Jinggong Group and Yokogawa have signed a strategic partnership to co-develop AI-powered manufacturing and energy management technologies, with plans to expand beyond China.

A deep dive into the evolution of industrial systems engineering with Rick Bullotta, exploring how data, AI, and open architectures are reshaping the future of manufacturing.

An expert-led look at how Tata Consulting Engineers is using AI to advance predictive maintenance, generative engineering, and industrial automation.

LTTS shares how it's using AI as a core enabler in digital manufacturing, transforming legacy systems and driving measurable value across industries.

Industrial AI is transforming manufacturing with plant monitoring, GenAI, and digital twins, enabling smarter, more efficient, and adaptive industrial operations.

Our conversation with John Harrington at the ARC Forum 2025 underscored the critical role of Industrial DataOps in bridging the IT/OT divide, enabling high-quality data management, and driving AI-powered business outcomes through robust Industrial-grade Data Fabrics.

At ARC Forum 2025, NanoPrecise CEO Sunil Vedula discussed the company’s innovative approach to energy-centric predictive maintenance, combining AI, IoT sensors, and GenAI to enhance fault detection, improve energy efficiency, and deliver rapid ROI for asset-intensive industries.

Manesh Murali, Co-founder and COO of Parabole.ai, discusses how Causal AI enables enterprise-wide optimization by moving beyond correlation to causation, enhancing decision-making across industrial sectors.

The discussion between CESMII's John Dyck and ARC Advisory Group’s Colin Masson at the ARC Industrial Leadership Forum 2025 explored the role of industrial data fabrics in overcoming legacy system challenges, improving data quality, and advancing smart manufacturing through standardized data models and open APIs.

AI and Agentic AI are revolutionizing ER&D by enhancing automation, compliance, and efficiency across industries like aerospace, healthcare, and manufacturing.