AI Powered Control Systems in Fintech Automating Decision-Making in Digital Finance.pdf
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AI Powered Control Systems in Fintech
Automating Decision-Making in Digital Finance
The digital era has brought unprecedented change to financial systems, business
practices, education, and social life. At the heart of this transformation lies artificial
intelligence (AI), which is no longer a supporting tool but a driving force in shaping
how decisions are made, risks are managed, and opportunities are created. This rec
explores how AI-driven control systems are revolutionizing financial technologies,
while also extending their impact across related fields such as education, healthcare,
sustainability, and digital commerce.
The chapters presented here address a wide spectrum of themes. Several contributions focus on fintech innovations, examining AI-powered decision-making in
algorithmic trading, fraud detection, credit scoring, and digital payments, as well
as the role of blockchain smart contracts, e-commerce strategies, cybersecurity
risk management, and digital taxation in strengthening financial ecosystems. These
studies provide insights into how financial institutions, businesses, and regulators
can leverage AI to improve efficiency, accuracy, and compliance.
Beyond the financial sector, the rec reflects the broad reach of AI and digital
technologies in shaping today’s interconnected world. Topics include AI in healthcare applications such as pneumonia detection, VR and AI in education, remote
work and HR strategies, entrepreneurship and innovation in Industry 5.0, renewable energy and environmental sustainability, and digital platforms that empower
women entrepreneurs and small businesses. Together, these perspectives highlight
the power of AI not only to automate decision-making but also to influence societal
transformation.
A unifying thread across these chapters is the integration of theory and practice.
From reinforcement learning in trading to AI-based risk assessment in construction, from blockchain-enabled certification systems to cognitive puzzle frameworks
for dementia patients, the contributions reveal how advanced methodologies can be
applied to solve real-world problems. Equally important, the studies address human
and organizational dimensions such as mental health in remote work, generational
trauma, consumer trust, and digital literacy, showing that technological innovation
must remain grounded in human values.This rec is designed as a resource for researchers, practitioners, financial
analysts, policymakers, and innovators who seek to understand the interplay between
AI, control systems, and digital finance, while also appreciating the broader societal
contexts in which these technologies evolve. By bridging disciplines and perspectives, the rec offers both conceptual depth and practical guidance for navigating
the complexities of the digital age.
We hope that this collection inspires future research and collaboration, equipping
readers with the tools and insights to harness AI-powered control systems for building
a more efficient, inclusive, and resilient financial and social future
This rec is designed as a resource for researchers, practitioners, financial
analysts, policymakers, and innovators who seek to understand the interplay between
AI, control systems, and digital finance, while also appreciating the broader societal
contexts in which these technologies evolve. By bridging disciplines and perspectives, the rec offers both conceptual depth and practical guidance for navigating
the complexities of the digital age.
We hope that this collection inspires future research and collaboration, equipping
readers with the tools and insights to harness AI-powered control systems for building
a more efficient, inclusive, and resilient financial and social future
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