ARTIFICIAL INTELLIGENCE IN ANALYTICS · © 2018 Adobe Systems Incorporated. All Rights Reserved....
Transcript of ARTIFICIAL INTELLIGENCE IN ANALYTICS · © 2018 Adobe Systems Incorporated. All Rights Reserved....
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
ARTIFICIAL INTELLIGENCE IN ANALYTICSUncovering the Real-World Successes, Limitations & Hype
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
Tom Braybrook | Product Marketing Manager, Adobe Asia PacificAI: A QUICK PRIMER & HISTORY LESSON
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
1950’s 1960’s 1980’s1970’s 2000’s1990’s 2010’s…
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
DEEP LEARNING
ACCELERATED BY.. AVAILABILITY OF TRAINING DATA
COMPUTING & DATA PROCESSING
GENERAL(SENTIENT, AWARE)
NARROW(FOCUSED, SPECIFIC)
AI THAT IS PROGRAMMED AI THAT IS TRAINED
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
MACHINE LEARNINGMultiuse & Nonspecific Applications
5.0-7.0
NATURALLANGUAGE
0.6-0.9
SMARTROBOTICS
0.3-0.5
VIRTUALAGENTS
0.1-0.2
AUTONOMOUSVEHICLES
0.3-0.5
COMPUTER VISION2.5-3.5
SOURCE: “Artificial Intelligence, The Next Digital Frontier?” McKinsey Global Institute, 2017
EXTERNAL INVESTMENT IN AI-FOCUSED COMPANIES, $ BILLIONS, 2016
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
3/4executives
Believe that AI will enable their companies to move into
new businesses
85%
Believe that AI will allow their companies to obtain or sustain
a competitive advantage
Source: MIT Sloan Management Review, 2017
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
By 2020, business will take
$1.2 trillioneach year from competitors thatdon’t employ these technologies
Source: Forrester Predictions 2017
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
Meet Adobe Sensei.A unified AI and machine learning framework
powering a range of intelligent services across the Adobe platform.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
ATTRIBUTION
PERSONALIZATION
ANOMALY DETECTION
SENTIMENT ANALYSIS
INTELLIGENT AUDIENCE SEGMENTATION
BUDGET ALLOCATION
PREDICTING CLICKS
SUBJECT LINE OPTIMIZATION
AUTO-TAGGING
PROBABILISTIC DEVICE STITCHING
AUDIENCETAGGING
CONTRIBUTIONANALYSIS
VIDEORECOMMENDATIONS
EMAIL FREQUENCY CONTROL
LANDING PAGEOPTIMIZATION
AUTOMATED INSIGHTS
NEW LOOKALIKEMODELING
ONE-CLICK PERSONALIZATION
INTELLIGENT ALERTS
INTELLIGENTIMAGE CROPPING
80+ capabilities powered by Adobe Sensei
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
MACHINE LEARNING, TRAINED ON YOUR OWN DATA.
STATISTICAL ANOMALY DETECTION
CONTRIBUTION ANALYSIS
RECOMMENDED SEGMENTS
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
ORIGINALMACHINE LEARNING
APPROACHDEEP LEARNING
APPROACH
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
Adobe Sensei: Opening up the framework
Developed by Adobe that do not require customer-specific configuration or training
MARKETER
Developed by Adobe that enables customer-specific configuration and training
DIGITAL ANALYST
Developed by customer or partner. “BYO algorithm” to your Adobe data
DATA SCIENTIST
© 2018 Adobe Systems Incorporated. All Rights Reserved. Adobe Confidential.
General Manager, Torque DataVelocity Frequent Flyer / Virgin Australia
Data & Artificial Intelligence Lead, AzureMicrosoft Australia
ADOBE SYMPOSIUM 2018
ARTIFICIAL INTELLIGENCE: Real-World Successes, Limitations and HypeAugust 2018
Micro
services
REST
APIs
DATA
CLOUD
9 M +
MEMBERS
400+
VELOCITY AS A LOYALTY PLATFORM
MEMBERS
MAKING OUR MEMBERS DREAMS COME TRUE
PARTNERS
THE SMART WAY TO ACHIEVE YOUR CUSTOMER GOALS
PARTNERS
VELOCITY BACKGROUND
HOW AND WHY
HOW AND WHY
WHY
Increased focus on analytics
Reduced pool of available talent
Increased requirement for analytics at pace (digital)
HOW
Proof of concept
Stand alone
Cloud Deployment
WHAT WE DID
WHAT WE DID!
EXISTING ACTIVITY BETTER/FASTER
10 x 10%
NEW CHALLENGE – THE IMPOSSIBLE
“Half the money I spend on advertising is wasted; the trouble is, I don't know which half.”
Wanamaker, Leverhulme
WHAT WE DID! – Multi-class Propensity Models
WHAT WE DID! – Marketing Attribution Model
THE LESSONS
PEOPLE NOT TECHNOLOGY
QUICK WINS ARE VITAL
TIMING IS EVERYTHING
GET STARTED!
WHAT NEXT?
What’s Next
INTEGRATION
ACCELERATIONMORE CHALLENGES
SUPPORTING TECHNOLOGIES