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MIT SA+P and MIT Media Lab

Data Strategy: Leverage AI for Business

Harness the power of AI and change how you do business.

Secure your spot before orientation begins.

October 19, 2022
Registration closes October 26


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Why Study Data Strategy?

Today’s businesses don’t just collect data – they are data. By capturing every interaction, businesses know who they are and what they do. Yet despite this wealth of information, many businesses fail to use it to their advantage. Data points should be assets, not opportunities lost.

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

Is This Course Right For You?

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

  • A learner who has completed our AI Leadership course and is interested in solidifying their role as an innovator to pursue the next step in their career
  • Entrepreneurs, interested in breaking new ground with their business ventures and solving high-value problems in the areas of AI and data
  • A venture capitalist contemplating investment in a data-driven company or a company that would benefit from data insights
  • Technology managers, consultants and the intellectually curious who are in the midst of, or aspiring towards, a career transition or looking for future-fit skills

Course Content

An overview of the course, the next-generation AI platform used to deliver it and the community of fellow innovators and leaders.

Understand the foundations of data and its critical relationship to business processes:

  • Learn the core components of data governance.
  • Differentiate between data owners and stewards.
  • Track the evolution of Big Data and artificial intelligence.

Explore the critical link between data strategy and AI strategy:

  • Define the critical components of AI strategy.
  • Assess leadership qualities and roles.
  • Identify gaps and improvement areas.
  • Analyze the implementation of AI-powered projects.

Examine the developmental steps in designing a successful data strategy:

  • Identify core components of data quality.
  • Understand how data analytics support decision-making.
  • Learn the value and limitations of prediction data and judgements.
  • Assess the processes for restructuring an organization around technology.

Consider the costs of Big Data and AI deployment:

  • Identify cost implications related to building with AI.
  • Analyze the return on investment for AI initiatives.
  • Determine when a data practice becomes outdated.
  • Investigate strategies for Big Data analytics.

Consider the importance of AI transparency to avoid missteps and build trust:

  • Understand the ethics of AI and its impact on businesses.
  • Explain best practices for the responsible use of AI.
  • Identify and manage the risks associated with AI.

Navigate data and AI policies, regulations and governance activities in the US and abroad:

  • Differentiate among privacy, security, compliance and auditing.
  • Explain federated AI and its application across various industries.
  • Identify privacy and security vulnerabilities in data collection.
  • Describe data protection laws in their region, the EU and Asia.

What You Will Gain

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.

Your Faculty Director

Prof. Alex "Sandy" Pentland
Faculty Director

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 experts

Marta Tellado - President and CEO at Consumer Reports. / 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, Welcome 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.

Want to Know More?

Using live interactive tools and AI, Esme Learning is transforming the experience of group collaboration through its proprietary, breakthrough technology platform.

The most effective learning experiences occur in small groups who are engaged in problem solving, creative tasks, or complex decision making. In an online work environment, when people lack conversational cues, it’s hard for teams to build rapport and be successful.

Esme Learning’s platform changes the way team members interact in real-time, while video calls are happening. It uses AI to analyze online conversation dynamics and provide real-time personalized feedback to each participant to ensure that the exchange of ideas is not dominated by a single person, and that the conversation is as inclusive as possible. Simple on-screen cues guide participants to more effective team interactions.

You may pay your course fees in one upfront payment via credit or bank card, or you may opt to split payment in two or three installments. A 5% administrative fee will be added to any split payments. Financing options are also available for select courses and programs. Discounts are not included in financing options. For more information, schedule a callwith a learning advisor.

Future Finance Student Loans
UK, EU and international learners who are UK residents may be eligible for private student loans. Learn more

Recognizing that working executives require fast and efficient methods of upgrading their skills, Esme Learning has blended art and science to produce an online learning platform that drives results.

We leverage cognitive and neuroscience research, personalized and individualized success coaching, and next-generation artificial intelligence technologies to enhance the learning experience--resulting in a course completion rate that is 30x higher than our competitors.

Helping employees upgrade their skills benefits employers and employees alike. Many organizations offer tuition reimbursement programs as it is easier to retain top talent, and investing in up-skilling can be more cost-effective than hiring new staff. For employees, taking advantage of your employer-sponsored tuition programs is the perfect way to build skills while also building value for your company. For a sample letter to send to your employer requesting tuition reimbursement, please reach out to one of our course advisors.

As part of our commitment to your professional development, Esme Learning offers you up to a two-week period to change your course start date or request your money back if you’re not fully satisfied.

To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Team before the end of Module 1. For more information, please read our Terms and Conditions.

The Esme Learning Way

Collaborative AI-enhanced learning

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.

improvement on completion rates compared to other online courses