Global Entrepreneurship Summit 2027

AI & Predictive Analytics Researcher | IT Consultant | Doctoral Researcher

Sakera Begum is an artificial intelligence and predictive analytics researcher based in the United States, specializing in machine learning, intelligent decision-support systems, financial technology, and cybersecurity. She is currently pursuing a Doctor of Computer Science at the University of the Potomac, USA, and holds a Master of Science in Information Technology and a Bachelor of Business Administration in Finance and Accounting.

Her research combines artificial intelligence with practical business and economic challenges, particularly the development of predictive models and intelligent frameworks to improve capital accessibility, financial resilience, and strategic decision-making. She has authored numerous scholarly publications and a research book, developed AI-powered analytical platforms, and presented her work at international academic conferences.

Her research contributions have been recognized through prestigious academic distinctions, including the Best Paper Award at INDEA 2026, the Best Researcher Award in Artificial Intelligence, Data Analytics and Business Intelligence, and the Enterprise Solutions Innovation Award.

Beyond her research activities, she contributes to the international academic community as a peer reviewer for Springer Nature, Elsevier journals, and international conferences, including SEMIT. She has also served as a conference speaker, panel chair, and scientific committee member. She is a member of IEEE, ACM, and the Analytics Society of INFORMS.

Her ongoing research focuses on advancing responsible, explainable, and practical AI solutions that address real-world challenges in business, finance, and emerging technologies.