The Dawn of Artificial Intelligence—Foreseeing Manufacturing in the Cognitive Era

Investigating Cognitive Technologies that will Reshape Manufacturing Value Chain in the Future

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The impact of information technology (IT) on the manufacturing industry has been tremendous in recent times. With an increasing number of machines being connected to the Internet, data are being generated in huge volumes. Advancements in real-time data processing and predictive analytics further help in discovering newer ways of utilising the data to generate insights for effective decision making. Today, The Internet of Things (IoT) and data analytics are the two main technologies that are driving the manufacturing space. Currently, most machines are embedded with low-level logical processors that demand a considerable amount of human intervention in making logical and reasonable decisions. Cognitive manufactu

Table of Contents

1. Executive Summary
Key Findings
2. Industrial Internet of Things (IIoT)—A Research Perspective
IIoT—Emerging Themes in the Industrial Environment
IIoT—Key Attributes of a Smart Factory
Frost & Sullivan’s Value Proposition in IIoT
3. Rise of Cognitive in Manufacturing
Defining Cognitive Technologies in Manufacturing
Cognitive Technologies in Manufacturing
Evolution of Smart Industrial Machines
Cognitive Intelligence—Current possibilities and Gaps
Potential Applications of Cognitive in Manufacturing
Key Benefits and Future Potential of Cognitive Intelligence in Manufacturing
4. Industry Landscape—Powerful Examples of Cognitive Intelligence in Manufacturing
Early Entrants in the Cognitive Computing—A Market Snapshot
Industry Collaboration on AI
Use Case—IBM Super Charges Operations for Schaeffler
Use Case—Google Uses AI to Optimise Energy Savings
Use Case—FANUC to Build Futuristic Factory with NVIDIA’s AI Platform
Competitive Strategy—GE Taking Acquisition Route to Build AI Capabilities
Competitive Strategy—Microsoft and Jabil Usher in Factory Floor Cognizance
Use Case—Quality Control through Vision and Pattern Recognition
Value Chain Eco system for Cognitive Manufacturing
5. Key Trends in Cognitive Manufacturing
Trend1—Surge in Adoption of Autonomous Robots in Manufacturing
Trend2—AI Feeds on Data to Generate Cognitive Insights
Trend3—Machine Learning to Drive the Evolving Manufacturing Landscape
Trend4—Economic Growth Up, Human Employment Down with Advancing AI in Manufacturing
6. Industry Challenges
Challenge1—Impact on Factory Jobs of with AI in Shop Floors
Challenge2—Dealing with Inconsistent Data Format
Challenge3—Volatile Cognitive Landscape
Catalysing Change in the Way Manufacturing Works
7. Growth Opportunities and Forecasts
Cognitive Manufacturing—SWOT Analysis
Market Strategies for AI Suppliers (based on SWOT)
Cognitive Manufacturing—Market Penetration Analysis
Key Findings from Market Penetration Analysis
Growth Opportunity1—Partnerships and Collaborations
Growth Opportunity2—Data-driven intelligence
Strategic Imperatives for Success and Growth
8. The Last Word
Future Trajectory of Cognitive in Manufacturing
Cognitive Factories—The Road Ahead
Legal Disclaimer
9. Appendix
Market Engineering Methodology


List of Figures & Charts

1. Cognitive Manufacturing: Market Penetration Analysis, Global, 2017
2. Cognitive Manufacturing : Evolution of Cognitive Technologies, Global, 2017


1. Cognitive Manufacturing: Defining Cognitive Technologies, Global, 2017
2. Market Opportunity Matrix—Cognitive Technologies in Manufacturing, 2017–2021



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