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  <titleInfo>
    <title>Al and machine learning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sengupta, Hindol and Tyagi, Bhavya</namePart>
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      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
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    <place>
      <placeTerm type="text">Yojana</placeTerm>
    </place>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>66(6), Jun, 2022: p.23-25</extent>
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  <abstract>Industry 4.0  is set to usher on era of technologies that will completely alter the  way in which we interact with the world around us. Artificial intelligence/machine learning, IoT, 5G. Augmented reality, big data, nanotechnology, robotics and 3D printing are transforming the operational, functional, and strategic landscape across various industries. In India, both private and public enterprises and the central and state government are investing in multiple al use cases from manufacturing to services. Most venture capital funding in India is now going to al projects in banking financial services, and insurance sector (BES), e-commerce healthcare, electronics and renewable energy startups. – Reproduced 

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      <namePart>Yojana </namePart>
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