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Artificial intelligence and Industry 4.0

Om Artificial intelligence and Industry 4.0

The future of artificial intelligence is a very interesting and complex topic, which generates many expectations, opportunities and challenges. AI applied to different sectors and problems, such as health, industry, education, security, environment or scientific research. AI can help improve the quality of life, efficiency, innovation and knowledge in these areas. AI and the future of work, education and leisure, raises questions about the role of humans, the skills that will be required, the opportunities and threats that will arise, and how to adapt and harness the potential of AI. AI is being applied in industry to: Automate routine and repetitive tasks, which can improve efficiency, reduce errors and free employees to focus on more important tasks. Improve the quality of products and services by analyzing large amounts of data and detecting patterns and problems that might go unnoticed by humans. Customize offerings and adapt to individual customer needs by using customer data to create tailored solutions.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9786207014569
  • Bindende:
  • Paperback
  • Sider:
  • 248
  • Utgitt:
  • 3. januar 2024
  • Dimensjoner:
  • 150x16x220 mm.
  • Vekt:
  • 387 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 16. mai 2025

Beskrivelse av Artificial intelligence and Industry 4.0

The future of artificial intelligence is a very interesting and complex topic, which generates many expectations, opportunities and challenges. AI applied to different sectors and problems, such as health, industry, education, security, environment or scientific research. AI can help improve the quality of life, efficiency, innovation and knowledge in these areas. AI and the future of work, education and leisure, raises questions about the role of humans, the skills that will be required, the opportunities and threats that will arise, and how to adapt and harness the potential of AI. AI is being applied in industry to: Automate routine and repetitive tasks, which can improve efficiency, reduce errors and free employees to focus on more important tasks. Improve the quality of products and services by analyzing large amounts of data and detecting patterns and problems that might go unnoticed by humans. Customize offerings and adapt to individual customer needs by using customer data to create tailored solutions.

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