Presentation by Mani Janakiram, leader of the Intel Analytics Center of Excellence, on the journey of analytics adoption at Intel.

1. Driving an
Analytics Culture
Mani Janakiram,
Sr. Director Supply Chain
Strategy & Data Science at
Intel CorporationSupply Chain Insights Global Summit 2019

2. Intel Confidential — Do Not Forward
GSM
Global Supply ManagementIntel Confidential — Do Not Forward
GSM
Global Supply Management
Application of Analytics and AI for
Supply Chain Excellence
September 2019
Mani Janakiram, PhD
Sr. Director, Global Supply Chain
Intel Corporation
Supply Chain Intelligence & Analytics

3. Intel overview
3
Deliver the best customer experiences on the planet
Make the world’s
best semiconductors
Lead the Artificial intelligence
& Autonomous revolution
Be the Leading end to end
platform
provider for the new data
world

4. 4
Intel Today – Our Supply Chain Reach
>400
FACILITIES
IN 28
COUNTRIES
>100k
EMPLOYEES
WORLDWIDE

5. How we
enable intel
5
Technology
and Manufacturing Resilient
Supply Chain
Responsibility
5
Sourcing
and Delivery
Leadership Agility
An Agile and Smart Supply Chain that is recognized as Strategic
and Indispensable to Intel’s Growth
Delivering on our e2e supply chain digital transformation is key

6. 6
Digital Transformation - Why now?
IoT and numerous
other data collection
mechanisms
Big data
hardware and
software
AI / ML
algorithms
Computational
power
DATA MEMORY
REASONING COMPUTE
Sufficient Maturity of Key technologies

7. 7
AI With Digitization  Autonomous Digital Supply chain
Manual
Automated
Autonomous
Autonomous
Digital
Supply chain
Plan
Source
Make
Deliver
Return
Enable
Culture
Strategy
Talent
Technology

8. Key to building the Data Driven Organization – Talent Mgmt.
7

9. Digital Supply Chain Capabilities
Virtual Factory / Supply Network Modeling
 Optimize factory output by integrating Data Modeling and Simulation
 Improve Opx and Capex decision making through Scenario Modeling
Supply Chain E2E Predictive Visibility
 Supply chain visibility using IOT in combination with Big Data
 Actionable analysis through predictive AI and ML
Supply Chain Ecosystem Sensing
 Supplier intelligence and proactive risk management using Cognitive AI/ML
 Apply Cognition for decision making to enable an autonomous supply chain
8

10. Digital Supply Chain Capabilities
Virtual Factory / Supply Network Modeling
 Optimize factory output by integrating Data Modeling and Simulation
 Improve Opx and Capex decision making through Scenario Modeling
Supply Chain E2E Predictive Visibility
 Supply chain visibility using IOT in combination with Big Data
 Actionable analysis through predictive Artificial Intelligence and Machine
Learning
Supply Chain Ecosystem Sensing
 Supplier intelligence and proactive risk management using Cognitive AI/ML
 Apply Cognition for decision making to enable an autonomous supply chain
9

11. E2E Supply Chain Simulation/Modeling
11
DEMO
Supply Network models for understanding e2e
Supply Chain and model various scenarios to
improve Customer Service
E2e Supply Network Model Fab1
OM1
OM2
OM3
OM2
OM2 OM4OM1OM3
Fab2
Fab3
M1
M2
OM4
OM3
OM1
OM2
OM4
OM3
OM1
OM2
OM4

12. 12
ODM Factory Simulation/Modeling/Visualization
Supply Chain Intelligence & Analytics Intel Confidential
Goal: Optimize factory
output
• Constraint identification
• Inventory backlog Cycle
time analysis What-if for
current load and
ramping
• Labor modeling/
optimization
Factory Constraints (Utilization)
Product Cycle time
Queue time (Inventory buffers)
Tool requirements
Factory models for understanding factory constraints, Cycle time issues,
inventory buffering and optimizing factory output

13. Digital Supply Chain Capabilities
Virtual Factory / Supply Network Modeling
 Optimize factory output by integrating Data Modeling and Simulation
 Improve Opx and Capex decision making through Scenario Modeling
Supply Chain E2E Predictive Visibility
 Supply chain visibility using IOT in combination with Big Data
 Actionable analysis through predictive Artificial Intelligence and Machine
Learning
Supply Chain Ecosystem Sensing
 Supplier intelligence and proactive risk management using Cognitive AI/ML
 Apply Cognition to assist in decision making to enable an autonomous supply
chain
12

14. Supply chain predictive visibility
In-control Out-of-control
Supply Chain visibility is the #1 priority
for Supply Chain leaders today!
Combine internal and external data for end-to-end visibility and proactive alerts
Saving $M in supply chain operations – Substrates, Products and Spares
Adv. Visualization for:
Prediction/Diagnostics/What-if
13

15. 15
Connecting & Enabling Supply Chain with
IOT*
*Internet of Things
A path towards Industry 4.0

16. Digital Supply Chain Capabilities
Virtual Factory / Supply Network Modeling
 Optimize factory output by integrating Data Modeling and Simulation
 Improve Opx and Capex decision making through Scenario Modeling
Supply Chain E2E Predictive Visibility
 Supply chain visibility using IOT in combination with Big Data
 Actionable analysis through predictive Artificial Intelligence and Machine
Learning
Supply Chain Ecosystem Sensing
 Supplier intelligence and proactive risk management using Cognitive AI/ML
 Apply Cognition to assist in decision making to enable an autonomous supply
chain
15

17. 17
Sourcing/Procurement – Eco system
sensing
Cognitive Computing
Based Sourcing
Intelligence
• Market Intelligence
• Materials Intelligence
• Supplier Intelligence
• CSR Intelligence
• Pricing Intelligence
• Technology Intelligence
Can we find suppliers
similar to existing
suppliers?
Can we find new
suppliers for
commodities or
skills?
Are there emerging
skills within our supply
base?
Can we detect potential
physical, financial, or
organizational
disruptions?
Are supplier skills
ratified by evidence?
What is the external
sentiment about our
suppliers?
Can we detect labor
practices inconsistent
with our values?
Can we gauge
external sentiment on
our suppliers?
What is the right
time to buy?
Is the suppliers
technology mature?

18. Cognitive sourcing – Supply Chain Sustainability
List of
Suppliers
Forced and
Bonded Labor
terms (i.e., slave labor,
passport holding, dormitory)
News, tweets, etc
Natural Language
Processing Algorithms
applied and results stored Interactive GUI
Email alerts
TOP
PRIORITY
Every day news and tweets are
“ingested” looking for
connections between Intel’s
suppliers and possible forced
and bonded labor concerns
Example material to monitor:
Cobalt
• Demand and price has risen
dramatically
• 60% of the world’s supply
comes from Congo which has
a history of child labor and
small mines funding conflicts
 Winner of Procurement Leaders Supply Chain Initiative Award (2017)
 Winner of CSCMP’s 2018 Supply Chain Innovation Award (2018)
17

19. 19
Forced And Bonded Labor Dashboard
Demo

20. Cognitive sourcing – disruption detection
On this date, two of our
suppliers merged
# of connections in the
category Disruptions =
merger to supplier “L”
More connections
means more evidence
that something of
interest is occurring
19

21. 21
Business value
Our
RESULTS
INCREASED
VELOCITY
• Faster supplier selections
• Near real-time response
• Decision-to-execution in
one place
INCREASED
PRODUCTIVITY &
QUALITY
• Deeper supplier insights
for selections & negotiation
• Near real-time response
• Decision-to-execution in one
place
DECREASED
SUPPLY CHAIN
INTERRUPTIONS
• Reduction in late orders
• Reduction in availability risk
• Real-time response times
• Faster alerts/responses
• Revenue improvements
DECREASED
INVENTORY
• Greater excess/ scrap
reduction
• Greater spend avoidance
Business value example: Sourcing Intelligence
•$30M+ of Cost Avoidance – will increase with adoption
•20% Productivity Savings
•4% Rate Reduction from Better Negotiations ($100M+ impact)

22. Intel Confidential
Key Learnings & Takeaways
IDENTIFY the opportunities, availability of data and information, and
the priorities for your e2e supply chain (start with key questions).
EXAMINE THE IMPACTS on your data, your business process,
and your analytics opportunities for the organization of the future.
PLAN TO MODERNIZE and prepare your AI/ analytics infrastructure.
Be prepared to embrace technology. Hire/train the right talent.
MAXIMIZE VALUE AND SCALE across your supply chain
holistically for best results. Don’t forget cultural changes.