September 21, 2022
Registration closes September 27
In this course at MIT SA+P, the leader in how technology impacts people and society, data-minded professionals hone the strategic thinking needed to leverage a valuable asset for business success. Whether operationalizing analytics initiatives or utilizing machine learning capabilities, the course provides the foundational tools for implementing AI initiatives with impact.
The course is led by Alex “Sandy” Pentland, one of the seven most powerful data scientists in the world (Forbes). In it, Prof. Pentland and his hand-picked team of guest speakers show you how to link advanced analytics to AI. You’ll design a road map for integrating AI into an organization and identify the resources necessary to execute your plan – and lead the future of business.
“How do data and digital interact with real life? In the next couple decades we’re going to see virtually everything augmented and processes reinvented to take advantage of new capabilities.”
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:
A senior leader who wants to gain insight into making data-driven decisions to accelerate business performance
Earn a certificate of completionissued by MIT School of Architecture + Planning demonstrating proof of knowledge.
Have access to a powerful professional network of proven global leaders, thinkers, strategists and influencers, plus a community of driven programme participants.
Possess dynamic new skillssupported by an AI-driven learning platform, individual- and team-based programming, and individual success coaching.
Know coveted industry details from a market-driven curriculum designed and delivered to elite academic standards.
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.
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.