Automating the Future of Manufacturing Plants
Redefining Supply Chain Management
The Industrial IoT Attack Surface
Be Change Ready in an Evolving Manufacturing Vertical
IT in the Consumer Durables Manufacturing Space
Art Sebastiano, CIO, SharkNinja Operating LLC
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Matt Meier, VP and CIO – North America, Whirlpool Corporation
Machine Learning in Manufacturing: Moving to Network- Wide Approach
Paul Boris, CIO - Advanced Manufacturing, GE
Internet of Things
Tom Basiliere, CIO, Provant
AI in Manufacturing for a Brighter Future
For a broad range of businesses such as games, banking, retail, and corporate, AI-driven technologies provides a range of advantages—new opportunities, greater productivity, and more human interaction. The Fourth Industrial Revolution is a knowledge automation task that enables people to reconstruct the way they live with machines and work together in order to improve and strengthen the digital economy by developing new ways of automating tasks. Now, the artificial intelligence technology moves into production and software for the learning of machines, and patterns could be the center of the process.
Deloitte data show that the manufacturing skills gap will widen by 2025 and 3.4 million skilled employees will be required, two million of which will not perform their duties. In addition to the nearly 700,000 jobs created by industry growth, this void will be driven by 2.7 million workers who retire or leave the industry by 2025.
New technologies have always been open to the manufacturing industry. Since the 1960s, drones and industrial robots have been part of the production industry. The next revolution in automation is around the corner, and the U.S. production industry is eagerly waiting for this change. If companies can keep their inventory lean and reduce the cost, the adoption of AI will likely result in stimulating growth for the U.S. manufacturing industry. Manufacturing automation tends to concentrate on industrial robots for apparent reasons. The robotics market is increasing at an unprecedented rate, and the job losses of individual workers on production lines are caused by misguided automation, often taking shape as regards robots.
Manufacturers always seek ways to improve their margins. In order to operate a lesser facility and proactively address potential concerns, the information generated by AI is vital. The longer there is a condition, the more money the manufacturer spends. AI helps organizations to remain ahead of the performance of their assets and have an effect on their results. This trend is ongoing. It will also contribute to creating more jobs for the next generation of talent that are keen to work with the latest technologies. The roles that support it will also change as the industry continues to evolve. The future employees will not only be focused on maintaining machines but will also learn from the data generated.
Nevertheless, the supporters of AI argue that technology is just evolutionary automation, the result of the Fourth Industrial Revolution. AI will be able to create innovations, improve them, and make them cheaper in the future. But human ingenuity cannot be substituted for the unforeseen changes in tastes and demands.