AI and ML Roadmap for Smart Manufacturing Published
A newly published roadmap regarding artificial intelligence and machine learning in smart manufacturing has appeared on arXiv (2605.00839v1). This document illustrates how AI and ML are transforming industrial value chains by improving efficiency, adaptability, and autonomy. It highlights significant challenges, including the complexity of industrial big data, data management, integration with diverse systems, and the necessity for operations that are trustworthy, explainable, and reliable in critical environments. The roadmap is divided into three sections: foundational concepts and trends, key application areas such as industrial big data analytics, and emerging directions. It offers an in-depth view of the present landscape and future prospects of AI in manufacturing.
Key facts
- Roadmap titled '2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing'
- Published on arXiv with ID 2605.00839v1
- Covers AI/ML evolution in smart manufacturing
- Highlights challenges: industrial big data complexity, data management, heterogeneous system integration, trustworthiness
- Structured in three parts: foundations, applications, emerging directions
- Focuses on efficiency, adaptability, autonomy in industrial value chains
- Addresses high-stakes industrial environments
- Includes industrial big data analytics as a key topic
Entities
Institutions
- arXiv