The FinTech Revolution: Bridging Geospatial Data Science, AI, and Sustainability (Sustainable Finance) - Tapa blanda

Acerca del autor

Sucharita Gopal, Ph.D. is a professor in the Department of Earth & Environment at Boston University and a research affiliate at five centers at Boston University. She holds a visiting professor appointment at the Vienna University of Economics and Business in Austria. Her multi-disciplinary research primarily delves into the intricate world of geospatial data analysis and modeling, GIS, data mining, information visualization, and artificial neural networks. Her work often combines data science and statistical analysis with practical applications in urban planning, systems modeling, public health, and sustainable finance, resulting in holistic solutions to some of society’s most challenging problems. She is a co-founder of Floodlight Invest, a fintech solution provider.

Josh Pitts, MS,  is a technologist, who has founded several businesses and consulted for governmental agencies and technology companies. He is a co-founder and the chief technology officer of Floodlight Invest, a global fintech analytics solution provider that serves customers with ESG and sustainability data analytics and guidance. He has provided AI-based consulting and solutions to businesses in healthcare, technology, and media.

De la contraportada

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.