You will gain an overview of AI technologies from machine learning and its implications in the COVID-19 era, to fully autonomous systems.
We need to find a complementary relationship between those who deal with the technology of AI and the managers who understand what drives their companies. Managers don’t need to learn all the technical details, but they do need to understand the implications for their business.
You’ll discover how companies are currently using artificial intelligence and you will immerse yourself in design thinking methodologies to creatively manage your data initiatives. Over the course of the program, you will also develop a fundamental understanding of how to use data analytics to drive more creative and strategic decisions across your organization.
Below are just a few of the sessions you’ll experience as part of the program.
Why Big Data Matters
The business imperative to better exploit data is strong and getting stronger. But simply collecting data is not very useful. The key is to figure out what data to collect, how to analyze it, and how to use it to make business decisions. During this session we will lay the groundwork for the weeks ahead by looking at two very different settings where companies used data to generate competitive advantage. These two examples highlight both the potential to use data to improve performance and the fact that data science initiatives are extremely varied — there is no simple “cookbook”.
The Future of the Workplace: Demographics, Robots, and Other Disruptions
The only thing predictable about the future of work is that there will be lots of change. One day you read that there is a looming labor shortage as the population ages, the next you read that mass unemployment is right around the corner due to the advent of robots and other artificial intelligence. In this session, we will look at trends in the labor market and the future of work. We will consider how demographic changes present business and labor market opportunities, as well as challenges. Will the robots really come and, if so, what are the managerial implications for today’s employers? We will discuss how the answers to these and related questions varies dramatically by labor market and with what level of skill your company needs.
Training Humans to Understand Artificial Intelligence
A growing proportion of human activities such as social interactions, entertainment, shopping, and gathering information are now mediated by digital devices and services. Such digitally mediated activities can be easily recorded, offering an unprecedented opportunity to study and measure intimate psycho-demographic traits using actual — rather than self-reported — behavior. Our research shows that digital records of behavior, such as samples of text, Tweets, Facebook Likes, web-browsing logs, or even facial images can be used to accurately measure a wide range of traits including personality, intelligence, and political views. Such big data assessment has a number of advantages:
- It does not require participants’ active involvement
- It can be easily and inexpensively applied to large populations
- It is relatively immune to cheating or misrepresentation
If used ethically, it could revolutionize psychological assessment, marketing, recruitment, insurance, and many other industries. In the wrong hands, however, such methods pose significant privacy risks. In this session, we will discuss how to reap the benefits of big data assessment while avoiding the pitfalls.