The global financial technology landscape is evolving at a breakneck pace, driven heavily by data analytics and predictive modeling. At ISBR Business School, our faculty continues to drive impactful discussions at the intersection of technology and global business.<\/p>\n\n\n\n
In a stellar demonstration of research excellence, Prof. Leonard L<\/strong> recently represented ISBR on the global stage, presenting groundbreaking insights into the future of digital finance<\/sup>.<\/p>\n\n\n\n Prof. Leonard L presented his latest research paper at the prestigious 7th International Conference on Data Analytics & Management (ICDAM-2026)<\/strong>, held from June 12 to 14, 2026<\/sup>. Hosted by London Metropolitan University<\/strong> (London, UK) in collaboration with esteemed European institutions\u2014including WSG University (Poland), Portalegre Polytechnic University (Portugal), and SGGW Management Institute (Poland)\u2014the conference focused heavily on the theme of “Data Analytics with Computer Networks”<\/em><\/sup>.<\/p>\n\n\n\n The competitive nature of this global academic platform underscores the caliber of research emerging from ISBR:<\/p>\n\n\n\n Prof. Leonard\u2019s paper, titled \u201cModelling Global Mobile Payment Adoption Using Random Forest and Open Development Indicators,\u201d<\/strong> tackles one of the most critical challenges in fintech today: understanding what drives the world to adopt digital wallets<\/sup>.<\/p>\n\n\n\n By leveraging the Random Forest machine learning algorithm<\/strong> and cross-referencing it with Open Development Indicators<\/strong>, the study creates a highly sophisticated predictive framework<\/sup>. Rather than looking at financial metrics in a vacuum, the research explores how macro-level development indicators\u2014such as technological infrastructure, economic growth, and regional demographics\u2014impact how rapidly populations transition away from traditional cash economies<\/sup>.<\/p>\n\n\n\n Key Research Contributions:<\/strong><\/p>\n\n\n\n This milestone highlights ISBR Business School\u2019s deep commitment to fostering international academic engagement and driving forward-thinking knowledge creation<\/sup>. By translating complex predictive data into practical business strategies, research like Prof. Leonard’s ensures that our academic community stays at the absolute forefront of global analytics and management<\/sup>.<\/p>\n\n\n\n We congratulate Prof. Leonard L on receiving official certification and recognition at ICDAM-2026, and we look forward to seeing how these data-driven insights continue to shape the global fintech narrative<\/sup>!<\/p>\n\n\n\n Want to stay updated with the latest research breakthroughs at ISBR? Subscribe to our Research Blog for more expert insights on AI, Fintech, and Management.<\/em><\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" The global financial technology landscape is evolving at a breakneck pace, driven heavily by data analytics and predictive modeling. At<\/p>\n","protected":false},"author":4,"featured_media":13543,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4145],"tags":[4149,2499,4153,4152,2028,4148,3184,689,4146,4151,4147,4150],"class_list":["post-13542","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","tag-business-school-research","tag-data-analytics","tag-data-driven-decision-making","tag-financial-technology","tag-fintech","tag-icdam-2026","tag-isbr-research","tag-machine-learning","tag-mobile-payment-adoption","tag-open-development-indicators","tag-random-forest-model","tag-springer-proceedings"],"yoast_head":"\nShined at ICDAM-2026: A Global Academic Stage<\/h2>\n\n\n\n
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The Core Research: Machine Learning Meets Financial Inclusion<\/h2>\n\n\n\n
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Shaping the Future of Data-Driven Business<\/h2>\n\n\n\n