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MIT School of Architecture and Planning

Data Strategy: Leverage AI for Business

COURSE STARTS
20 Oct 2021
Registration closes 27 Oct 2021

PRICE
$3,200
Payment options available

Accelerate your career with the Data Strategy:
Leverage AI for Business Course

  • Career-accelerating skills
  • Collaborative online learning
  • Certified by MIT

Length:

6 weeks

Language:

English

Effort:

7-10 hours per week, self-paced online learning

MIT School of Architecture and Planning

Data Strategy: Leverage AI for Business

COURSE STARTS

20 Oct 2021

Registration closes 27 Oct 2021

 

PRICE

$3,200

Payment options available

Accelerate your career with the Data Strategy:Leverage AI for Business Course

  • Career-accelerating skills
  • Collaborative online learning
  • Certified by MIT


Length: 6 weeks

Language: English

Effort: 7-10 hours per week, self-paced online learning

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


Module 0: Orientation

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

Module 1: Data Ownership

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

Module 2: Opportunities for AI and Data in Business

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.

Module 3: Data-Driven Decision-Making

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

Module 4: Insights and Application

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

Module 5: Understanding the Risks

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

Module 6: Data Privacy and Security

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


Our international faculty is comprised of thought leaders from MIT School of Architecture + Planning, industry experts and successful entrepreneurs to facilitate rapid application of theory to practice.

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.

Your programme instructors


Additional instructors will be added up to the programme commencement date.

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.

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What's In the Class


  • Digital videos or audio content, augmented by material created exclusively for the course
  • Quizzes and exercises designed specifically to help you understand and retain new information
  • Dialogue with expert instructors and your peers via discussion forums and small group sessions
  • Simulations and other carefully crafted interactions to provide an engaging learning experience
  • Real-life examples that place information in context to help you understand how the concepts delivered in the course material can be applied to your work environment
  • AI coaching to improve your and your team’s collaboration

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