The Artificial Intelligence: Implications for Business Strategy online short course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to help you understand how new technologies like machine learning, natural language processing and robotics could alter your business strategy.
Delivered in collaboration with GetSmarter, this program combines the immense knowledge of MIT Sloan and MIT CSAIL with a people-focused, personalized online learning experience. This combination creates a powerful professional and developmental environment; an advantage in a highly-competitive world.
In this program, you’re active in creating new knowledge through collaboration, solving meaningful and relevant problems, and applying your learnings to a real-world context by focusing on how to use AI in an organization of your choice. Clear learning outcomes included in each module facilitate intellectual engagement and allow you to construct new ideas, building on prior knowledge as you move through the program.
A variety of tools and resources are leveraged to enhance your learning experience. In addition, constructive support and feedback is offered throughout the program.
An example of how you’ll learn
In Module 2: Machine Learning in Business, 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.
You’ll discover how to integrate machine learning into your business functions through rich case studies and faculty-led videos examining the opportunities this subfield of AI affords. By the end of the module, you’ll propose ideas for the application of machine learning in a business context of your choice.
Watch this video from Module 2 of the MIT Artificial Intelligence: Implications for Business Strategy online program, where Thomas Malone, Patrick J McGovern Professor of Management (1959) and Founding Director of the MIT Center for Collective Intelligence, takes you through the process of integrating machine learning and artificial intelligence into business management:
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So, there are two main ways of using machine learning in business – sensing and predicting.
So, sensing means perceiving large amounts of data from sensors in the world and learning how to recognize what’s there. This is especially useful with images, but it can also be used for sensing things like sounds and vibrations and so forth. For example, sensing using machine learning could happen for recognizing faces, recognizing retinas or fingerprints, analyzing what is present in a scene, for instance we will hear about self-driving cars and how they use machine learning to recognize cars and dogs and pedestrians and other things in a visual scene.
The second way of using machine learning in business is for predicting things. Programs can use large amounts of data, of any kind, to predict what will happen in the future. For instance, programs based on massive amounts of data can help predict financial fraud, disease based on symptoms and lab tests, mechanical failure based on various kinds of sound and vibration data, even crop yields based on photographs of the fields and information about weather, and so forth.
We will see several examples of using machine learning programs to do sensing and predicting. Did you understand all the concepts covered in this video? If you’d like to go over any of the sections again, please click on the relevant button.