Data Strategy: Leverage AI for Business

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


COURSE STARTS
4 May 2022
Registration closes 10 May

PREMIERE PRICING
$3,200 $2,350
Payment options

Why Study Data Strategy?

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.


“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.

A look into how internal data is managed, tracked and integrated into the business processes. Learners will develop a heightened awareness of how data is a critical part of the business that needs to be protected.

At the end of the module, learners will be able to:

  • Recall key data concepts
  • Recognize the importance of data ownership
  • Differentiate between the data owner and steward
  • Identify the right data owners
  • Explain the main components of data governance

Explore the building blocks for developing a successful AI and data strategy in an organization. This module lays the foundation for the course by reviewing core strategic frameworks and overall guiding steps for developing a good strategy.

At the end of the module, learners will be able to:

  • Define key AI and data concepts
  • Describe how AI enables new enterprise activities that can transform how companies operate
  • Identify areas of opportunities for data and AI in their business
  • List the core steps to deploy an AI and data solution.

How are data and data analytics used to make predictions that inform the decision-making process? We’ll examine case studies that highlight the different types of predictions and discuss the kinds of decision making they inform.

At the end of the module, learners will be able to:

  • Understand how data analytics is used to support decision making
  • Apply prediction data to make better decisions

How can organizations deepen their AI practices to create more refined strategies for tackling unknowns? Learners will discover how companies must evolve their data strategies or risk being outdated.

At the end of the module, learners will be able to:

  • Evaluate the quality of their organization’s data
  • Develop a data management strategy that is appropriate for their organization
  • Identify outdated data practices and gain insights into new data practices

Understanding the importance of AI transparency and accountability to avoid missteps and build trust with customers and other stakeholders.

At the end of the module, learners will be able to:

  • 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

A snapshot of the landscape of data and AI policies, regulations and governance activities in the US and abroad.

At the end of the module, learners will be able to:

  • 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


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.

Your Faculty Director

Prof. Alex "Sandy" Pentland
Faculty Director

Professor, Institute for Data Systems and Society 

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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.

Additional guest experts

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.

Want to Know More?


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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 call with a learning advisor.

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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.

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