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.
We’ve been exploring technology as a trend in MedTech, so let’s dive deeper. The growth of Smart Connected Products (SCP) continues to drive advancement and affect the Internet of Medical Things (IoMT), such as devices and sensors. The list of applications of IoMT continues to grow including ventilators, anesthetic machines, “smart” orthopedics, “smart” wound patches (e.g. for diabetes patients), infusion pumps, pacing devices, organ support and a large array of monitoring devices.
The advancement of AI/ML in everyday life is impacting us exponentially with smart homes, self-driving cars and large language models like OpenAI GPT-x and Google’s Gemini. It is suddenly around us in subtle and not-so-subtle ways. There are many ways AI/ML is affecting the MedTech industry. This includes the integration of AI/ML within the medical device itself
A closed-loop operating model & framework implemented with a digital thread capability needs to be supported by four capability pillars for orchestrating and operationalizing the process.
Adoption of the digital thread will create opportunities for medical device companies to better serve more people around the world with increasingly innovative and affordable diagnostics, treatments and combination devices.