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How could AI and automation tackle the UK's collapse in car manufacturing?

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The U.K. automotive industry has been a pinnacle of excellence over the last century. However, during the last few decades, sectoral shifts and an evolving competitive landscape have adversely affected the industry, with the pandemic further aggravating these challenges by throwing the demand-supply equilibrium into disarray. The recent and historic fall in car manufacturing in July – which saw production fall to its lowest level since 1956 - is a combination of factors. In an industry as resource intensive as car manufacturing, the success of every manufacturer hinges on how well they navigate both local and global market challenges, such as staffing and material shortages. On one hand, the'pingdemic' has meant that carmakers have had to deal with unexpected staff shortages at a local level. More globally, the rising prominence of semiconductors in today's tech-powered products have meant that if manufacturers can't cope with an ongoing microchip shortage, production often comes to a grinding halt.


RPA migrations hastened through API bot interactions

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All the sessions from Transform 2021 are available on-demand now. Blueprint Software Systems has released a new solution for robotic process automation (RPA) migrations to the Microsoft Power Automate platform. This could tilt the balance in the RPA market toward Microsoft's lower-cost offerings with native integrations into popular productivity apps. Leading RPA companies, including UiPath, Automation Anywhere, and Blue Prism, have an extended lead time over Microsoft. These companies have developed a substantial base of loyal enterprise customers.


Top 10 Use cases of Artificial Intelligence In Manufacturing

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There is no doubt that over 60% of manufacturing companies are using AI technology. AI in manufacturing cuts downtime and ensures high-quality end products. Moreover, manufacturing companies are applying AI-based analytics solutions to their information systems for improving work efficiency. AI in manufacturing will have a crucial impact on the smart maintenance of the production environment. To avoid sudden damages to machinery, manufacturers are predictive solutions.


Complete guide: 10 smart factory trends to watch in 2019 Internet of Business

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Internet of Business's comprehensive guide to where Industry 4.0 will lead manufacturers in the year ahead. Most manufacturers believe they are leading their markets in Industry 4.0 technologies, despite evidence to the contrary. There is a huge gap between the many companies that are exploring digital manufacturing strategies – via technologies such as automation, robotics, AI, and the Internet of Things – and those that are implementing them successfully. With Brexit looming, many manufacturers and solutions providers fear what this will mean for the wider European industrial community, which depends on the free movement of people and confident investment. The UK Budget recently sought to soften this blow by reinforcing the UK's commitment to a strong environment for international scientific collaboration. As part of this investment in R&D, the government will increase the Industrial Strategy Challenge Fund by £1.1 billion, supporting technologies of the future. This includes up to £121 million for the Made Smarter initiative to support the transformation of manufacturing through digitally enabled technologies, such as the Internet of Things and virtual reality.


Factories Of The Future Need AI To Survive And Compete

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Today's consumers are pickier than ever. They want customized, personalized and unique products over standardized ones and prefer local, smaller producers over large-scale global manufacturers. At the same time, they also expect locally-produced products to be as cheap and reliable as those industrially produced. Factories, power plants, and manufacturing centers around the world must rely on automation, machine learning, computer vision, and other fields of AI to meet these rising demands and transform the way we make, move, and market things. Since the industrial revolution, factories have been optimized to mass produce a few products rapidly and cheaply to satisfy global demand.