Info-Tech Research Group

AI Workforce Development – Accelerate Your AI Architecture Journey

March 12, 2026, 3-6pm | New York, NY

Event Countdown

321 days

20 hours

49 minutes

46 seconds

Join your peers for an Info-Tech LEVEL-UP AI Event

Event Highlights:

  • High-impact, half day session focused on accelerating your AI architecture journey.
  • Key Takeaway: AI Agent Scaling Decision Tree.
  • Based on foundational AI content from Info-Tech's AI Workforce Development Program .
  • Connect with fellow participants at a Dinner Reception after the training.
  • This event is a complimentary training program offered at no cost to participants.

Program Overview

Scaling AI is complex, but it becomes manageable when strategy, use case selection, and governance work together. In this half day session, participants will learn how AI agents differ from traditional chatbots and models – and why that distinction matters for scalable, high impact solutions. They will identify high value AI opportunities, assess readiness across data, infrastructure, and governance, and understand how governance frameworks support regulatory and security requirements. Participants will then translate these insights into concrete architecture needs and actionable next steps aligned with business priorities.

Learning Outcomes

  • Explain how AI agents differ from chatbots and traditional models (and why it matters for scaling).
  • Identify suitable AI use cases that are high-value for organizations.'s organizations.
  • Evaluate your organization’s AI readiness across data, infrastructure, and governance.
  • Leverage governance to address regulatory requirements and security risks for the AI lifecycle.
  • Translate your diagnosis into specific architecture requirements and actionable next steps
  • Earn Info-Tech-endorsed CPE credit hours.

Program Schedule

3:00 - 4:15 PM Part 1: AI Patterns and Design Principles
 
  1. AI Agents: What they are and why they matter
  2. Identifying High-Value AI Use Cases: Criteria for selecting your AI initiative
  3. Evaluating Organizational Readiness: Data, infrastructure, and governance – can the systems scale?
4:15 - 4:30 PM 15-minute break
4:30 - 6:00 PM Part 2: Governance and Roadmapping
 
  1. Red Flag/Green Flag Scenarios: Feasibility of real-world use cases
  2. AI Governance: Protection and Clarity: Managing risk across the AI stack
  3. From Diagnosis to Action: Building your roadmap

Deliverable: AI Architecture Reference Map.
6:00 PM Onward Networking Dinner Reception 

 

Meet Your Facilitator

Donald McGillivray, Artificial Intelligence Instructor

Donald McGillivray is an AI/ML researcher, developer, and educator whose work bridges deep technical experimentation with practical enterprise adoption. With a decade of research experience and a PhD in physical chemistry, Donald has translated machine-learning methods from materials science into industrial applications, becoming a recognized expert in building AI systems that are explainable, measurable, and deployable at scale.

As an AI instructor, Donald brings a hands-on, systems-thinking approach to teaching. Blending academic rigor with an educator’s clarity, he guides organizations in transforming AI from experimental prototypes into disciplined, value-driven practices that advance both innovation and trust.

 

Event Location:
The Capital Grille- Rockefeller Center
120 W 51st St. New York,
New York,
10020

Register Now