Harnessing Generative AI for Innovation, Resilience, and Efficiency in Industries

Journal of Innovation Call for Abstracts

We are pleased to announce a call for papers exploring the evolving role of Generative AI in the industrial landscape. As industries worldwide embrace AI-driven transformation, we invite research and case studies highlighting the real-world impact of Generative AI on operational strategies, workforce adaptation, and industry-specific challenges. Submissions should emphasize practical applications, implementation challenges, and measurable benefits from real-world pilots and deployments.

Topics of interest include but are not limited to:

Generative AI in Industrial Operations & Automation

• Generative AI for Next-Generation Product Design and Prototyping
• AI-Augmented Manufacturing: Enhancing Automation and Precision
• Generative AI in Industrial Cybersecurity: Threat Detection and Risk Mitigation
• AI-Driven Sustainable Practices: Reducing Waste and Optimizing Resource Use
• Transforming Supply Chain Resilience with Generative AI
• Generative AI and Customization: Mass Personalization in Manufacturing

Agentic AI and Autonomous Systems in Industry

• AI Agents for Autonomous Industrial Decision-Making and Problem-Solving
• Multi-Agent Systems for Industrial Process Optimization
• The Role of Generative AI in Industrial Digital Twins and Simulated Environments
• AI Agents in Supply Chain Management: Intelligent Forecasting and Logistics
• Human-AI Collaboration in Industrial Workflows: Adaptive AI Agents and Workforce Integration

AI-Driven Industrial Intelligence & Predictive Analytics

• The Role of Generative AI in Predictive Maintenance and Smart Factories
• Generative AI for Real-Time Anomaly Detection and Process Optimization
• AI-Augmented Research & Development in Materials Science and Engineering
• Generative AI in Industrial Data Processing: Automation of Complex Data Pipelines

 Ethical, Legal, and Governance Considerations

1. Ethical, Legal, and Regulatory Considerations for Generative AI in Industry
2. AI Governance and Trust: Ensuring Transparency in Agentic Computing
3. Bias and Fairness in AI-Driven Industrial Decision-Making

We welcome interdisciplinary perspectives and encourage authors to present empirical studies, innovative frameworks, and thought leadership on the impact of Generative AI across various industries.

Complete the abstract form, and send it to karen@omg.org for consideration for the upcoming edition.

Important Deadlines

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