As it has for several years, technology is revolutionizing the world of manufacturing at all levels. Here are some of the top technology trends for 2022.
ONE: Using AI for Design
AI is being used to shorten the process of designing new products. The generative design AI processes assists engineers developing new products by keeping manufacturability in focus. This process results in the reduction of production processes in less time than relying on human engineering solely.
TWO: IIoT and Predictive Process
IIoT (Industrial Internet of Things) and predictive analytics are becoming the standard for manufacturers to remain competitive in today’s fast-changing industrial world. The “smart factory” that implements technology to minimize downtime and reduce operating costs will be far ahead of the competition.
THREE: Hyperautomation Vetting
Hyperautomation evaluates alternative business processes to determine the best for business automation. Businesses can automate several processes when implementing machine learning with AI to streamline operations.
Four: Advancing AI and Automation
Automation and artificial intelligence (AI) advancements will continue in 2022, making manufacturing production even more reliable. Gartner research finds these technological trends for the new year:
Data Fabric- a flexible, resilient integration of data sources across platforms and business users, making data available everywhere it’s needed regardless of where the data lives.
Cybersecurity Mesh- a flexible, composable architecture that integrates widely distributed and disparate security services.
Privacy-Enhancing Computation- Privacy-enhancing computation utilizes a variety of privacy-protection techniques to allow value to be extracted from data while still meeting compliance requirements.
Cloud-Native Platforms- technologies that allow you to build new application architectures that are resilient, elastic and agile — enabling you to respond to rapid digital change.
Composable Applications- make it easier to use and reuse code, accelerating the time to market for new software solutions and releasing enterprise value.
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