AIChE Future of Manufacturing Keynote
Enabling technologies for next-gen manufacturing can come from a large spectrum of sub-specialties, including advances in the chemistry or physics involved in a manufacturing process, as well as in the computing, communication, and sensing systems. This session seeks to highlight novel technologies with potential to be game-changing for manufacturing.In this presentation from the AIChE Annual Meeting, Plutoshift CEO Prateek Joshi discusses how AI can be used for automated monitoring of physical infrastructure across various assets and processes.
3 Onboarding Hacks for AI Platforms
Navigate your digital transformation journey with a simple roadmap for success. Get out of pilot purgatory and quickly realize the very real and tangible benefits of using an AI platform to monitor physical infrastructure.
Breaking Ground on Implementing AI: Instituting Strategic AI Programs – Moving from Promise to Productivity
While manufacturing companies see the value in implementing Artificial Intelligence (AI) solutions, many are struggling to deliver clear results and are reevaluating their strategy, according to our new report. To gauge the progress and process of how manufacturing companies are implementing AI and whether or not they are satisfied with their AI initiatives, we surveyed 250 manufacturing professionals in October 2019 with visibility into their company’s AI programs.
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Barriers and Solutions to Surfacing Value from Data in Manufacturing
As remote sensors, connected devices, and software capture a myriad of data on the efficacy of processes and the value of assets, manufacturing professionals are struggling to make sense of what all the data is saying and how to use it to improve their systems. This issue comes at a time when the costs of energy, materials and labor continue to rise and efficiency is paramount.To examine the issue and see how manufacturers can better utilize the data they are already collecting, we surveyed 500 mid-level manufacturing professionals across industries to examine data collection and value and to understand how to better utilize data for maximum value.
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