Geir Jåsund examines what Industry 4.0 has delivered since its introduction in 2011. He highlights where it fell short, and how its lessons are shaping the next phase of industrial digitalisation.

Apurva Wadodkar, Sr. Director Data & AI at TI Automotive, is a data science leader driving strategic, people-first innovation at scale. It’s never easy when a small central team is tasked with moving ...

Spread the loveThe integration of Artificial Intelligence (AI) within the framework of Industry 4.0 is transforming traditional manufacturing and industrial practices. As technology continues to ...

The GenAI hype bubble has finally burst and it’s back to business as usual—worrying about paying out ransomware demands, finding the right people, decreasing supply chain reliability and figuring out ...

Industry 5.0 places sustainability, human-centricity, and resilience at the forefront - not as a reset, but as a strategic elevation of business practices. When implemented effectively, these ...

When people think about AI today, they picture software first: chatbots, recommendation engines, LLMs that live on screens and in the cloud. This kind of AI is powerful and ubiquitous, but it only ...

A huge part of this is the Industrial Internet of Things, or industrial iot 4.0. This basically means hooking up all the ...

The shift from Industry 4.0 to 5.0 is not an easy task. Industry 5.0 implementation will be complex, with connected devices and systems sharing data in real time at the edge. It encompasses a host of ...

Newly built smart factories get all the attention, but the reality for most manufacturers is figuring out how to modernize existing facilities with equipment investments they can’t simply discard. The ...

In the first part of our look at Industry 5.0, we explored the evolution of manufacturing processes, with a focus on the way in which Industry 4.0 technologies and processes have developed to make ...