Live Online Program
The live online program is packed with engaging and interactive learning experiences. Through live sessions, group-based exercises, and application exercises, participants will have the unique opportunity to engage with faculty virtually in real-time.
How does a company utilize artificial intelligence to its best advantage? What are the implications of transforming massive amounts of data into actionable knowledge? In the face of ever evolving and challenging environments, artificial intelligence and big data have become essential in a leader’s strategic skillset. Harnessing AI and Big Data: Analysis to Action will help you gain a competitive edge and enhance your company’s performance and productivity. After completing the program, you will be equipped to better understand and lead the data scientists and groups that produce AI tools.
Faculty members from across Stanford University will come together to share their research and strategic insights on artificial intelligence, big data, and their impact on our greater society. This holistic approach will enable you to analyze critical real-world problems and apply methodologies to your own team and organizations.
You will hear from Stanford faculty, Silicon Valley leaders, and other industry experts on how to create data-driven strategies that enhance decision making across your organization. Following the delivery of synchronous online sessions, faculty will provide you with real-time feedback on project-based challenges, transforming your learnings into action. You will examine real-world scenarios and formulate action plans with a set of people who confront similar problems. No technical or statistical expertise is required, just a desire to improve decisions, gain a competitive edge, and enhance your company’s performance, productivity, and processes.
Designed for senior executives and decision makers — from any size company, any industry, and any country — who seek to become more data and analytics savvy, who work with internal and external technology teams, recognize the importance of AI and big data, and want to responsibly harness it.