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Berkeley Global
The initial rush for AI is now giving way to much more pragmatic and balanced approaches that can bring rapid value across businesses. We start with an understanding of these three core assumptions:
- Not everyone has advanced expertise in math and stats.
- Businesses don’t have millions of dollars to spend on AI and Machine Learning initiatives.
- Business professionals have real operational problems to solve.
In this asynchronous lecture, lead instructor Dan Feld discusses how data complexity and volume requires new strategies to capture relevant signals within all of the noise. Learn practical tools on how to start making AI work for your business through concrete examples and advanced analytics techniques.
Expert Speaker: Dan Feld, head of Global Enterprise Business, Hardware Partnerships at Google
Guest Speaker: Moshe Benbassat, chairman of Plataine Inc.; former founder, chairman and CEO at ClickSoftware
Prerequisites:
No specific prerequisites or entrance requirements needed to enroll.
Before starting the course, we strongly recommend that you have attended the free expert panel public event:
Navigating the Pitfalls and Opportunities of AI and ML for Business.
Course Outline
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Course Objectives
Upon completion of this seminar, students will:
- Understand the starting point of Artificial Intelligence (AI) and Machine Learning (ML) in business, the role of machines, and how to use AI and ML to predict with regressions, classify and cluster.
- Describe AI and ML processes and how to translate them for business applications.
- Translate the role of human beings in relation to AI and ML in business.
- Take concrete actions to utilize AI and ML for business needs.
Intended Audience
- Business analysts
- Junior data scientists
- Business finance and operations professionals
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Fall enrollment opens on June 20!