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APRIL 12, 2018
Transforming Manufacturing and Retail
Machine Learning At Work
Adrian Bowles, PhD
Founder, STORM Insights, ...
IMAGINE…
A RATIONAL APPROACH TO DESIGN & TRANSFORMATION
FORM
Derived from Notes on the Synthesis of Form,
Christopher Alexander, Ha...
FORM
CONTEXT
Derived from Notes on the Synthesis of Form,
Christopher Alexander, Harvard University Press,1964.
“We want t...
A RATIONAL APPROACH TO DESIGN
FORM
CONTEXT Changing Customer
Expectations/Demands
The Actual Customer Experience.
FIT
Deri...
Supervised Unsupervised
Deep
General
Reinforcement
Learning by example,
using training data.
Strategies based
on performan...
DEEP LEARNING (SIMPLIFIED…)
Visible Layer
Hidden Layers
Output Layer
Input: Observable Variables
HIGHABSTRACTIONLOW
Output...
MANUFACTURING PROCESSES AND TRENDS
Planning
Product Design
Production
Operation
Maintenance
Inventory Management
AI, ML, D...
GE
Blog By Bill Suh
Chief DigitalOfficer, GE
CEO, GE Digital
GE
A digital twin is a model that
uses data about the physical
asset to simulate performance
in different scenarios - befo...
BOEING
Using Mixed Reality for product design
and maintenance
Microsoft Azure cognitive and IOT services for
Predictive Ma...
GENERAL MOTORS
GENERAL MOTORS
First the robots starting
making our cars,
then they started talking
among themselves to get
smarter,
Now t...
6 PAGES OF JOB LISTINGS FOR AUTONOMOUS DRIVING ML ENGINEER JOBS?
Source: Waymo
REVEALING SEARCH FOR “SHOPPING”
RETAIL IS HARD
In business for 27 years.
Closing 5/25/2018
“Cracker barrel and nuts and
bolts don’t pay the rent.”
“Amazon...
RETAIL PROCESSES & DRIVERS
“Half the money I spend on advertising is wasted; the trouble is I don't know which half.”
John...
WALMART
Analytic throughout the
supply chain was just the
beginning.
WALMART
WALMART - SAMPLE JOB LISTINGS, MAY 9, 2018
KROGER
In business for 135 years.
#1 global supermarket
chain by revenue
Over $110B revenue
400,000 employees
~2,800 store...
THE NORTH FACE
Source:
https://www.thenorthface.com/xps
THE OLD BEER AND DIAPERS CORRELATION IS SO LAST CENTURY
Digital Transformation
Merger with Aetna
More personalization (and...
URBN
Urban Outfitters
Terrain
Anthropologie
Free People
BHLDN
The Vetri Family (restaurants)
>3.5B annual sales
Using ML f...
URBN
Opportunities:
Leverage customer data across brands.
Use AI in the Contact Center to guide agents,
Use AI IRL to guid...
HOW TO REINVENT WITH AI
Where does your enterprise value natural intelligence?
Identify these roles, augment them with AI
HOW TO REINVENT WITH AI
Where does your enterprise value natural intelligence?
Identify these roles, augment them with AI
...
HOW TO REINVENT WITH AI
Where does your enterprise value natural intelligence?
Identify these roles, augment them with AI
...
GOOGLE HA THE RIGHT ATTITUDE…
adrian@storminsights.com
Twitter @ajbowles
Skype ajbowles
KEEP IN TOUCH
Upcoming SmartData Webinar
June 14 Natural Languag...
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI) - Manufacturing & Retail
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI) - Manufacturing & Retail
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Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI) - Manufacturing & Retail

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The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.

In this webinar, we will present an overview of AI-infused applications in two industries:

Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.

Publié dans : Technologie
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Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI) - Manufacturing & Retail

  1. 1. APRIL 12, 2018 Transforming Manufacturing and Retail Machine Learning At Work Adrian Bowles, PhD Founder, STORM Insights, Inc. Lead Analyst, AI, Aragon Research info@storminsights.com
  2. 2. IMAGINE…
  3. 3. A RATIONAL APPROACH TO DESIGN & TRANSFORMATION FORM Derived from Notes on the Synthesis of Form, Christopher Alexander, Harvard University Press,1964.
  4. 4. FORM CONTEXT Derived from Notes on the Synthesis of Form, Christopher Alexander, Harvard University Press,1964. “We want to put the context and the form into effortless contact or frictionless coexistence.”* A RATIONAL APPROACH TO DESIGN & TRANSFORMATION
  5. 5. A RATIONAL APPROACH TO DESIGN FORM CONTEXT Changing Customer Expectations/Demands The Actual Customer Experience. FIT Derived from Notes on the Synthesis of Form, Christopher Alexander, Harvard University Press,1964. “We want to put the context and the form into effortless contact or frictionless coexistence.”*
  6. 6. Supervised Unsupervised Deep General Reinforcement Learning by example, using training data. Strategies based on performance feedback. Discovers patterns based on experience with data. Biologically-inspired ML approach. Leverages simple processing units - analogous to neurosynaptic elements organized in layers that collaborate to solve complex problems. ML IS THE KEY FOR DIGITAL TRANSFORMATION
  7. 7. DEEP LEARNING (SIMPLIFIED…) Visible Layer Hidden Layers Output Layer Input: Observable Variables HIGHABSTRACTIONLOW Output Pixels Depth of the Model Edges Object Shapes/Parts Object Class Brightness/ Contrast Geometry Rules Features to Extract Methods 1. Feed Forward 2. Back-Propagate (adjust weights)
  8. 8. MANUFACTURING PROCESSES AND TRENDS Planning Product Design Production Operation Maintenance Inventory Management AI, ML, Digital Twins Automate! Disintermediate Global supply chain optimization
  9. 9. GE Blog By Bill Suh Chief DigitalOfficer, GE CEO, GE Digital
  10. 10. GE A digital twin is a model that uses data about the physical asset to simulate performance in different scenarios - before construction and during operation.
  11. 11. BOEING Using Mixed Reality for product design and maintenance Microsoft Azure cognitive and IOT services for Predictive Maintenance Fuel Optimization…
  12. 12. GENERAL MOTORS
  13. 13. GENERAL MOTORS First the robots starting making our cars, then they started talking among themselves to get smarter, Now they are learning to drive them.
  14. 14. 6 PAGES OF JOB LISTINGS FOR AUTONOMOUS DRIVING ML ENGINEER JOBS? Source: Waymo
  15. 15. REVEALING SEARCH FOR “SHOPPING”
  16. 16. RETAIL IS HARD In business for 27 years. Closing 5/25/2018 “Cracker barrel and nuts and bolts don’t pay the rent.” “Amazon has been a big game changer and everything we sell can be purchased online.” Jimmy Izzo, Owner
  17. 17. RETAIL PROCESSES & DRIVERS “Half the money I spend on advertising is wasted; the trouble is I don't know which half.” John Wanamaker (1838-1922) Purchasing Inventory Management Product placement within stores - optimize based observation of traffic patterns Customer Service Marketing Security/Loss prevention Changing Consumer Habits & Expectations More choices, consumers more educated, doing online research How do retailers reach the right people at the right time to get results?
  18. 18. WALMART Analytic throughout the supply chain was just the beginning.
  19. 19. WALMART
  20. 20. WALMART - SAMPLE JOB LISTINGS, MAY 9, 2018
  21. 21. KROGER In business for 135 years. #1 global supermarket chain by revenue Over $110B revenue 400,000 employees ~2,800 stores Focus on freshness and customer experience Streaming analytic and historical data Heat sensors to track in-store activity for resource allocation Video analytics
  22. 22. THE NORTH FACE Source: https://www.thenorthface.com/xps
  23. 23. THE OLD BEER AND DIAPERS CORRELATION IS SO LAST CENTURY Digital Transformation Merger with Aetna More personalization (and coupons) Analytics combining data from CVS and Aetna to support treatment of chronic conditions
  24. 24. URBN Urban Outfitters Terrain Anthropologie Free People BHLDN The Vetri Family (restaurants) >3.5B annual sales Using ML for Logistics Optimization Fraud Detection Product Recommendations & Personalization
  25. 25. URBN Opportunities: Leverage customer data across brands. Use AI in the Contact Center to guide agents, Use AI IRL to guide customers.
  26. 26. HOW TO REINVENT WITH AI Where does your enterprise value natural intelligence? Identify these roles, augment them with AI
  27. 27. HOW TO REINVENT WITH AI Where does your enterprise value natural intelligence? Identify these roles, augment them with AI Where does your enterprise value fast, repetitive action? Identify these roles, automate them with AI
  28. 28. HOW TO REINVENT WITH AI Where does your enterprise value natural intelligence? Identify these roles, augment them with AI Where does your enterprise value fast, repetitive action? Identify these roles, automate them with AI Where does your enterprise have data with hidden value? Find this data, mine it for insights with AI
  29. 29. GOOGLE HA THE RIGHT ATTITUDE…
  30. 30. adrian@storminsights.com Twitter @ajbowles Skype ajbowles KEEP IN TOUCH Upcoming SmartData Webinar June 14 Natural Language Processing: From Chatbots to Artificial Understanding with Affective I/O COMING SOON… AGEOFREASONING.COM BOOK, VIDEOS, PROFESSIONAL SERVICES WWW.AGEOFREASONING.COM

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