News and Insights

Categories
Critical Issues
Sectors
Member Roles

Orchestrating Material Handling with AI & Automation

AI, automation, virtualization and secure IT/OT orchestration can turn material handling constraints into scalable competitive advantage. A unified digital foundation helps manufacturers reduce risk, unlock data and optimize operations across the enterprise.

Building an OT Organization in an IT World

Manufacturers need intentional IT/OT structures to clarify ownership, automate workflows, and close capability gaps. A future-ready organization should fit company size, talent access, and evolving digital needs.

Survey: GenAI Adoption Surges In Manufacturing

Manufacturers are rapidly adopting generative AI, with 71% already using it and nearly 90% planning to expand use in two years. Most have corporate AI policies, though maturity remains early amid data and skills challenges.

Practical AI Steps to Build Smarter Factories in 2026

AI is helping factories improve speed, resilience, and profitability by embedding digitization and automation into daily workflows. Successful 2026 pilots start with business outcomes, use ready data, and scale through human-in-the-loop governance.

Survey: Smart Factories Enter the Execution Era

Manufacturers say smart factories have moved into an execution era, with AI maturing, digital transformation becoming a competitive advantage, and more than 90% planning to maintain or increase investments in 2026.

The Best of Executive Dialogue

2025 Executive Dialogue highlights how manufacturing leaders are using AI, Industry 4.0 and digital culture to drive transformation, build talent, and prepare for the future.

Mastering Manufacturing Data for Real Advantage

Manufacturers generate vast data, but fragmented systems and weak governance limit its value. A staged approach focused on reliability, ownership, and monitoring turns data into faster, more confident decisions.

5 Key Questions on the Path to Industrial DataOps

Industrial DataOps helps manufacturers turn siloed data into real-time insights, improving agility, continuous improvement, and smart manufacturing. A data product strategy and unified standards can scale value across factories, supply chains, and future AI needs.