AI for Executives: A Hands-On Workshop by Arctic Blue
Join us on May 7 in NYC for a high-impact, 3-hour session designed for senior leaders ready to move beyond the AI buzz. Learn how to apply generative AI tools to real business challenges—from strategy to operations. You’ll leave with practical skills in prompt engineering, a clear understanding of AI’s risks and opportunities, and a roadmap to drive innovation in your organization.
This workshop is ideal for C-suite leaders, VPs, and directors across industries. No technical background required. Seats are limited.
Agenda: AI for Executives
May 7, 9:30 AM–12:30 PM
13 East 19th Street
Welcome & Executive Briefing
Overview of generative AI’s strategic relevance
Key trends and risks for leadership teams
Generative AI: What Leaders Need to Know
Understanding foundation models (e.g., GPT-4, Claude)
Use cases across strategy, operations, HR, and marketing
Risks: hallucinations, bias, and governance challenges
Case studies
Prompt Engineering for Executives
Hands-on: crafting prompts for business tasks
Techniques: zero-shot, few-shot, chain-of-thought
Tools: ChatGPT, Claude, and enterprise copilots
Evaluating and refining AI outputs
AI Strategy in Action
Small-group exercise: define a high-impact use case
Map AI to business goals and KPIs
Discuss change management, trust, and ROI
Learn from experimentation frameworks
Executive Roundtable & Next Steps
Peer insights: what’s working, what’s next
Resources for continued learning and implementation
Optional follow-up: Arctic Blue’s AI Strategy Sprint
Start with Mindset, Not Models: Before executives can lead AI transformation efforts, they need to reshape their mindset. An ‘AI-first’ mindset unlocks strategic potential that tools alone cannot.
Friction is a Feature: Effective workshops challenge assumptions and spark breakthrough thinking.
Make It Real, or It Doesn’t Stick: Theory fades fast. Executives must see, debate, and experience AI solving real business problems.
From Talk to Test: The shortest path to AI value is experimentation. Ideas are only useful if they can be tested, iterated, and applied.
Tie AI to Business Priorities: No AI project survives without relevance. Start with a clear business problem and align AI use cases with executive-level goals.
Immediate Application is the Benchmark: Apply new skills, frameworks, or thinking in your job the next day.