Amos Oppong (Ph.D.), Co-Founder and CEO of DapsCnect, is a distinguished technology entrepreneur and researcher with over 16 years of experience processing billions of data points across several industries. Holding a BA in Economics and advanced [MSc. and Ph.D.] degrees in Management Science and Engineering, he specializes in applying big data, machine learning, and AI to develop and implement practical solutions for sustainable development applications. Amos has advised over 1,000 individuals in their international travel pursuits as well as over 20 small businesses and 4 state institutions on data-driven decision-making. These experiences have given him deeper insight about the critical need for reliable data for a myriad of economic and social benefits in the age of AI. The understanding drove him to co-found DapsCnect, focusing on providing AI-supported solutions to improve data accuracy up to 99.99% to create economic as well as social values for individuals, public and private institutions, and the state. His expertise is demonstrated through impactful publications in top-tier journals focusing on big data, machine learning, AI applications, energy, and climate change. Dr. Oppong's vision is to help solve the trillion-dollar bad data problem with proprietary AI for Africa and beyond. His relevant research and practical experiences, both past and ongoing, can be traced to projects at: Massachusetts Institute of Technology (MIT: United States of America); University of Electronic Science and Technology of China (UESTC: China); Kwame Nkrumah University of Science and Technology (KNUST: Ghana); Australia and New Zealand Bank (ANZ: China); International Association for Energy Economics (IAEE: Netherlands, Canada, United States of America); Ministry of Finance (MoF: Ghana); The Labour Department, Ministry of Employment and Labour Relations (MELR: Ghana); Institute of Public Relations (IPR: Ghana); International Public Relations Association (IPRA: United Kingdom) AI Chapter; etc. Amos has also reviewed scientific research manuscripts for top-tier journals including Artificial Intelligence Review (Springer Nature) and several world-leading journals managed by Elsevier and IOP Science.