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Titlebook: Sustainable Development through Machine Learning, AI and IoT; Second International Pawan Whig,Nuno Silva,Pavika Sharma Conference proceedin

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https://doi.org/10.1007/978-3-031-71729-1Artificial Intelligence; Machine Learning; IoT; Sustainable Development; Research Application; Computer S
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978-3-031-71728-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Sustainable Development through Machine Learning, AI and IoT978-3-031-71729-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Sustainable Digital and Enterprise Transformation for Omni-Channel Experiences Empowered by Data andronmental responsibility. Through an interdisciplinary approach, the research not only highlights the potential of data-driven technologies but also examines their implications on sustainable development, contributing to a holistic understanding of the transformative power of digitalization within a responsible and ethical framework.
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Advancing Sustainable Development: Harnessing AI for Efficient and Eco-Friendly Customer Support in IoT solutions while fostering environmental sustainability. Through this exploration, we contribute to the discourse on responsible and eco-conscious technology adoption, paving the way for a more sustainable and resilient future.
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