3. AI Opportunity & Challenge
Hype Cycle Global AI Opportunity
$50 Billion
AI-ML Spending by 2021
*International Data Corporation (IDC)
$5 Trillion
AI to create in value annually
*McKinsey
40% Productivity
& Corp. profitability
*Accenture
AI Fact: Data Changes Fast
37%
Only 37% of today’s
will be useful by 2020
5000Data Scientist
10+ Years Experience
4. AI cannot
explain decisions
GDPR and
data privacy
BIAS
Data not
good enough
Debugging data
Communication
Bottleneck
No in-house
skills available
Data scientists
have no credibility
Executives or
LOBs don’t buy-in
In-house
data scientists
too junior
Silent fail
Pure-cloud
AI service
Ongoing
maintenance
Tooling is
still fragmented
AI Bad News
80%
Failure
5. AI Taxonomy
AIA R T I F I C I A L
GAI
I N T E L L I G E N C E
NAI
Expert Systems
1980s
Machine
Learning
Logistic
Regression
SVM
Neural
Networks
Graphical
Models
Clustering
Decision
Tree
Deep
Learning
Symbolic Logic
Academia
6. AI History
1940 1950 1960 1970 1980 1990 2000 2010 2020
ISAAC ASIMOV
ALAN TURING
MARVIN MINSKY
Perceptron
(Neural Net)
Symbolic Logic NLP Expert Systems Machine Learning
Deep Learning
Funding $$
F I C T I O N
SCIENCE
8. Next Generation Auto ML
Continuous
Learning
From Human
Explainable
Citizen Data Scientist
9. TAZI System Architecture
Customer Reporting
&
BI Systems
SQL, Kafka …
Customer Transactions
SQL, Kafka …
Tazi can help to find KPI based
customer microsegments
at these steps
<
Continuous Learning, KPI Performance Reporting,
AML Understanding & Feedback
Claim Frequency/Severity Prediction
Data Preparation
<
<
Flags
Performance Reporting
• Check, Revise, adjust, control,
Growth Prediction Model
Profit-Loss Prediction Model
Churn Prediction Model
Prediction of whether the customer will pay in t+dt
Prescription: advise who calls and with what offer
Record customer, personnel
actions and the results of
actions
Record tazi results