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

We are pleased to announce the 28th edition of the Journal of Innovation (JoI), exploring the evolving role of Generative AI (GenAI) in the industrial landscape. As industries worldwide embrace AI-driven transformation, we invited research and case studies highlighting the real-world impact of GenAI on operational strategies, workforce adaptation, and industry-specific challenges. The issue features a diverse collection of articles that delve into various aspects of GenAI, offering actionable insights and thought leadership on the following topics:
- Generative AI for Automated Negotiation - by NEC Corporation
This paper explores the transformative potential of Generative AI in automated negotiation, particularly within business and industrial contexts. Traditional automated negotiation systems, grounded in game-theoretic and decision-theoretic approaches, often suffer from rigidity and a lack of context awareness, limiting their effectiveness in dynamic, real-world environments. By leveraging Generative AI, particularly large language models and multimodal time-series forecasting, the authors propose more flexible, adaptive, and context-sensitive negotiation protocols and strategies that can better accommodate complex preferences, evolve in response to changing market conditions, and capture nuances in human interactions. - Generative AI and Geospatial Data - by LunateAI and IGnPower Inc
The article explores how Generative AI is reshaping geospatial data, transforming Earth Observation and IoT sensor streams into socio-economic datasets and actionable insights. It highlights applications in climate resilience, disaster response, agriculture, and national security, where AI enables real-time intelligence and proactive decision-making. Featuring innovations from AWS, Google Research, IBM, and Microsoft, the piece highlights the value of business and ethical considerations while mapping strategic opportunities for sustainable innovation and global collaboration. Generative AI emerges as a cornerstone of geospatial progress. - Cognitive Agent Frameworks for Autonomous Industrial Decision-Making: Practical Lessons and Implementation Safeguards - by XMPro Inc.
This article examines architectural approaches for implementing cognitive agent frameworks in industrial settings, drawing on anonymized case studies from manufacturing, energy, and mining deployments. We present empirical findings on reliability metrics, decision quality improvements, and safety performance from real-world implementations. Case studies include a manufacturing Control Loop Optimization Team that achieved significant annual business value while maintaining 88% availability and 84% efficiency targets, as well as energy sector predictive maintenance systems that substantially reduced unplanned downtime. - Beyond AI Agents: Creating the Conditions for Breakthrough Intelligence - by STEM-TEC LTD, Resurface Behavioural Health Ltd, and inloop.studio
This paper explores the design of innovative processes that respect human psychology and tap into the wisdom stored in feelings, not just files. The addition of agentic AI – AI that actively participates as a team member – can transform these processes at every stage. The result is a virtuous cycle: a system where humans and AI work together to create an environment of curiosity, trust, and high performance. Innovation ceases to be a stressful high-stakes push and becomes more of a pull – drawing out the best ideas naturally