Artificial Intelligence (AI) promises huge in-process savings through transparency, higher yields through real-time monitoring and control, and back end savings as (more…)
Significant advancements in technology (Cloud, Machine Learning, AR / VR, AI, Cobotics, etc.) are underway across the manufacturing industry today. (more…)
The Artificial Intelligence (AI) in manufacturing market is witnessing significant growth because of extensive use of computer vision camera, installations of connected devices, usage of big data, and, increasing adoption of robotics by manufacturers. (more…)
Early adopters of Industry 4.0 technology and digital manufacturing will gain the competitive advantage in pricing, product quality, and customer satisfaction. (more…)
With the advent of Smart Manufacturing and the ability to easily connect devices within the manufacturing plant floor with Industrial Internet of Things (IIoT), a new challenge has emerged for IT workers. (more…)
As IT and OT environments converge and ICS environments continue to face even more advanced threats, a new approach is required. While total prevention of compromise is untenable, utilizing AI to detect (more…)
Smart manufacturing requires quick decision making. This means product and process performance needs to be monitored and provide enough data for trend, root cause analysis and prediction. (more…)
The greatest impact that artificial intelligence has is in decision support; any decision based on the analysis of data can benefit from predictive analytics, simulations and optimization. (more…)
AI enabled process control is helping foundries and automakers eliminate defects in completed products through the use of dynamic machine learning models. Predictive and prescriptive AI provide the necessary limits to control variables to preemptively avoid defects at every point of the production process, enabling real-time root cause analysis and corrective action suggestions. These corrective actions help foundries and automakers avoid cascading defects that previously resulted in costly scrapping, rework, and downtime. The implementation of AI process control translates into significant savings and ROI for heavy manufacturing companies. We will relate our experience in implementing AI for process control in the casting and automotive assembly sectors - both the successes and challenges we have faced.
The transformational potential of digitalization on manufacturing promises to shake up the manufacturing industry with new technology entrants emerging as slow to move incumbents fade. Already impacting other industries from (more…)
In the manufacturing industry, IoT is the enabler — connecting data to the machines, devices and materials across an entire ecosystem, and providing valuable intelligence to analyze the process in depth. (more…)
Throughout time, industrial revelations have defined the global economies. We’re in the midst of the next revolution: the digital revolution. The promises are vast: production at scale with lower costs and increased quality. (more…)
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This panel will bring together some of the leading AI technology providers to discuss the latest technologies, and how compare to customer expectations, as well as integration strategies. If you are interested in joining this panel, contact Shannon Given. Panelists: Rick Schweet, President • Deep Vision Data Yves Lostanlen, Industry Solutions • Element AI
Enterprises and OEMs are drowning in a flood of real-time data from equipment, assets, suppliers, consumers, and business systems. Hidden insights have the potential to optimize (more…)
With the advent of IIoT, companies have the opportunity to put larger and larger volumes of machine data to work to optimize operations like manufacturing production, safety, security, and user experience. (more…)