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Smarter Machines, augmented automation, and near-real-time translations power up medical device manufacturing.
December 21, 2023
By: Steve Bieszczat
Chief Marketing Officer at DELMIAWorks
Advances in artificial intelligence are enabling new levels of automation and data-driven decision-making. At the same time, the ready availability of cloud-based manufacturing solutions, with their scalability and compute power, are helping to level the playing field for small to medium manufacturers. In 2024, we’ll see a continued move toward greater adoption of smart manufacturing across medical device companies of all sizes. While manufacturing automation/tools/robots are inherently on-premises systems, we’ll see these systems connect to cloud-based solutions that offer new types of augmented automation or intelligence. The following are the top technology trends to watch out for in the upcoming year. AI is Increasingly Supplementing Worker Knowledge Medical device manufacturers will increasingly use artificial intelligence to supplement the knowledge of workers in their organizations. This is being driven by two factors. One is the graying workforce where manufacturers need to capture the insights of their in-house experts before they retire. Early projects among large medical device manufacturers are not only capturing what an expert has done in the past; they’re also using AI to replicate what that expert would have done in a new situation based on their previous approach to the job. The other factor is the continuing industry consolidation where manufacturers going mergers and acquisitions end up losing some experts while building more complex businesses. Many times, the person in charge of scheduling or forecasting doesn’t really understand how that process was handled by the acquired company. This is leading more medical device manufacturers to rely on intelligence-driven forecasting and scheduling software to automate processes and apply consistent best practices across the organization. AI Helps Extract Greater Value from Machines More medical device manufacturers will rely on artificial intelligence to get even greater value out of the machine vision systems they’ve been running for years. Now it’s possible to upload pictures of what good and bad parts look like to an AI engine in Cloud to train the machine vision system. Then, live camera feeds from the system to the cloud can automate the process of identifying bad parts instead of relying on manual inspectors. This introduces a level of efficiency while reducing costs and minimizing the risk of manual errors. AI Translates Conversations in Near Real Time One of the persistent challenges for medical device manufacturers with global markets and supply chains is the natural language barrier. Even if all parties agree to communicate in a common language, most often English, minor translation errors can lead to misunderstandings. In 2024, we will see web conference services start to provide AI-driven, automated translations of conversations in near real time. Robots as a Service Becomes a Practical Business Model The rapid, AI-driven learning of robots is making robots as a service a practical business model. The way a robot learns is being advanced all the time by just putting it through the motions and giving it recovery routines. However, the previous pace of learning meant it wasn’t practical to use a robot unless a medical device manufacturer was using it to do the same thing for a year or more. Now, with the rapid pace of learning, a robot can be trained to do half a dozen different jobs in just a few days. And since the software running the robot is in the cloud, the person programming it doesn’t need to physically be there; they can be anywhere in the world. This makes robotics as a service a viable alternative to purchases or long-term leases.
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