
Chief Technology Officer
• Former Singapore
Government CIO
• Spearheaded Singapore’s
SmartNation Programme
• Project Director of TradeNet
(Harvard Case Study)
• Data Science Veteran, >25
years industry experience
• Consistently Ranked Top 1 –
2% in Kaggle
• Held multiple advisory roles in
Data Science Industry
• Former Chief Innovation
Officer at Certis-CISCO and
Ministry of Home Affairs
• Cybersecurity Veteran, 20
years industry experience
41. BIG DATA AND AI
CONCLUSION
▪ DEEP LEARNING is leading to ADVANCEMENT in the
area of AI and BUSINESS PROCESS INNOVATIONS.
▪ PARTNER WITH AI COMPANIES WITH DEEP EXPERTISE
to experience unprecedented Efficiency, Productivity
and Profitability.
▪ DATA, MODEL and USER BEHAVIOR is the KEY to
SUSTAINED COMPETITIVE ADVANTAGE WITH AI.
