Industry 4.0 adoption and the impact of Big Data in Manufacturing, Lifesciences, & Agribusiness. Keywords Big Data, Data Science, Automation, Cognitive Technology IoB, Internet of Things IoT, autonomous machines, Blockchain & cyber security, augmented reality, edge computing, cloud technologies, interconnection, supply chain, infrastructure, IaaS, PaaS, SaaS, Technology Strategy

1. INDUSTRY 4.0
The impact of Big Data in
Manufacturing, Lifesciences, & Agribusiness
Tery Lockitski, November 2020

2. Industrial Revolution Phases
“Creativity is thinking up new things.
Innovation is doing new things.”
– Theodore Levitt
INDUSTRY 1.0
INDUSTRY 2.0
INDUSTRY 3.0
INDUSTRY 4.0
Mechanization
Steam Power
Printing Press
Mass production
Electricity
Assembly Line
Computers
Nuclear Power
Electronics
Cyber Virtual
Wireless
Fiber Optics
Digital Assets
1780s 1870s 1970s Today

3. MATURING TECHNOLOGIES THAT ACCELERATE DIGITAL TRANSFORMATION
Industry 4.0 Innovations
Internet of Things (IoT)
• Connected Sensing Devices
• Biometric Scanners
• Field operation tracking
Cognitive Computing (IoB)
• Speech Recognition
• Proactive Diagnostics
• Behavioral Pattern Recognition
Blockchain & Security
• Authenticity Certification
• Privacy & Cybersecurity
• Encrypted Transactions
Big Data
• Artificial Intelligence
• Machine Learning
• Predictive Analytics
• Democratised Data
Autonomous Machines
• Robotic Production
• Autonomous Machines
• Remote Machine Control
Simulation/Augmented Reality
• Scenario simulation
• Virtual scenario experiences
• Multimodal sensory engagement
Interconnection
• Integrated systems
• Connected Equipment & Data
• Physical-Digital Connection
Additive Manufacturing
• 3d Printing
• Selective Machining
• Biological Production
Cloud/Edge computing
• Real-time integrated computing
between local & remote access
• Disaster Recovery
• Compute force multiplier

4. •External Data
•Heuristic Data
•Abbott Product Data
•Abbott Business
Applications
DATA SOURCES
•Stateless interconnection
•Integration services
•Sense & extract
INGESTION
•Data Warehouses
•Data Lakes
•Structured, semi-
structured, unstructured
DATA STORE
•Normalization with
business rules applied
•Data objects and rule sets
TRANSFORMATION
•Analytical Models
•Data Model Rules
•Curated Models
•Governance
•Modelling Environment
CURATE & SERVE
OPERATING AS ITS OWN END-TO-END ECOSYSTEM WITHIN INDUSTRY 4.0.
Big Data as a closed loop value chain
Governance & Compliance
Cyber Security Rights
Management
Vendor
Management
Asset
Management
Regulatory
Compliance
Risk
Management
Access
& IDM
Data
Stewards
Architecture & IT Domain Leaders
Data Science
Machine Learning Trending & Profiling Data Mining AI/Predictive Analytics
Decision Matrices
Business Process Owner(s)
Heuristic data closing the loop
Hyperscalers like GCP, Azure, GCP, etc provide these standard PaaS capabilities
CONSUME
•Heuristic Insights
•Visualizations
•On Demand Dashboard
•Predictive Reporting

5. USE CASES IN MANUFACTURING, LIFESCIENCES, & AGRIBUSINESS
What Industry 4.0 could look like.
Internet of Things (IoT)
• Real-time sensing & tracking of
inventory, equipment, or
personnel
• Large scale field monitoring
Blockchain & Security
• Contract management
• Inventory traceability
• Counterfeit fraud prevention
Big Data
• Financial Decision Trees
• Commodity Price Trending
• Predictive Sales Scenarios
• Integrated P2P to O2C
Autonomous Machines
• Human Hazard Reduction
• Remote Field Operation Control
• Automated MTO production
Simulation/Augmented Reality
• Safe, Simulated Lab Experiments
• Virtual warehouse walkthroughs
• Medical Treatment Simulation
Interconnection
• Integrated Supply Chains
• Connected Farm Equipment
• Integration of ERP to physical
inventory monitors
Additive Manufacturing
• On demand Parts/Tool
Production
• Material/Ingredient Parsing
• Biological Replication
Cloud/Edge computing
• Predictive Maintenance
• Automated Fleet Management
• Remote Asset Monitoring

6. TERY LOCKITSK I
Tery is currently a board member for i03 partners, a
cloud platform and IoT device manufacturer. With
over 25y experience as Chief Digital Officer at Tate
& Lyle, Chief Technology Officer at Pepsico, Vice
President Supply Chain at Hitachi, and Senior
Executive at Accenture, Tery has become a subject
matter expert at Manufacturing M&A, Supply Chain
Digitization, and IT Transformation.
When not problem solving or evangelizing Industry
4.0, she can be found climbing mountains, saving
forests, paragliding, or gardening with her family.

7. TRANSFORMING WITH INDUSTRY 4.0 TECHNOLOGIES IN MANUFACTURING
My Real World Use Cases
Internet of Things (IoT)
• Product disposition, inventory level tracking,
and asset/personnel activity monitoring
• On-demand operational monitoring of +10
warehouses
• Outcomes: 11% productivity improvement,
99.5% inventory accuracy, 6% reduction DII
Big Data
• FP&A Decision Trees
• Commodity Price Trending
• Democratized Commercial Data
• Integrated P2P to O2C
• Outcomes: Reduced AOP 30% (from months to
weeks), 11% improvement of Demand Forecast
Accuracy, Expediting Costs reduced 6%
Simulation/Augmented Reality
• Safe, Simulated Lab Experiments
• Virtual warehouse walkthroughs
• Medical Treatment Simulation
• Outcomes: 100% EHS compliance, 40%
increase concurrent lab experiments,
enablement of remote/virtual lab
walkthroughs for customers
Autonomous Machines
• Remote Production Controls
• Touchless picking & sorting
• Outcomes: 12% reduction plant
maintenance cost, 9% increased
productivity for +6 plants
Cloud/Edge computing
• Predictive Maintenance
• Automated Fleet Management
• Remote Asset Monitoring
• Outcomes: reduced plant maintenance costs
6% over 3y, real-time track & trace of order
movement, on-demand asset tracking
Interconnection
• Integrated SRM to Customers
• MRO supplier network
• Connected Plant Equipment
• Full ERP Integration to PLM
• Outcomes: improvements included 22%
working capital, 18% savings
procurement, 11% contract conversions

8. Inquiries
Tery Lockitski
c/o Louise Brayer, Public Relations
Tel: +1.312.945.8379
Email: LBrayer@lockitski.com