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The FinTech Revolution [electronic resource] : Bridging Geospatial Data Science, AI, and Sustainability / by Sucharita Gopal, Josh Pitts.

By: Contributor(s): Material type: TextSeries: Sustainable FinancePublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XXIII, 398 p. 110 illus., 106 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031744181
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • HG176.7
Online resources:
Contents:
Chapter 1. Background and Foundations—Sustainability, Fintech, Data Science, & AI -- Chapter 2. ESG Integration: Unveiling Risk and Driving Innovation in Sustainable Finance -- Chapter 3. It’s Changing. The Dynamics of the Modern World: Climate Change and Planetary Boundaries -- Chapter 4. A Deep Dive into Climate Risks and Materiality -- Chapter 5. Regulation & Frameworks – Current and Future Reporting Trend -- Chapter 6. Geospatial Finance – Foundations and Applications -- Chapter 7. Satellite Remote Sensing: Pioneering Tools for Environmental Insight and Sustainable Investment -- Chapter 8. The Intersection of Carbon Pricing, Fintech, and Blockchain Technology -- Chapter 9. GenAI: Unlocking Sustainability Insights and Driving Change in Fintech -- Chapter 10. Geospatial Finance – Foundations and Applications.
In: Springer Nature eBookSummary: In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability. This book invites readers to the forefront of a revolutionary convergence, where economic growth and environmental stewardship align. Whether the reader is a decision-maker, innovator, entrepreneur, or investor within the Fintech industry, this is a guide to a future where finance and technology serve our planet. Authored by experts in GIS, AI, and remote sensing, who are also seasoned entrepreneurs, this unique work offers both theory and practical guidance, discovers sources often overlooked in ESG analytics, dives into specific, not general, KPIs for industry professionals, and navigates global regulations and frameworks with ease. Real-world case studies unveil the value of applied methods, supported by insights from leading practitioners, explore the latest developments in AI and machine learning, and uncover a step-by-step data science analysis framework.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Chapter 1. Background and Foundations—Sustainability, Fintech, Data Science, & AI -- Chapter 2. ESG Integration: Unveiling Risk and Driving Innovation in Sustainable Finance -- Chapter 3. It’s Changing. The Dynamics of the Modern World: Climate Change and Planetary Boundaries -- Chapter 4. A Deep Dive into Climate Risks and Materiality -- Chapter 5. Regulation & Frameworks – Current and Future Reporting Trend -- Chapter 6. Geospatial Finance – Foundations and Applications -- Chapter 7. Satellite Remote Sensing: Pioneering Tools for Environmental Insight and Sustainable Investment -- Chapter 8. The Intersection of Carbon Pricing, Fintech, and Blockchain Technology -- Chapter 9. GenAI: Unlocking Sustainability Insights and Driving Change in Fintech -- Chapter 10. Geospatial Finance – Foundations and Applications.

In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability. This book invites readers to the forefront of a revolutionary convergence, where economic growth and environmental stewardship align. Whether the reader is a decision-maker, innovator, entrepreneur, or investor within the Fintech industry, this is a guide to a future where finance and technology serve our planet. Authored by experts in GIS, AI, and remote sensing, who are also seasoned entrepreneurs, this unique work offers both theory and practical guidance, discovers sources often overlooked in ESG analytics, dives into specific, not general, KPIs for industry professionals, and navigates global regulations and frameworks with ease. Real-world case studies unveil the value of applied methods, supported by insights from leading practitioners, explore the latest developments in AI and machine learning, and uncover a step-by-step data science analysis framework.

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