Kerryn Sakko is a chemical engineer who started her career at a large mine site in South Australia, Olympic Dam as a metallurgist across most of the surface operations.
As we navigate the complexities of our modern world, one topic repeatedly comes to the forefront: the supply chain. Learn more about supply chain tiers and traceability
It's essential to have an effective digital thread strategy that considers practical and realistic uses of AI to supercharge processes throughout the value chain. Let's look at examples of how your MedTech organization can use AI across the product lifecycle including:
Manufacturing Process Management (MPM) offers tailored value propositions that align with the unique requirements and challenges of the healthcare industry that we’ll discuss later.
If we do not grow and change, we will not succeed. Over the past decade, the automotive industry has been at the bleeding edge of developing digital thread capabilities; in a technological arms race to create the leanest, most resilient business possible.
To achieve sustainability goals, digital solutions are merging operations technology (OT) with information technology (IT) to not only drive factory efficiencies but also to advance sustainability efforts.
While ChatGPT and other Generative AI tools carve the frontier of AI maturity, a common question is "How do I put these tools into practice for my organization?”
Although the concept of medical robots may still seem futuristic, their increasing viability is driven by numerous advancements in robotic engineering and related technologies. They are now popular in fields like orthopedics, gynecology and neurosurgery.
The latest State of Smart Manufacturing report shows that improved quality is the number one outcome industrial manufacturers hope to achieve from existing smart manufacturing technology. Mithun Nagabhairava explains why quality control tops the chart for planned artificial intelligence (AI) use cases in 2024.
In today's digital landscape, harnessing data effectively and efficiently serves as the cornerstone for identifying losses and optimizing opportunities for transformative change. By embracing Production Performance Improvement (PPI), you can unlock the true power residing within your data.