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.
In a stellar demonstration of research excellence, Prof. Leonard L recently represented ISBR on the global stage, presenting groundbreaking insights into the future of digital finance.
Shined at ICDAM-2026: A Global Academic Stage
Prof. Leonard L presented his latest research paper at the prestigious 7th International Conference on Data Analytics & Management (ICDAM-2026), held from June 12 to 14, 2026. Hosted by London Metropolitan University (London, UK) in collaboration with esteemed European institutions—including WSG University (Poland), Portalegre Polytechnic University (Portugal), and SGGW Management Institute (Poland)—the conference focused heavily on the theme of “Data Analytics with Computer Networks”.
The competitive nature of this global academic platform underscores the caliber of research emerging from ISBR:
- The conference attracted over 2,000 research paper submissions from scholars worldwide.
- Following a rigorous peer-review process, only around 20% of papers were accepted for publication.
- Selected papers, including Prof. Leonard’s work, will be published in the highly acclaimed Springer Proceedings.
The Core Research: Machine Learning Meets Financial Inclusion
Prof. Leonard’s paper, titled “Modelling Global Mobile Payment Adoption Using Random Forest and Open Development Indicators,” tackles one of the most critical challenges in fintech today: understanding what drives the world to adopt digital wallets.
By leveraging the Random Forest machine learning algorithm and cross-referencing it with Open Development Indicators, the study creates a highly sophisticated predictive framework. Rather than looking at financial metrics in a vacuum, the research explores how macro-level development indicators—such as technological infrastructure, economic growth, and regional demographics—impact how rapidly populations transition away from traditional cash economies.
Key Research Contributions:
- Fintech & Machine Learning Integration: Demonstrates how advanced algorithms like Random Forest can optimize data-driven decision-making in financial sectors.
- Macro-Level Insights: Maps out global trends in mobile payment adoption to assist policymakers and fintech enterprises.
- Data-Driven Strategies: Provides a robust framework for financial institutions looking to scale digital payment systems in emerging markets.
Shaping the Future of Data-Driven Business
This milestone highlights ISBR Business School’s deep commitment to fostering international academic engagement and driving forward-thinking knowledge creation. 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.
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!
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