AI Innovations in Future of Manufacturing

Intelligent Manufacturing Technologies Enable Cognitive Factories

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Information technology has been largely impacting the manufacturing industry. With the increase in the number of IIoT solutions and real-time data processing, predictive analytics is enabling processing of large volumes of data captured from the connected machines. The current scenario includes involvement of humans in making logical decisions along with low-level machine processors. The concept of artificial intelligence (AI) or cognitive intelligent systems will thus enable machines to self-detect vicissitudes in the manufacturing processes and be in-built with capabilities to respond in real time with limited need for human intervention. Mass customization, complete automation, adoption of intuitive robots,

Table of Contents

1.0 Executive Summary1.1 Research Scope1.2 Research Methodology1.3 Explanation of Research Methodology1.4 Key Findings1.4 Key Findings (Continued)2.0 Technology Status Assessment2.1 Cognitive Manufacturing Era2.2 Current Scenario in the Manufacturing Industry and the Need for Advancements2.3 Adaptable Agile Technology over Rule Based2.4 Benchmarking of Current Technology with AI2.5 Supply Chain and How Organizations Are Adopting and Aligning Themselves? 2.6 Current Trends and Competitive Strategies of Organizations2.7 Technology Trends2.8 Impact of Artificial Intelligence Changes the Manufacturing Industry2.9 What are the Key Focus Areas within AI ?2.10 What are the Key AI tools? How do they Help AI to be Used in Manufacturing?3.0 Intelligent Manufacturing Systems Implementation Cases3.1 AI Facilitating Development of Intelligent Manufacturing3.2 Analytics Based on Acoustic Sound Captured Using Smart Sensors3.3 Cognitive Analytics Enables 5% Reduction in Operational Costs3.4 Vision-based Analytics Allows Effective Leveling 3.5 Eliminating Waste in Production Lines with Automated Vision Systems3.6 Recognition of Defective Objects Using Machine Learning3.7 Innovations in AI Enable Cost Savings3.8 Improved Operational Savings within Three weeks Using Analytics3.9 3D Printer with AI ?4.0 Assessment of Market Potential4.1 AI: A Growing Market4.2 Research Focus Areas4.3 Factors Driving Adoption4.4 Unique Challenges in Industrial Artificial Intelligence4.5 Global initiatives4.6 Companies to Action5.0 Strategic Viewpoint5.1 Strategic Viewpoint on Adoption Factors5.2 Impact Analysis of AI in the Manufacturing Sector5.3 The Road Ahead5.4 Key Conclusions6.0 Key Patents and Contacts6.1 Key Patents on Deep Learning in Manufacturing Sector6.2 Key Patents on Machine Learning in Manufacturing Sector6.3 Key Patents on Machine Vision in Manufacturing Sector6.4 Key Patents on NLP in Manufacturing Sector6.5 Key Contacts Legal Disclaimer

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