
You've heard about it, but do you understand? Everything you need to know about machine learning
The authors explain what machine learning is, its implications and its applications.
Dr. Mark Esposito serves as Faculty Affiliate at the Harvard's Center for International Development at Harvard Kennedy School. He holds professorships of economics and public policy with appointments at Hult Int’l Business School as well as Harvard University. He is equally an Adjunct Professor of Economics and Policy at Georgetown University’s McDonough School of Business. Besides, he
At Harvard, he serves as social scientist with affiliations Harvard University’s Institute for Quantitative Social Science (IQSS) and the Davis Center for Eurasian Studies. He is an incoming faculty affiliate of the Berkman Klein Center for Internet and Society at Harvard.
He has been affiliate faculty of the Microeconomics of Competitiveness at Harvard Business School, under the mentorship of Prof. Michael E. Porter for over a decade and he served as Founding Fellow of the Circular Economy Research Center at the Judge Business School, at the University of Cambridge, where he retains a Senior Associate role.
He advises governments in the GCC and Eurasia regions and is a global expert of the World Economic Forum and has been working as a Resident Fellow as well as Professor of public policy at Mohammed Bin Rashid School of Government. He is currently the Chair of the Governance Group and Senior Fellow at the DC thinktank, The Digital Economist.
He co-founded the Machine Learning research firm, Nexus FrontierTech and the EdTech venture, The Circular Economy Alliance. He has equally co-founded The Chart ThinkTank and The AI Native Foundation.
Dr. Mark Esposito has trained, consulted and advised hundreds of public and private sector entities. A frequent keynote speaker in events from TED, World Economic Forum and the Global Drucker Forum he works on thought leadership with consultants such as McKinsey, Accenture, PwC, Deloitte, AlphaInsights and Cap Gemini. On strategy with corporates such as SAP, Toyota, Salesforce, Majid Al Futtaim, Haier, Huawei, Philips, Saudi Telecom, Ooredoo Telecom Italia, Enel, Santander, Airbus, Barilla, Lavazza, Chanel, MerckSerono, Philip Morris. He has worked and advised the United Nations, The National Bank of Malaysia, The European Development Bank, the European Parliament, the UAE Prime Minister Office, The Dubai Future Foundation, The Omani Ministry of Planning, ADAL in Saudi Arabia, Qatar Foundation, the Kuwait Foundation for the Advancement of Science, the Tony Blair Institute, NATO, The European Commission and the Economic Advisory Council of India’s Prime Minister Office.
Dr. Esposito has written or co-written over 150 publications, both peer-reviewed and non-peer-reviewed, and 13 books, two of which are Amazon bestsellers: "Understanding how the Future Unfolds" (2017) and "The AI Republic" (2019). His most recent books include "The Emerging Economies under the Dome of the Fourth Industrial Revolution" (Cambridge University Press, 2022), "The Great Remobilization: Strategies and Designs for a Global Smarter World" (MIT University Press, 2023), and "Digitizing the Emerging Economies" (Cambridge University Press, 2024). His forthcoming books are "Tectonic Shifts: How Technology is Remaking Global Power Dynamics" (Penguin Random House, 2025) and "Becoming AI Native: A Playbook for Businesses" (Routledge, end of 2025). He is a regular contributor to Project Syndicate, World Economic Forum Blog, California Management Review, and Harvard Business Review.
He has a doctorate from Ecole des Ponts Paris Tech and he lives across Boston, Geneva and Dubai.
The authors explain what machine learning is, its implications and its applications.
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