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Chapter 6 AI Transforming Manufacturing and Life Sciences
Chapter 6 AI Transforming Manufacturing and Life Sciences
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20 Leslie D’Monte, ‘How L&T Is Engineering an AI-driven Conglomerate’, LiveMint, 24 April 2024, https://www.livemint.com/companies/how-l-t-is-engineering-an-ai-driven-conglomerate-11713957779560.html.
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23 ‘GE Using AI/ML to Reduce Wind Turbine Logistics and Installation Costs’, GE Vernova, 4 April 2022, https://www.gevernova.com/news/press-releases/ge-using-aiml-to-reduce-wind-turbine-logistics-and-installation-costs.
24 ‘Tata Steel’s Jamshedpur Plant Recognised as World Economic Forum’s Advanced 4th Industrial Revolution Lighthouse’, Tata Steel, 15 March 2021, https://www.tatasteel.com/media/newsroom/press-releases/india/2021/tata-steel-s-jamshedpur-plant-recognised-as-world-economic-forum-s-advanced-4th-industrial-revolution-4ir-lighthouse/.
25 ‘How a Steel Plant in India Tapped the Value of Data—and Won Global Acclaim’, McKinsey Insights, 8 March 2021.
26 ‘Tata Steel’s Jamshedpur Plant Recognised as World Economic Forum’s Advanced 4th Industrial Revolution Lighthouse’, Tata Steel.
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练习题
Which option best characterizes the Fourth Industrial Revolution in the context of manufacturing and work?
What is the main purpose of predictive maintenance systems such as Siemens Senseye in industrial settings?
Which case most clearly illustrates a company being disrupted because it failed to respond effectively to a technological shift it helped create?
Which of the following examples reflect the use of AI or advanced analytics to improve manufacturing or industrial operations?
The Third Industrial Revolution is generally associated with digital and information technologies rather than steam power.
The World Wide Web and telecommunications foundations are unrelated to later AI-enabled manufacturing because factories do not depend on connectivity.
Nokia, BlackBerry, and Motorola are often discussed as examples showing that market leadership can weaken when firms fail to adapt quickly to changing technological and competitive conditions.
In industrial operations, using data to forecast equipment problems before failure is called ___ maintenance.
Explain in - sentences why companies such as Siemens and L&T are discussed in connection with AI-driven industrial transformation.
How does AI use in manufacturing connect with earlier AI use in customer-facing sectors such as Walmart's generative AI search? Answer in - sentences.
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