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As the spectrum of the internet of things (IoT) expands, artificial
intelligence (AI)-assisted agile IoT is the way forward for
sustainable finance. The depth of agile IoT has changed the
financial market, and it may quickly evolve as a powerful tool in
the future. The convergence of AI and IoT techniques will
significantly extract valuable financial information and offer
better services to customers. Some of the potential benefits of
AI-assisted agile IoT for FinTech include prompt customer support,
in-door client navigation, on-site queue management, improved
customer experience, security and authenticity, wireless payments,
increased business efficiency, self-checkout services, and business
automation. There is no doubt that leveraging the complete
potential of AI-assisted agile IoT will result in the creation of a
new and innovative financial system. AI-Enabled Agile Internet of
Things for Sustainable FinTech Ecosystems presents the advances in
AI-assisted agile IoT for financial technologies (FinTech). It
further explains the new applications, current issues, challenges,
and future directions of the field of AI-assisted agile IoT for
FinTech applications and ecosystems. Covering topics such as
consensus algorithms, IoT-based banking, and secure authentication,
this premier reference source is an excellent resource for business
executives and managers, IT managers, librarians, students and
faculty of higher education, researchers, and academicians.
Current Developments in Biotechnology and Bioengineering:
Sustainable Food Waste Management: Resource Recovery and Treatment
covers the latest methods of food waste management and resource
recovery from a sustainability perspective and is suitable for
universities, municipalities, and companies working in the field.
This book provides a comprehensive account of food waste chemistry,
the latest techniques for food waste treatment and recycling,
sustainability assessment (social, economic, environmental), and
challenges in food waste management. The book explores recycling to
value-added products using sustainable concepts and methodologies,
and is useful as a course or reference book for biochemical
engineering, environmental sustainability, and waste management.
As the spectrum of the internet of things (IoT) expands, artificial
intelligence (AI)-assisted agile IoT is the way forward for
sustainable finance. The depth of agile IoT has changed the
financial market, and it may quickly evolve as a powerful tool in
the future. The convergence of AI and IoT techniques will
significantly extract valuable financial information and offer
better services to customers. Some of the potential benefits of
AI-assisted agile IoT for FinTech include prompt customer support,
in-door client navigation, on-site queue management, improved
customer experience, security and authenticity, wireless payments,
increased business efficiency, self-checkout services, and business
automation. There is no doubt that leveraging the complete
potential of AI-assisted agile IoT will result in the creation of a
new and innovative financial system. AI-Enabled Agile Internet of
Things for Sustainable FinTech Ecosystems presents the advances in
AI-assisted agile IoT for financial technologies (FinTech). It
further explains the new applications, current issues, challenges,
and future directions of the field of AI-assisted agile IoT for
FinTech applications and ecosystems. Covering topics such as
consensus algorithms, IoT-based banking, and secure authentication,
this premier reference source is an excellent resource for business
executives and managers, IT managers, librarians, students and
faculty of higher education, researchers, and academicians.
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