May 2026

Balancing Manufacturing Output with Energy Consumption Through Automation

VISION-High-tech-robotic-welder-in-modern-metal-factory-482854273_669x527

For most manufacturers, energy has long been treated as a necessary cost of doing business — something to manage, but not something that fundamentally shapes how operations are designed. Production targets, throughput, and labor efficiency have historically driven decision-making. Energy, by comparison, has remained in the background, showing up mainly as a monthly line item. That dynamic is starting to change.

CONTINUE READING

WATCH THE AUTOMATE PRE-NOTE

Streaming June 9 | 11 AM ET on YouTube and LinkedIn

Modern industrial organizations aren't short on technology; they are short on connected outcomes. Too often, value is lost between data insight and floor-level action. This "pre-note" explores how to bridge that gap by integrating energy intelligence and software-defined automation to move from advice to execution.

LEARN MORE

AGE OF AUTOMATION SERIES: KOMATSU

The Mining Tech With People at the Centre

Under a vast sky coloured with smoky blue morning light, giant trucks haul their load along roads that wind their way out of the earth. Charlotta Oscarsson, a pit patroller at Boliden, surveys their progress from her 4x4.

The winter weather is turning, and snow now falls in this remote part of northern Sweden, but the trucks continue undeterred.

Produced for Komatsu as part of the Age of Automation series.

READ NOW

Matthew Johnson-Roberson on Why Physical AI Still Has a Missing Piece

Episode 38 Thumbnail Automated - Matthew Johnson-Roberson

Physical AI is moving fast. But Matthew Johnson-Roberson says robotics is still missing something fundamental. The field has data, models, and momentum, but it still does not have the simple learning objective that helped language models scale so quickly.