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Sloan School of Management

Artificial Intelligence: Implications for Business Strategy

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A powerful collaboration: MIT Sloan and MIT CSAIL

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Apr 24—Jun 11
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USD 2800
May 15—Jul 2
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Jun 12—Jul 30
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Description

This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit.

With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.

This program is delivered in collaboration with GetSmarter.

Program Details

What is artificial intelligence (AI)? What does it mean for business? And how can your company take advantage of it? This online program, designed by the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), will help you answer these questions. Through an engaging mix of introductions to key technologies, business insights, case examples, and your own business-focused project, your learning journey will bring into sharp focus the reality of central AI technologies today and how they can be harnessed to support your business needs. Focusing on key AI technologies, such as machine learning, natural language processing, and robotics, the course will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise. MIT expert instructors examine how artificial intelligence will complement and strengthen our workforce rather than just eliminate jobs. Additionally, the program will emphasize how the collective intelligence of people and computers together can solve business problems that not long ago were considered impossible.

Takeaweys

This 6-week online program presents you with a foundational understanding of where we are today with AI and how we got here. The focus is on three key AI technologies: machine learning, natural language processing, and robotics. You’ll gain a practical introduction to these key AI technologies and their business implications, equipping you with the knowledge and the confidence you need to transform your organization by converting uncertainties regarding AI into impactful opportunities for business growth. The program does not assume any particular technological background – you’ll focus on the organizational and managerial implications of these technologies and how they can be applied in the workplace, rather than on their technical dimensions. A key element of the course will be an individual project where you develop a plan for how AI could be used in your own organization or some other business context of your choice.

MODULE 1 - AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE

This introductory module guides you through the evolution of key AI technologies and how they have developed to transform industry and business practice. The relationship between AI and collective intelligence, as well as the implications of this partnership for business strategy and society are also introduced. As part of an ongoing project, you’ll begin to consider your own organization in terms of the application of AI technologies.

MODULE 2 - MACHINE LEARNING IN BUSINESS

In this module, you’ll explore the core concepts of machine learning – an AI technology which aims to design, understand, and use computer programs to learn from experience. Discover how machine learning can be successfully integrated into business functions through rich case studies and faculty-led videos that examine the opportunities that this subfield of AI affords. For your ongoing project, you’ll propose ideas for the application of machine learning in a business context of your choice

MODULE 3 - NATURAL LANGUAGE PROCESSING IN BUSINESS

This module is devoted to natural language processing (NLP), an AI technology developed to intelligently process human language. Through rich case studies and faculty-led videos, which explore functions such as machine translation, summarization, and sentiment analysis, you’ll learn how NLP can be skillfully deployed in a series of business contexts. For the next part of your project, the focus will shift to NLP and its strategic implementation in a business context of your choice.

MODULE 4 - ROBOTICS IN BUSINESS

This module delves into the key elements of robotics as a transformative AI technology, with a focus on automating processes and tasks. Through rich case studies and faculty-led videos that survey robots and autonomous vehicles, you’ll learn how robotics can benefit an organization. You’ll have the opportunity, once more, to submit ideas regarding the potential for robotics to be deployed in a business context of your choice.

MODULE 5 - ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY

In this module, you’ll see examples of other kinds of AI as well as return to collective intelligence and the human-machine relationship. Here you’ll also consider the impact of AI on jobs, and the ethical and social implications of AI integration. You’ll be tasked with anticipating and planning for the risks and considerations that may apply to integrating AI in a business context of your choice.

MODULE 6 - THE FUTURE OF ARTIFICIAL INTELLIGENCE

This module will allow you to imagine the future of AI and its potential use in your organization. Using what you have learned from the previous modules, you’ll create a business roadmap for the strategic implementation of AI and collective intelligence into an organization of your choice.

This executive program integrates rich, interactive media such as videos, infographics, and e-learning activities as well as traditional didactic components such as written study guides (course notes). There are opportunities for collaborative learning through discussion forums. The program begins with an Orientation to welcome you to the Online Campus. During Orientation, you will explore your analysis environment, become comfortable with your new online classroom, meet your Success Team, and get to know your fellow classmates

After Orientation, the course is broken down into six manageable, weekly modules, designed to accelerate your learning process through diverse learning activities:

  • Work through your downloadable and online instructional material
  • Interact with your peers and learning facilitators through weekly class-wide forums and small group discussions
  • Enjoy a wide range of interactive content, including video lectures, infographics, live polls, and more
  • Investigate rich, real-world case studies
  • Apply what you learn each week to quizzes and ongoing project submissions

Each module is released weekly, allowing a flexible but structured approach to learning. You’ll be supported as you engage in individual activities and group discussions, ensuring you feel confident to submit your best work at each weekly deadline. The time commitment is estimated at 6-8 hours per week, self-paced and entirely online.

Success Team

Throughout the course of the program, you will be supported by a team of professionals.

  • Head Facilitator: A subject expert who’ll guide you through content-related challenges
  • Success Manager: Your one-on-one support available during MIT hours (9am - 5pm EST) to resolve technical and administrative challenges
  • Global Success Team: Available 24/7 to solve your tech-related and administrative queries and concerns

Who should attend

This program is designed to prepare those with strategic decision-making responsibilities – such as aspiring managers, current managers, and high-level executives – to effectively analyze, articulate, and apply key AI management and leadership insights in their work and that of their teams and organizations.

Experts

Alex `Sandy' Pentland directs MIT's Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program, and advises the World Economic Forum, Nissan Motor Corporation, and a variety of start-up firms. Sandy is among the most-cited computational scientists in the world, and a pioneer in comp...

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