This Workshop Teaches Business Leaders How To Implement AI Technologies To Serve Customers Better Than Anybody Else. AGENDA Introduction to Artificial Intelligence Extracting Value & Delivering Value Predictive & Preventive maintenance Marine market, Jet engines How to prepare & implement AI Playbook

1. Prof. G. Mascarella
giuseppe@valueamplify.com
Building The AI Playbook
The Workshop To Maximize Your Return On
Intelligence

2. INTRODUCTION
Prof Mascarella is a sought-after AI conference
speaker. He currently teaches AI at Atlantis
University MBA in Miami.
As a former Microsoft Group Manager he
designed and launched the WW Technology
Strategy Consulting Group.
SME: AI Assessment/Workshops/POV/LeadershipProf G Mascarella
Luca Amapane
At FCA (IVECO), Amapane directed development
of innovative automotive electronics systems.
SME: Adaptive Cruise Control System through
the CAN in-vehicle communication bus.
At Microsoft, led development Windows
Embedded
This Workshop Teaches Business Leaders How
To Implement AI Technologies To Serve
Customers Better Than Anybody Else.
AGENDA
1. Introduction to Artificial Intelligence
2. Extracting Value & Delivering Value
3. Predictive & Preventive maintenance
1. Marine market
2. Jet engines
4. How to prepare & implement AI Playbook
Value Amplify Confidential

3. Questionnaire
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4. AI Compelling Event: Data Sources Evolution
Source: www.microsoft.com

5. Data is out there and is free (Open data). It provides no
competitive advantages.
Finding patterns in data is the holy grail.
• Oil in a barrel
• Diesel in an engine

6. From Data Mining To AI
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7. 75% of the working assets
shipped globally by 2022
will have digital twins and
predictive maintenance
Operational Readiness
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9. AI and Digital Transformation is becoming a
fierce battlefield
What Are the Most Strategic Questions?
1. What ..
2. How …
3. ….
Prof G Mascarella

10. AI and Digital Transformation is becoming a fierce
battlefield.
▪ What does it take to be the winner?
▪ How do I prepare my Data Science teams to be the winners?
▪ How do I build a value driven AI Playbook?
AI and Digital Transformation is becoming a
fierce battlefield

11. What Drives Value?
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12. Leaders Have Plan And A Method For Their Journey
AI
Implementation
Excellence
Innovation Excellence Leader
Laggard
Laggard
Higher Cash Flow
and Profits
Leader
Actions
Data
Intellige
nce Leaders
ActionsIntelligence
Data
Laggards
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13. Action
Free summary at:
www.valueamplify.com
Value Driven Method

14. What is Value?
An action that generates a Business Performance
Improvement that is aligned with the organization CSF
and that enables the organization to make optimal use
of its resources within the context of acceptable Risks.
REJ is the framework
for effective application of technology innovation
Free summary at: www.valueamplify.com
Contact giuseppe@valueamplify.com
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15. Value = Strategic Alignment
.
OEE
CSF (Critical Success Factor)
Use data to improve operations
and increase FCC(Free Cash Flow)
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16. Realtime Monitoring and
Predictive Maintenance
Satellite
Telcom
In collaboration with
AI Use Case: Coast Guard
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17. Data Monitoring Vs AI Value: Operational Readiness (OR)
Monitoring capability of a unit/formation, ship, weapon system, or equipment to perform the missions or
functions for which it is organized or designed.
Compare to Mission risks and requirements (incl weather)
SENSORS
• 76x2 Data Points-
• 76 Equipments on Condition
• Ultrasound piezoelectric band 44-46 KHz
• Stress Wave Energy (SWE)
• Acceleration
• Vibration (1-1000 Hz) e spike energy
(5000 Hz) XM- 122 gSE Vibration
Modules (1440-VSE02-01RA)

18. Value Amplify Confidential

19. USE Case: Oil Pump
Voice of The Asset
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20. Action to Increase OEE Performances
Reactive / Informative Predictive Transformative
3. Asset
Utilization and
Maintenance
• Avoid unexpected downtime
• Avoid over- and under- maintenance
• Operate Asset as a Service
• Take preemptive corrective actions
2. Overall
Equipment
Effectiveness
(OEE)
• Create New Business Models
1. Cost of
Incidents and
Maintenance
• Free up Working Capital, Margin Contribution
• Provide Global Support
4. Intelligence
Reports
ERP, Maint. Data
• Value Creation through
Human and Machine Intelligence Confidential

21. Where Is The Value? Use case AI For Jet Engines
1.Integrated Information From Asset In Use Ecosystem 2. Location and Condition Based Monitoring 3.Voice of the Asset: Check health
4. Asset Condition and Predictions 5.Component Diagnostic with Machine Learning 6.Compare with
Planned Maintenance
7.Related Parts and Technicians Report 8.Cost Effective Scheduling of Predictive Intervention 9. Biz Outcome
Fuel
Prediction
Confidential
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22. Predictive Maintenance | Data Science in Generating Free Cash Flow
Cognitive Recommendations
What Parts have Failed?
Which Parts will Fail Before in the Next
90/180/270 Days?
Stream
Analytics
from
Sensors
Two-Class
Classification
Multi-class Regression Anomaly
Detection
Un-
supervised
Specialized
Libraries
(Vibration)
When Will More Than x% of the Production be
Outside Quality SLAs
Free Cash
Flow
(FCF)
Capital
Expenditure
Working
Capital
Given the Developing Trend What Scenario Is
Developing.
What Are The Consequences Of Situation X?
When will the Asset Fail?
When will The Top 10 Expensive Parts Fail?
Postpone and
Consolidate Interventions
Reduce Rework
Due To Machinery Tuning
How Many of These Type of Bearings will
Survive 10K Hours?
Reduce Intervention
Of External Experts
Reduce Spare Parts
Inventory
INSIGHTS
Confidential Value Amplify Confidential

23. Iterative Transformation | Roadmap to Maximize Return on Intelligence
Transforming Customer
Experience
Addressing Current Pain
Transforming Business
Operations
Remote
monitoring
Inventory
management
Demand
forecasting
Supply chain
optimization
Marketing mix
optimization
Personalized
offers
Predictive maintenance Cross-sell and
upsell
Product-as-a-
service
Data-driven
services
Fleet
management
Human and Machine Intelligence
powered by Systems of Intelligence
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24. Step 1 In A Playbook: AI Assessment
Predictive
Maintenance
Stage 1:
Reactive
Stage 2:
Informative
Stage 3:
Predictive
Stage 4:
Transformative
Stage 5:
Game Changer
OUTCOMES
Vision
Schedule and manage
using past operational
and routine performance
data
Analyze conditions and
make informed decisions
Discover new insight, and
predict likelihood and
timeframe of failures
Transform the experience
with rea-time insight,
actions and continuous
feedback
Shape new business
models with digital
ecosystem
Strategic
Intent
• Define operational
rhythm
• Meet SLAs, compliance
and warranty conditions
• Orchestrate and
leverage readily
available reports and
operational
observations
• Become purpose-driven
with connected,
complete, correct and
connected data
• Model asset-specific
plans based on the
asset condition
• Easy access to insights
on the whys and the
trends
• Manage the Voice of the
Asset
• Instrument the assets to
provide real-time data
on factors affecting
asset condition
• Predict and schedule
maintenance for desired
operations
• Operate Asset as a
Service by altering the
asset behavior in real-
time
• Take corrective actions
before a potential
failure
• Predict and perform
maintenance based on
the business impact
• Launch digital services,
leveraging design, data
and delivery insight
• Create new customer
experiences and
solutions, integrating
partner assets
• Monetize learning
KPIs
• Unplanned downtime
• Regulatory compliance
• Maintenance schedule,
time and costs
• Time between failures
• Spare parts inventory
• Annual budget
• Asset utilization
• Unexpected breakdowns
• Capital and resource
investment
• Global reach
• Revenue or throughput
per asset
• Customer loyalty
• Outcome-based pricing
• New markets
• Cross-selling
• Eco-system maturity
CAPABILITIES: Data, Intelligence and Actions
TECHNOLOGY APPROACH: Architecture Directions Value Amplify Confidential

25. Proven Path to Implementation Value
1. AI Assessment
• Engage with you to discover short term and long term
strategic opportunities
• Understand current business drivers and validate need for
new data-driven digital capabilities
• Discover and determine customer use case and plan key
business outcomes
Business Alignment
2. AI Roadmap Envisioning Workshop
• Define Use Case KPI’s and align to the overall organization
objectives
• AI Maturity Model and organization gaps
• Design approach in alignment with Blueprints and IP Kits
• Make the next steps actionable and achievable, with clear
ownership of deliverables
Data Collection and Solution Envisioning
3. AI PROOF OF VALUE
• Develop a pilot implementation plan
• Develop solution based on selected data through iterative
experimentation
• Conduct pilot process implementation
• Monitor and publish key KPIs
• Run the solution considering various scenarios
• Feed progress reviews with regular customer-centric measures
Pilot implementation
4. Action Management Masterminds
• Embed Digital solution capabilities into everyday
operations
• Create roadmap to manage transformation as a portfolio
of linked projects
• Understand that digital transformation is never over
• Perform periodic benchmarking against industry best
practices to ensure continuous improvement
Business Value Creation

26. INTRODUCTION
Prof Mascarella is a sought-after AI conference
speaker. He currently teaches AI at Atlantis
University MBA in Miami.
As a former Microsoft Group Manager he
designed and launched the WW Technology
Strategy Consulting Group.
Prof G Mascarella
Luca Ampane
At FCA/IVECO, Amapane directed development of
innovative automotive electronics systems.
SME on Adaptive Cruise Control System through
the CAN in-vehicle communication bus.
At Microsoft, led development Windows
Embedded
This Workshop Teaches Business Leaders How
To Implement AI Technologies To Serve
Customers Better Than Anybody Else.
AGENDA
1. Introduction to Artificial Intelligence
2. Extracting Value & Delivering Value
3. Predictive & Preventive maintenance
1. Jet engines
2. Marine market
3. O&G market
4. How to prepare & implement AI Playbook

27. Prof. G. Mascarella
giuseppe@valueamplify.com
Building The AI Playbook
The Workshop To Maximize Your Return On
Intelligence

28. APPENDIX

29. Prof. GiuseppeMascarella
AuthoroftheBook:
REJ (Rapid Economic Justifications)
Adj. Prof. Giuseppe Mascarella is a former
Microsoft Group Manager for the IT Architect
group and has won multiple WW awards on
leading global technology innovation programs.
He is a frequent speaker at conferences,
universities and seminars on Machine Learning. He
has trained cutting edge teams at companies such
as Microsoft.
He teaches AI At Atlantis University and Social
Media Analytics at FAU (Florida Atlantic University).
He is a Principal at Value Amplify Consulting.
Certification: