Making the value of technology clear
What defines Manufacturing in the Age of AI? How much progress are companies making toward Industry 4.0? What data management elements have leading manufactures put in place to support rapid decisions? Our eBook Manufacturing in the Age of AI explains the findings of our survey of over 300 manufacturing professionals. It reveals answers to these…
I feel rejuvenated after a briefing with Apprentice. Their Tempo suite is a fresh approach that marries the latest enterprise mobile and SaaS technologies with composable applications for pressing industry issues. Yes, there’s a SaaS MES – but there is more for the plant, quality lab, enterprise, and manufacturing network. It serves the product lifecycle,…
How can life sciences manufacturers accelerate their innovation? One way is by recognizing and creating an operational digital twin that’s connected to MES. We will discuss: How digital twin of operations and MES support rapid innovation while ensuring high-quality, compliant, and cost-effective operations Why manufacturing matters through the lifecycle of life sciences products starting in…
What are realistic expectations for a manufacturing execution system (MES)? Should you expect more from MES? MES has been available for decades. That is good news and bad news. Those with experience of older systems – and even many MES offered today – may have a limited view of what such a system can do….
How can manufacturing software accelerate life sciences innovation? By combining MES with an operations digital twin. Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systemes(registration required). Table of Contents Rapid Life Sciences Innovation New Realities and Opportunities Manufacturing Must Keep Pace Digital Twins: Marrying Virtual and Real Operations Digital Twin…
How far along are manufacturers in their journey toward using AI for decision-making in production? We want to know from you! We are conducting an update of our 2021 research The Manufacturing Data Challenge. Questions include: How are companies managing the diverse data sets in their manufacturing operation? Are companies ready to use AI and…