Summary
In an era of dynamic technological advancements, the convergence of blockchain and artificial intelligence is unlocking new possibilities for creating a decentralized and more equitable future. This keynote explores the potential of decentralized federated learning - an approach allowing AI systems to be trained across distributed networks without sharing sensitive data, preserving privacy while enhancing global collaboration. By utilizing secure and trusted data infrastructures for a decentralized and democratic data exchange, federated learning is able to address challenges such as data centralization, bias, and unequal access to AI-powered solutions. This convergence has implications for industries, enterprises, and global development in general, offering a path towards more inclusive AI innovations. Join us at B2C conference and be part of our discussions around how decentralized technologies can bridge the digital divide, empowering communities worldwide and paving the way for a fairer, more resilient future.
Short Bio
Dr. Gürpinar is an Assistant Professor of Business Analytics & Information Systems at Quinnipiac University's School of Business, specializing in the impact of blockchain and distributed ledger technologies on organizations and society. He also mentors students as a Faculty Fellow in Residence and Advisor to the Living Learning Experience Leadership Council at QU. Dr. Gürpinar collaborates with the Fraunhofer Institute for Material Flow and Logistics in Germany, translating blockchain research into practice for decentralized data ecosystems across industries. He serves on the Editorial Board of the Blockchain & Cryptocurrency Journal and as Member of the Academic Advisory Body of the International Association of Trusted Blockchain Applications. Previously, Dr. Gürpinar led the 360 Initiative at Blockchain Europe and co-founded a research group at Dortmund University of Technology, where he focused on blockchain governance and integrating decentralized solutions into enterprise networks.
