Portfolio Thinking: Emerging Perspectives – Strategic Portfolio Management in the AI-First
📅 Date: Sept 15, 2026
🕒 Time: 7:00 pm - 8:30pm EST
🌐 Venue: via Zoom
🎟 Registration: Open to members and the public for a fee
Speaker Bio:
Vinod Dhiman is a technology executive whose work spans artificial intelligence, enterprise security, and strategic program management. He currently serves as Technical Program Manager, Application Security at Amazon Web Services, where he leads large-scale security initiatives protecting global cloud infrastructure. With more than 24 years of experience across cloud architecture, cybersecurity, healthcare digital transformation, and AI research, he brings both executive leadership and deep technical expertise to his engagements.
A PgMP and PMP credential holder, IEEE Senior Member, patent holder, published author, and speaker, Vinod has presented at numerous PMI chapters and international conferences. He is also a judge for the MIT 100K Entrepreneurship Competition and various technology and business awards programs.
Strategic Portfolio Management for the AI-First Era
Join Vinod Dhiman, Senior Technical Program Manager at Amazon Web Services, as he explores how project professionals can adopt portfolio thinking to improve strategic decision-making. Learn practical frameworks for prioritization, portfolio balancing, AI-assisted analysis, and value-based investment planning in an increasingly complex business environment.
Session Summary:
In today's complex and resource-constrained environment, project and program managers must embrace portfolio thinking to drive strategic value. This session explores practical frameworks for evaluating, prioritizing, and managing portfolios based on business impact, risk, and alignment with organizational goals.
Through real-world examples and AI-enabled portfolio management concepts, participants will learn how to apply value-based prioritization, balance short-term wins with long-term growth investments, and use data-driven insights to make more confident strategic decisions. Attendees will gain practical tools to move beyond reactive project delivery and become proactive portfolio leaders in an AI-first business environment.
Learning Objectives:
Participants will learn how to:
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Apply value-based prioritization using business impact, risk exposure, and strategic alignment while leveraging AI-assisted scoring and scenario modeling.
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Evaluate and balance portfolios across short-term initiatives and long-term strategic investments, including AI and automation opportunities.
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Use AI-generated portfolio insights, delivery forecasts, dependency mapping, and resource analysis to support effective portfolio decision-making.
