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.

The Class

Format
Hybrid (online + classroom)

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
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

Peggy Smyth
Partner - QIC
The course has been excellent, offering valuable insights into AI governance, data quality, and ethical considerations. Networking with AI experts has been incredibly beneficial.
Andy Merryman
CTO - TED
The course delved into real-world applications. It also enabled cross-industry collaboration and learning from each other.
Subu Iyer
Global Head of Cloud Services and IT - Syngenta Group
I recommend this course to individuals looking to scale AI within their organization, as it thoroughly explores both the value of AI and its operating models.
Vibhav Prasad
CEO - CreateMe
A breath of fresh air. Ed and Jepson are dynamic and passionate. The panel shared their failures and learnings. Strong interaction and networking.
Stephen Reisert
Vice President - RSE Ventures
A great introduction to AI with practitioner insights and case studies. Ed and Jepson are amazing co-leads.
Robert Jakobsze
President and CIO - Irydion Inc.
The course was instrumental in helping me understand the data challenges and opportunities in AI. I learned how to manage data quality and get value out of AI projects.
Mary Cassai
COO - Hospital for Special Surgery
It was really rewarding and inspiring to learn from the experts and co-leads of NYU’s AI program. They helped me think how to integrate AI in healthcare and enhance my strategy and operations.
Dr. Hassan Mohaideen
CEO - Comprehensive Healthcare Systems, Inc.
A very useful and enjoyable AI masterclass with Ed Watal and Jepson Taylor, the co-leads of NYU’s AI program.
Jeremy Groeteke
Head of Computational Agronomy - Syngenta Group
The course was valuable and enjoyable. It level set the AI terms and terminologies and delved into real world applications. It also enabled cross industry collaboration and learning from each other.
Chun Schiros PhD
Head of Enterprise Data Science - Regions Bank
Learned the nuts and bolts of AI and how to apply it responsibly. Ed and Jepson have in-depth experience and perspective.

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)
Jed Dougherty
Vice President of Platform Strategy at Dataiku
Thomas Robinson
Chief Operating Officer at Domino Data Lab
Dan Shiebler
Head of AI/ML at Abnormal Security
Ayan Bhattacharya
Vice President Generative AI Practice Leader at Capgemini
Chen Wang
Lead Alliance Solution Architect at AI21 Labs
Nicholas King
Founder and CEO at Data Kinetic
Kumesh Aroomoogan
Co-founder and CEO at Accern, Forbes 30 Under 30
Jon Krohn
Founder, Nebula.io
Jon Krohn is a preeminent data science leader and entrepreneur driving innovation in machine learning and generative AI. As Co-Founder and Chief Data Scientist of Nebula.io, he spearheads R&D on cutting-edge natural language models and AI solutions to automate and augment business processes.
Deepali Vyas
Global Head of Fintech and Applied Intelligence, Korn Ferry
Deepali Vyas is a trailblazing leader at the forefront of empowering the next generation through education, mentorship, and innovative technologies. She currently serves as the Global Head of FinTech and Applied Intelligence (Data Science & AI) at Korn Ferry, a leading organizational consulting firm, and also Founder and CEO of Fearless+.
Sheetal Kohli Rishi
Vice President High Performance Computing, HP Enterprises
Sheetal Kohli Rishi is a visionary strategist driving transformative change. She thrives on executing large-scale, multi-year efforts. As VP of High Performance Computing & AI Deployments at HPE, she paves the way for scientific breakthroughs. Her leadership philosophy centers on simplicity, meritocracy, and rejecting bureaucracy.
Steve Nouri
Founder, Generative AI
Steve Nouri is a data science evangelist and pioneer in the field of artificial intelligence. As the Founder and a board member of Generative AI, he leads a team staying ahead of the latest innovations and advancements, creating a hub for professionals to learn about cutting-edge generative AI developments.
Daniel Hulme
Chief AI Officer, WPP
Daniel Hulme, PhD, is a globally-renowned expert and thought leader in Artificial Intelligence (AI) and emerging technologies. As Chief AI Officer at WPP, the world's largest marketing company, he spearheads the group's AI vision, capability development, curation of solutions, and exploration of new opportunities.
Alon Konchitsky
Head of Artificial Intelligence, Imagry
Alon Konchitsky is a renowned technology leader and AI expert currently serving as the Head of Artificial Intelligence at Imagry. He spearheads the development of AI, hardware and software solutions for the world's first Software Defined Vehicle and Mapless Autonomous Driving system
Feifei Wu
General Partner, CIO at Edward Jones
Feifei Wu is a highly-accomplished technology executive and General Partner, CIO at Edward Jones, where she focuses on wealth management and investment management technology.
Ram Nagappan
Chief Information Officer, BNYMellon Pershing
More than 30 years of information technology experience, driven by Purpose, known for Creativity, an Empathetic leader, and a Strategic Influencer across the Corporate world and our Communities.
JoAnn C. Stonier
Chief Data Officer, Mastercard
JoAnn C. Stonier serves as Chief Data Officer for Mastercard, leading the organization’s data innovation efforts while navigating current and future data risks. She oversees the curation, quality, governance and management of the company’s extensive data assets.
Amy D. Grubb, Ph.D
Digital Transformation Advisor, FBI
Amy D. Grubb, Ph.D., is an internationally acclaimed speaker who has presented numerous keynote addresses and workshops on leadership, organizational culture, change, performance, working with others, and storytelling. She has worked directly for three C-level functions (CHRO, CFO, CIO) for the past 15 years and has been with the FBI for over two decades.
Dr. Seth Dobrin
Qantm AI, CEO and General Partner, 1Infinity Ventures/Silicon Sands Venture Studios
Dr. Seth Dobrin is a globally recognized expert in AI. He is the Founder and CEO of the Qantm AI. Previously, he was President of the Responsible AI Institute and Global Chief AI Officer of IBM, where he led the company's AI strategy.
John Nicastro
Chief Data Officer, Major League Soccer
John Nicastro is a technology & corporate executive currently serving as Chief Data Officer at Major League Soccer. In his role, John oversees the League’s data and AI strategy, as well as all Fan technology, including digital products, marketing, and advertising platforms.
Cindi Howson
Chief Data Strategy Officer, ThoughtSpot
Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot and host of the award-winning The Data Chief podcast. Cindi is an analytics and BI thought leader and expert with a flair for bridging business needs with technology.
Nick Elprin
CEO & Co-founder, Domino Data Lab
Nick Elprin is the CEO and co-founder of Domino Data Lab, provider of the enterprise AI platform that powers model-driven companies such as Allstate, Bristol Myers Squibb, Dell and Lockheed Martin.
Matt Turck
Partner, FirstMark
Matt Turck is a Partner at FirstMark, where he focuses on early-stage investments in enterprise software and cloud, with a particular predilection for data infrastructure, ML, and AI.
Florian Douetteau
Co-founder & CEO, Dataiku
Florian Douetteau is the co-founder and CEO of Dataiku, an AI software company that aims to make data analysis and machine learning more accessible. Florian was born in France, where he also pursued his education in Computer Science at ENS Paris.
Ricky Ray Butler
CEO, BENlabs/TubeBuddy
Ricky Ray Butler is an 18-year digital entertainment veteran and a pioneer in using AI technology to reshape the entertainment and media landscape. In 2008, he founded Plaid Social Labs, which was later acquired by BENlabs.

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

Amy D. Grubb, Ph.D
Digital Transformation Advisor, FBI
Amy D. Grubb, Ph.D. is an internationally acclaimed speaker who has presented numerous keynote addresses and workshops on leadership, organizational culture, change, performance, working with others, and storytelling.  She has worked directly for three C-level functions (CHRO, CFO, CIO) for the past 15 years, and has been with the FBI for over two decades.  Amy is currently serving as the Digital Transformation Advisor to the Chief Information Officer at the FBI and is the founder of Organizational Insights, LLC.
Amy D. Grubb, Ph.D
Digital Transformation Advisor, FBI
Amy D. Grubb, Ph.D. is an internationally acclaimed speaker who has presented numerous keynote addresses and workshops on leadership, organizational culture, change, performance, working with others, and storytelling.  She has worked directly for three C-level functions (CHRO, CFO, CIO) for the past 15 years, and has been with the FBI for over two decades.  Amy is currently serving as the Digital Transformation Advisor to the Chief Information Officer at the FBI and is the founder of Organizational Insights, LLC.
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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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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