Michael Olanipekun
Data Management Specialist
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Michael Olanipekun is a multifaceted professional with qualifications in economics, education, financial engineering, and data science. He holds degrees from Obafemi Awolowo University and the University of Sussex.
With a diverse background spanning finance, data science, and policy analysis, Michael has amassed valuable experience in building EdTech solutions, working in finance and civil service roles, and promoting technology adoption. He is a multiple award winner, recognized by the FutureAward, Africa Science Week, AI Saturday, and DSN for his contributions.
Michael's expertise lies in leveraging data and technology to drive informed decision-making across sectors. His academic training covered algorithmic data science, computational methods, policy analysis, artificial intelligence, and machine learning, among other relevant areas.
Beyond academics, Michael actively participated in student societies focused on discourse, African affairs, and computing. He has worked on impactful projects in the EdTech space, Finance, Non-profit, and Government . He is passionate about promoting technology adoption and digital literacy.
Currently, Michael is employed at The Nottingham Building Society, where he applies his multidisciplinary skills to drive data-driven solutions and foster innovation within the organization.
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The Nexus of Data Governance, Data Quality, and Ethical AI for Driving Innovation in Nigeria's Digit
The rapid digitalization of Nigeria's economy is being driven by transformative technologies like big data analytics, artificial intelligence (AI), and digital platforms. While these innovations hold tremendous potential to revolutionize sectors from healthcare to agriculture, unlocking their full value hinges on building a robust foundation in data governance, data quality, and ethical AI practices. This trifecta serves as a crucial nexus for enabling sustainable, responsible AI-driven growth. As data becomes increasingly paramount, the Nigerian economy must prioritize developing core capabilities around data governance and quality - the bedrock for sound decision-making and successful outcomes. Effective data governance entails implementing overarching policies, procedures, and standards to ensure data accuracy, integrity, and security. Data quality hinges on attaining high levels of data accuracy, completeness, and reliability. To properly uphold data governance and quality, organizations require foundational capabilities like clear data management roles, defined data standards, robust processes, and regulatory compliance mechanisms. Establishing this vital groundwork positions Nigeria among leading digital economies harnessing AI's full transformative power ethically and responsibly across industries
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