AI and data-driven decision making are reshaping the way companies do business. These powerful and disruptive tools allow organizations to develop new business strategies to accelerate workflow, scale faster and create new opportunities.
Data is the lifeblood of AI. It has to be protected and managed. Companies must learn to analyze data to tease out the hidden truths that lead to insight and change. AI is the engine that drives innovation. It allows companies to identify opportunity and optimize for success.
Through a review of current best practices, Data Strategy: Leverage AI for Business participants will learn how to secure data access and outline a successful AI strategy, as well as identify the resources and AI tools necessary to execute their plan.
Prof. Alex Pentland, Faculty Director,
MIT Institute for Data,
Systems & Society
You will benefit from the Data Strategy: Leverage AI for Business course if you are:
Actionable understanding of how to harness the power of data and AI to drive innovation.
Knowledge of the steps necessary to properly secure data and identify the optimum AI tools for success.
Future-facing skills that include the ability to outline and execute an AI strategy that creates new business opportunities.
Coveted industry knowledge from market-driven curriculum designed and delivered to the standard of an elite academic institution.
A powerful professional network from building connections with a global cohort of leaders, influencers and course participants.
Proof of knowledge through the prestigious Certificate of Completion issued by MIT School of Architecture + Planning.
Professor, Institute for Data Systems and Society+
Alex “Sandy” Pentland is founding faculty director of the MIT Connection Science Research Initiative, which uses network science to access and change real-world human behavior, and is the Toshiba Professor of Media Arts and Sciences at the Massachusetts Institute of Technology (MIT). He also holds a triple appointment at MIT in Media Arts and Sciences, Engineering Systems Division and with the Sloan School of Business.
Sandy has helped create and direct MIT’s Media Lab, the Media Lab Asia, and the Center for Future Health. He chairs the World Economic Forum's Data Driven Development Council, is Academic Director of the Data-Pop Alliance, and is a member of the Advisory Boards for Google, Nissan, Telefonica, the United Nations Secretary General, Monument Capital, and the Minerva Schools.
In 2012 Forbes named Sandy one of the “seven most powerful data scientists in the world”, along with Google founders and the CTO of the United States, and in 2013 he won the McKinsey Award from Harvard Business Review. He is among the most-cited computational scientists in the world, and a pioneer in computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His research has been featured in Nature, Science, and Harvard Business Review, as well as being the focus of TV features on BBC World, Discover and Science channels. His most recent book is Social Physics, published by Penguin Press.
Over the years Sandy has advised more than 50 PhD students. Almost half are now tenured faculty at leading institutions, with another one-quarter leading industry research groups and a final quarter are founders of their own companies. Sandy's research group and entrepreneurship program have spun off more than 30 companies to date, three of which are publicly listed and several that serve millions of poor in Africa and South Asia. Recent spin-offs have been featured in publications such as The Economist and The New York Times, as well as winning a variety of prizes from international development organizations.
Additional guest expertsMore than 30 experts from around the world, including Massachusetts Institute of Technology faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in data strategy.
More than 30 experts from around the world, including Massachusetts Institute of Technology faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in data strategy.
Ben Moskowitz./Ginny Fahs-Associate Director Product R&D for Consumer Reports Digital Lab./Hossein Rahnama-Founder/CEO of Flybits, Associate Professor at Ryerson University, and Visiting Professor at MIT Media Lab./Andrew Lo. /Nelson Repenning. /Tanzeem Choudhury. /Tony Jebara-Chief Scientist (Netflix/Spotify)./Wilson D'Souza-CTO, Akoya./Yves-Alexandre de Montjoye-Associate Professor at Imperial College London./Roberto Rigobon. /Stuart Rubinstein-CEO, Akoya./Ken Gabriel-Chief Operating Officer, Wellcome Leap./Beth Porter-COO, Cofounder and President, Esme Learning./Roberto Fernandez-Co-Director, Economic Sociology Ph.D Program, William F. Pounds Professor of Management, MIT Sloan School of Management./Alex Lipton-Co-Founder and Chief Information Officer of Sila./Anmol Madan-Chief Data Scientist, Teladoc Health./Jinhua Zhao-Associate Professor of Transportation and City Planning and Director, MIT Mobility Initiative./Rosalind Picard-Professor, MIT Media Laboratory; Director of Affective Computing Research; Chairman, Cofounder, and Chief Scientist of Empatica, Inc; Faculty Chair, MIT MindHandHeart./Barak Berkowitz-Founder, MarketCentrix, and Connection Science Fellow at MIT./Bradley Horowitz-VP Product at Google./Yaniv Altshuler-CEO and Co-Founder of Endor./Ben Waber-President and Co-Founder at Humanyze.
We teach executives as they work - in cross functional teams. Learners participate in interactive simulations and team projects which reinforce applied learning and enhance collaboration and complex problem solving skills. If you are looking for an individually-paced course, this course is not for you.