The Practical Use of AI in Project Management
Event: The Practical Use of AI in Project Management (Webinar)
Date: April 16th @ 11AM-12PM CST
Location: Zoom
PDUs: 1
>> FREE for Members and Non-members!
Registration instructions:
1. Click on REGISTER FOR THIS EVENT
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Guest Speaker Biography:
Rick Hefner, PhD, Caltech Center for Technology & Management Education

As the Executive Director of Caltech CTME, Dr. Rick Hefner designs and oversees advanced professional programs for technology-driven organizations, focusing on how leaders can navigate digital transformation, AI adoption, and project management. With over 45 years of experience in project and organizational leadership, Dr. Hefner has served as a strategic advisor to over 50 Fortune 500 companies and government agencies. He is a prolific speaker and educator, credited with over 200 professional presentations and publications.
Webinar Description:
The rapid ascent of Generative AI and autonomous agents has shifted from a curiosity to a strategic necessity. While many project managers have experimented with basic prompt engineering, the real challenge lies in moving beyond the pilot phase into a structured, organizational framework that scales AI safely and effectively.
In this talk, we explore how GenAI can be leveraged for practical gains—such as automating risk identification, refining requirements, and deploying AI agents to handle routine administrative tasks—while freeing the PM to focus on high-value strategic leadership. We will move past the hype of individual tools to focus on the organizational infrastructure required to deliver consistent value. Attendees will leave with a practical blueprint to demystify AI, reduce administrative burdens, and position their teams as the primary engine for AI-driven value delivery.
Objectives:
- Understand the state-of-the-practice in using AI to automate routine project management tasks.
- Establish the guardrails and ethical standards needed to encourage experimentation while mitigating hallucinations and security risks.
- Develop strategies to integrate AI solutions into existing project workflows without succumbing to "tool fatigue".
- Move beyond basic prompts to create centralized libraries and reusable AI components that preserve institutional memory.



