ML, AI, DL, DS, AA - are all of these the same or are they different? So much confusion. Learn how ML can be applied (with Insurance as an case study).
2. Technology
(CS)
Analytics
(Math, Stats)
Business
(MBA)
Advanced
Analytics CoE,
Maturity Model
Customer Analytics
(entire value chain)
Machine Learning
Scoring Engine
Optimization
Simulations
Forecasting & Time
Series
• 16+ Years
• John Hancock Insurance
• Deloitte Consulting (Industries – Insurance,
Retail, Financial, Technology, Telecom,
Healthcare, Data)
• IBM
• Sun Microsystems
Expertise
Experience
Vishwa Kolla
Head of Advanced Analytics
John Hancock Insurance, Boston
MBA Carnegie Mellon University
MS University of Denver
BS BITS Pilani, India
4. AI, ML, DL, Data Science, Advanced Analytics…
Are all the same
Are very different
Not sure
5. AI, Data Science, ML, DL …
Are all the same
Are very different
Not sure
Are related,
but different
6. In terms of evolution, what is the right order?
A. ML -> DL -> AI
B. AI -> DL -> ML
C. AI -> ML -> DL
D. DL -> ML -> AI
7. In terms of evolution, what is the right order?
A. ML -> DL -> AI
B. AI -> DL -> ML
C. AI -> ML -> DL
D. DL -> ML -> AI
8. How are all of these related?
Source: h2o.ai
Computer Science (CS)
The study of automating
algorithmic processes that scale
Artificial Intelligence (AI)
An ideal intelligent machine is a
flexible rational agent that
perceives its environment and
takes actions that maximize its
chance of success at an
arbitrary goal
Machine Learning (ML)
The study and construction of
algorithms that can learn from
and make predictions on data
Deep Learning (DL)
A branch of machine learning
based on a set of algorithms that
model high-level abstractions in
data using multiple processing
layers
16. Value from Internal Data is … well, HUGE
~$820 B
Value of
Customer Data +
Algorithms
$1.2 T
Market Cap
(11/30/2016)
$120 B
Debt
(11/30/2016)
$178 B
Brand Value
(05/2016)
Source: http://www.forbes.com/powerful-brands/list/2/#tab:rank
17. Embracing Data helps with Top & Bottom lines
2001 – 2013 CAGR Revenue
(Firm | Industry)
Source: 2001 – 2013 Revenue figures from Capital IQ
3%
3%
3%
1%
5%
7%
7%
8%
10%
12%
30. Sources and Acknowledgements
1. Gartner Hype Cycle. http://www.gartner.com/newsroom/id/3412017
2. Deep Learning at Google. https://www.wired.com/2016/02/ai-is-changing-the-technology-behind-google-searches/
3. WSJ. Economic Value of AI. https://blogs.wsj.com/cio/2017/04/28/lower-prediction-costs-the-simple-economic-value-of-artificial-intelligence/
4. John McCarthy. Father of AI. http://www.asiapacific-mathnews.com/04/0403/0015_0020.pdf