As we enter 2022, I believe we’ll continue to see AM play a critical role in transforming manufacturing workflows and supply chains. Significant delays in logistics are hampering organizations’ ability to deliver products and services in a timely fashion. Being able to manufacture all critical components at the point of assembly, or point of care, can streamline these activities.
Data and the software needed to generate useful information or applications are considered by the experts, whether in manufacturing execution systems, the digital thread, the digital marketplace, or big data. Receiving fewer mentions were distributed ledger technologies and FinTech – here NFT’s, decentralized networks and blockchain-based systems were on the expert’s radar – but of note to fewer responders. Likewise, while fascinating topics, synthetic biology, and materials received only a couple of mentions.
We’re seeing machine learning/artificial intelligence playing a more important role in additive manufacturing – powering software that is underlying the entire manufacturing workflow. Not only is machine learning optimizing organizations’ use of 3D printing, but it is also optimizing other advanced manufacturing technologies, including robotic welding, machining, finishing, and inspection operations, in full production environments. While this technology is playing an important role within our industry, I believe it will play a significant role more broadly within society over the coming decade.
We’re already seeing how cloud-based intelligent systems are making our lives easier, and more efficient. If we’re ordering take-out through an app, or a ride via one of the well-known ride-share services, machine learning/AI is already playing a role. We’re also seeing this technology’s influence in healthcare, whereby virtual visits with a physician are removing the need to take time out of our busy schedules to physically drive to a medical office. Instead, we can request a virtual appointment, and through the power of our laptop or smart device, from the comfort of our own homes, both patient and physician can discuss and assess symptoms for the physician to render a diagnosis and prescribe a treatment. Over the coming decade, I think we’ll see the role of machine learning continue on its upward trajectory, influencing in a greater way how we interact with one another and closing the physical gap to bring society virtually closer.
MR can do just that, providing real-time support that can guide PSP through troubleshooting as they work, ensuring self-sufficiency and smoother operations around the clock.
In order to support this digitization, the broad implementation and acceptance of Distributed Ledger Technologies will be required to protect digital transactions and ownership of digital assets.
One of the key blockers in the adoption of large-scale additive manufacturing today is the predictability and repeatability of production. Artificial intelligence, through the use of machine learning algorithms, goes a long way in solving this through early defect detection, process prediction, and monitoring through closed-loop control.
In early 2022, deeply integrated real-time simulation is somewhat new in the design process. We’d expect to see this become very significant in the next decade for a common-sense reason: you can enjoy no-cost experimentation in the digital world to find and fix basic errors and ensure that analysts spend their time on complex issues c move more quickly and accurately. Let me be clear on this.: no technology can guarantee innovation. Full stop. But technology can create
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Tamilnadu, India, effective learner,hard work, my Will ability
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