Industry 4.0

This is the first article of a series on how to decide whether to build or buy software. To start, we explain the three critical strategy questions important to answer up front.

Micron is using AI models to analyze 3.3 million images each day, which contributes to a 50% reduction in new product ramp time, and 18% increase in labor productivity. Micron expects the greatest AI contributions in intelligent analytics, intelligent robots, and content generation.

How manufacturers can accelerate transformation and stay ahead of the competition in 2024 and beyond.

In regulated industries such as medical device manufacturing and pharma, where adherence to strict standards is paramount, embracing the agile flexibility presents its own set of challenges.

Digital Twin is a concept, not an application, and definitely not a shortcut to achieving smart manufacturing benefits. Unfortunately, it is necessary to understand that the path to I4.0 is a path of sophistication, but also of maturity.

How can a MedTech manufacturer secure its position as a valued partner in the fast-changing healthcare industry? It all comes down to being reliable on many fronts.

AI has always been a topic filled with concern and curiosity when it is discussed in manufacturing. Manufacturing leadersneed to look at AI pragmatically, focusing on its potential in current operations instead of concern over an AI takeover.

By applying a graphical treatment and a uniform set of evaluation criteria, the Gartner Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.

The entire plant must have access to the data it needs at all times, from any area of the facility and beyond. Plus, anywhere in the enterprise might need access to accurate, timely, and in-context data from production.