
Artificial Intelligence Master Class
Exponential Opportunities. Existential Risks. Master the AI-Driven Future.
2-Week Online Learning
Online / Remote
Week 1
March 06-13
Wednesday - Wednesday
Week 2
March 14-20
Thursday - Wednesday
3-Day Live Workshop
Live / New York
Week 3
March 22-24
Friday - Sunday
Master the AI-Driven Future
Become a more effective leader at navigating your organization through the coming wave of AI-driven change.
Gain the tools and knowledge to leverage AI’s exponential opportunities and avoid its existential risks.
Gain the tools and knowledge to leverage AI’s exponential opportunities and avoid its existential risks.
The Class
Format
Hybrid (online + classroom)
3 weeks of Online Learning & 3 days of live workshop at NYU’s New York campus.
3 weeks of Online Learning & 3 days of live workshop at NYU’s New York campus.
Participants
Board members and C-level executives.
Teaching style
Highly interactive combining action learning, live cases, lectures, and classroom discussion, with bite-sized self-learning elements.
Content
Acquire the tools and knowledge to master the AI-driven future. The class leads you systematically - and jargon-free - through AI in business, always with an eye on ‘How to use it on Monday’.
Dates
Online: Mar 06– Mar 21 2024
In Person (NYC): Mar 22 to Mar 24, 2024
In Person (NYC): Mar 22 to Mar 24, 2024
Faculty
World-class faculty who combine rich experience in teaching and coaching executives, with in-depth knowledge of AI and business.
Panels
Day 1 and Day 2 of the in-person workshop culminate in panel discussions. The panelists are leading industry practitioners and include some of the world’s most experienced and knowledgeable AI experts.
Outcome
Be prepared for what’s just starting to unfold: the Age of AI.
In the AI Masterclass you will learn...

Strategy
Align your Al strategy and portfolio to your company and data strategy

Industry Dynamics
Understand how Al will disrupt your organization and industry

Regulation
Anticipate regulatory trends and develop scenarios how to adapt

Costs & Revenue
Use Al to drive down costs and increase revenue

Innovation
Innovate faster and more efficiently

Digital Transformation
Connect Al strategy to your company-wide digital transformation

Risks
Anticipate and manage risks

Success factors
Determine critical success factors and pitfalls for Al projects

Ethics and Governance
Define your personal position on Al governance and ethics

Roadmap
Develop an AI- roadmap for your company
Panel Members






Participant profile
Board members and C-level executives of listed and large private organizations as well as government agencies and NGOs.






Program Structure and Schedule
2 Week Online Learning
Online / Remote
Week 1
March 06-13
Wednesday - Wednesday
Week 2
March 14-20
Thursday - Wednesday
3 Day Live Workshop
Live / New York
Week 3
Mar 22-24
Friday - Sunday
Faculty
Ed Watal
Founder and Principal, INTELLIBUS
Ed Watal is the founder and principal of Intellibus, an IT strategy consultancy with 65 transformation consultants based in Reston, Virginia. He regularly serves as a board advisor to the world's largest financial institutions. C-level executives rely on him for IT strategy.

Jepson Taylor
Chief AI Strategist, Dataiku
Jepson Taylor has over 18 years of machine-learning experience. After studying chemical engineering, Taylor worked for Intel/Micron in applied semiconductor building process control and fault models. After that, he worked as a quant at a hedge fund on a 600 GPU cluster.

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What’s in this brochure:
- Course overview
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- Benefits of the program to you and your organization
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