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Sloan School of Management

Artificial Intelligence: Implications for Business Strategy

★★★★★4.8 • 10 reviews
A powerful collaboration: MIT Sloan and MIT CSAIL
May 29—Jul 16
Online
USD 3200
Jun 12—Jul 30
Online
USD 3200
Aug 14—Oct 1
Online
USD 3200
+4 more options

How it works

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

What will set you apart

Earn a certificate of completion from MIT Sloan in this online program that will empower you to:

  • Support informed, strategic decision making and augment business performance by integrating key AI management and leadership insights into the way your organization operates
  • Transform your organization into an innovative, efficient, and sustainable business of the future through a practical grounding in AI and its business implications and applications
  • Innovate your leadership with a foundational understanding of how to work with and alongside AI to inform strategic decision making, increased efficiency and profitability, and improved employee engagement
  • Develop a roadmap for the strategic implementation of AI technologies in a business context

Explore AI from a business perspective

This MIT Sloan online program is delivered in collaboration with online education provider GetSmarter. Learn from industry thought leaders as you investigate the implications of artificial intelligence for leadership and management, and network with like-minded business leaders from across the globe in this online executive program from MIT Sloan and MIT CSAIL.

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...
Tom Malone is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. He was also the founder and director of the MIT Center for Coordination Science and one of the two founding co-directors of ...
Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director ...

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Course reviews

Sergio R, It Senior Executive from Spain 2017
★★★★★4.9
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): very good
Industry:Accounting
Operations Manager from California 2018
★★★★★5.0
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): excellent
Primary takeaway: The latest technologies and the strategy on applying the technology to my career.
Industry:information technology
Bart W, It Manager from Belgium 2018
★★★★★4.9
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): excellent
Primary takeaway: The vast possibilities of AI (also RPA, Robotics), a good basis of the theory, but also the immediate applications. Building the business case was also a great learning experience as it forces you to really think out of the box.
Things to improve: Gather links to the documents we use along the course in a reference / biography at the end of the course, so it is easy to find them back later on, without having to go search through the texts. The session with the program coordinator need to be better announced, earlier also. IMHO, the course should kick off with him opening the program and doing an introduction. I know only discovered these after the third session ... There is too much going on in too many different 'chat' groups that one misses some important communications.
Industry:information technology
Business Owner from Greater Los Angeles Area 2018
★★★★★5.0
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): excellent
Primary takeaway: Understanding AI today, it's future implications, a deeper understanding of ML, DL, robotics, and NLP and how to apply this knowledge to my business.
Things to improve: Quite frankly it was excellent if I could change one thing is that they would have a continuation of the first.
Industry:entertainment
CEO / Board Member from Greater New York City Area 2018
★★★★★4.8
Course quality: very good
Instructors: very good
Other (e.g. materials, infrastructure): excellent
Primary takeaway: The role AI and ML can play in my company
Things to improve: N/a
Industry:financial services
Anshuman D, Executive from California 2018
★★★★4.4
Course quality: excellent
Instructors: good
Other (e.g. materials, infrastructure): good
Primary takeaway: Introduction to AI in a simple and understandable manner.
Things to improve: Engagement with other students by creating virtual teams.
Industry:professional services
IT Executive from Greater Seattle Area 2018
★★★★★4.7
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): very good
Industry:information technology
IT Senior Executive from Italy 2018
★★★★★4.7
Course quality: excellent
Instructors: very good
Other (e.g. materials, infrastructure): very good
Primary takeaway: Assignment (for practical application to my enterprise reality) and forums for global networking
Things to improve: Deepen the technical insight (i.e. explicitly ecplaining the shift from determinist to probabilistic paradigm). Yet, this is ok for a researcher like me, maybe not a priority for an executive.
Industry:education
Operations Senior Executive from New Jersey 2018
★★★★★4.6
Course quality: very good
Instructors: excellent
Other (e.g. materials, infrastructure): very good
Primary takeaway: How to plan for AI/Machine Learning implementation into a corporation.
Things to improve: deeper dives into the various forms of AI systems
Industry:pharmaceutical
Executive from South Africa 2018
★★★★★5.0
Course quality: excellent
Instructors: excellent
Other (e.g. materials, infrastructure): excellent
Industry:marketing