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12 Results | Last Page
 

Understanding and Predicting Technological Innovation: New Data and Theory

January 29-31, 2020

This course on technological innovation will be organized around three modules on (1) Data, (2) Theory, and (3) Application. In the first module, we will analyze new, large data sets on technological improvement, many of which were collected by the instructor and are the most expansive of their kind. We will cover statistical analysis methods and decomposition models in order to extract useful insight on the determinants of technological innovation. Examples from energy conversion, transportation, chemicals, metals, information technology, and a range of other industries will be discussed. In the second module, we will cover theories, that have been developed in recent years and stretching back several decades, to explain technological innovation. We will cover the disciplinary origins of these theories, the empirical evidence for or against them, and the usefulness of these theories for practitioners from various fields including engineering, chemicals, private investment, and public policy. Building on this insight, in the third module we will focus on applying the data analysis methods and theories covered to inform decisions about technology investment and design. The third module will address questions of specific interest to the class. This module will demonstrate the utility of the material covered and how it can be extended to answer a wide range of important questions relating to investment, research and development, manufacturing, and public policy.

Smart Manufacturing

February 4 - April 22, 2020

Smart manufacturing is a convergence of modern data science techniques and artificial intelligence to form the factory of the future. Smart manufacturing is about increasing efficiency and eliminating pain points in your system. It’s characterized by a highly connected, knowledge-enabled industrial enterprise where all organizations and operating systems are linked, leading to enhanced productivity, sustainability, and economic performance.

MIT Professional Education's Smart Manufacturing online program brings together cutting-edge technology like machine learning, Internet of Things, and data analytics to understand the current transformation of the manufacturing sector.

Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity (online)

February 4 - March 24, 2020

In a rapidly expanding digital marketplace, legacy companies without a clear digital transformation strategy are being left behind. How can we stay on top of rapid—and sometimes radical—change? How can we position our organizations to take advantage of new technologies? How can we track and combat the security threats facing all of us as we are swept forward into the future?

Who is this Program for?
Professionals in traditional companies poised to implement strategic change, as well as entrepreneurs seeking to harness the opportunities afforded by new technologies, will learn the fundamentals of digital transformation and secure the necessary tools to navigate their enterprise to a digital platform.
Participants come from a wide range of industries and include C-suite executives, business consultants, corporate attorneys, risk officers, marketing, R&D, and innovation enablers.

Machine Learning: From Data to Decisions

February 4 - April 7, 2020

It’s a common challenge for decision makers: how do we make optimal choices with so many unknown variables? It turns out that business insights come from turning what is unknown into what is known. Using the tools and techniques that facilitate that process is how machine learning can deliver tremendous impact to your organization.

Who is this Program for?

Decision makers across all business and technical functions will gain a practical understanding of the tools and techniques used in machine learning applications for business. If you manage, or plan to hire or manage, a team of data scientists in the future, this program will teach you the frameworks to be a more effective, forward-thinking manager.
Examples from retail, ecommerce, financial services, healthcare, social media, advertising, technology, gaming, and pharmaceuticals are included in this online program. However, participants from all industries and sectors will find these examples relevant.
Functional and cross-functional teams are encouraged to attend together, to accelerate the machine learning adoption process.

Leadership & Innovation (Spanish Language Course)

February 18 - April 14, 2020

Innovation transforms the world. Leaders in innovation are often the same individuals who become major players in global transformation. At MIT, innovation is our driving force and we make it our business to train the leaders of the new digital economy. Innovation is built on three pillars: inspiration, creativity and motivation. The end goal of this program is for participants to have a firm grasp of all three concepts. Moreover, they will be equipped to use this knowledge to take their own leadership skills to the next level. This is a results-driven program with a very practical approach.

Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity (Spanish Language - online)

February 18 - April 14, 2020

In a rapidly expanding digital marketplace, legacy companies without a clear digital transformation strategy are being left behind. How can we stay on top of rapid—and sometimes radical—change? How can we position our organizations to take advantage of new technologies? How can we track and combat the security threats facing all of us as we are swept forward into the future?

Who is this Program for?
Professionals in traditional companies poised to implement strategic change, as well as entrepreneurs seeking to harness the opportunities afforded by new technologies, will learn the fundamentals of digital transformation and secure the necessary tools to navigate their enterprise to a digital platform.
Participants come from a wide range of industries and include C-suite executives, business consultants, corporate attorneys, risk officers, marketing, R&D, and innovation enablers.

Machine Learning: From Data to Decisions (Spanish Language course)

February 18 - April 14, 2020

Machine learning is having profound effects in many different industries, from financial services to retail to advertising. It is fast becoming a fundamental tool for making better decisions in business—decisions driven by data, not gut feelings or guesswork.

Today, every business has access to reams of data, whether it’s operational data, customer data, third party data, or supplier data. The question for decision makers becomes: How can I use this data to make informed predictions, take action, and evaluate the outcomes for future decision making?

Massachusetts Institute of Technology (MIT) is at the forefront of research and practice for this emerging field within data science. Professor Devavrat Shah, who leads the department of Statistics and Data Science at MIT, takes learners on a deep dive into what’s possible with machine learning.

Innovation: Beyond the Buzzword

June 1-3, 2020

We live in an age of exponential change in which rapid innovation is disrupting and unseating incumbent products and industries, creating new technological frontiers, and challenging nearly everything we think we know about business. For instance, think Uber and the end of the medallion taxi industry. Think Airbnb in twice as many countries as Hilton in less than 5 percent of the time. Think Tesla. Think Oculus. But beyond using the "buzzword," can you really define innovation?

In this course, which is centered on the concept of Design Thinking, your answer to that question will come from actually involving yourself in the activity of innovating.

The course will include lectures from faculty and guests, discussions of case studies in innovation models and methods, and learning expeditions on and beyond the MIT campus. But it will also go beyond these traditional classroom activities to include hands-on experiences with some cutting-edge innovations as well as group work and a class hackathon to engage in genuine innovating ? and through that, to gain an understanding beyond the buzzword. Participants will emerge as more critical thinkers, knowledgeable about what innovation is (and is not), how it happens, how to discern meaningful trends in design and technology, and how to identify opportunities and propose innovative products, services, and experiences. Active class participation, a willingness to engage with others in a creative process, and a recognition that you might have a lot to learn about innovation are all prerequisites for the course.

Who Should Attend: To facilitate the cross-pollination of ideas, approaches, and critical thought, professionals from all industries are welcome. People from across the functional business spectrum will find the course valuable, including strategy leaders, directors of innovation and technology, product managers, engineers, marketers, and R&D personnel. All participants must come with a willingness and enthusiasm to engage and be ready to share their particular passions and expertise.

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