Exponential Opportunities. Existential Risks. Master the AI-Driven Future.
Artificial Intelligence Masterclass
2-Week Online Learning
Online / Remote
Week 1
April 10-16
Thursday - Wednesday
Week 2
April 17-23
Thursday - Wednesday
3-Day Live Workshop
Live / New York
Week 3
April 25-27
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)
2 weeks of Online Learning & 3 days of live workshop at NYU’s New York campus.
2 weeks of Online Learning & 3 days of live workshop at NYU’s New York campus.
Participants
Senior Leaders, C-Level Executives, Board Members
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: April 10-23, 2024
In-Person (NYC): April 25-27, 2024
In-Person (NYC): April 25-27, 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.
What our participants say
In the AI Master Class 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
Panel Members Fall Term 23 (Panel Members for Spring Term 24 will be announced soon)
Participant profile
Senior Leaders, C-Level Executives, Board Members 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
April 10-16
Thursday - Wednesday
Week 2
April 17-23
Thursday - Wednesday
3 Day Live Workshop
Live / New York
Week 3
April 25-27
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
Former Chief AI Strategist, Dataiku; AI Start Up Founder; Podcast Host
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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Download Brochure
What’s in this brochure:
- Course overview
- Learning journey
- Learning methodology
- Faculty
- Panel members
- Benefits of the program to you and your organization
- Admissions
- Schedule and tuition
- Location and logistics
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