john halberstadt

John Halberstadt is both a Vice President of Consulting as well as the Vice President of the Northern Nevada PMI.

He has over two decades of experience in leadership positions such as CIO, CTO, and Vice President of Technology, with a focus on Finance/FinTech and Insurance/InsurTech.

John’s contributions to enhancing business agility extend beyond these industries. He has worked with a diverse range of sectors, including Healthcare, Retail, Utilities, and Artificial Intelligence, assisting organizations in their pursuit of greater agility and value realization from technology investments through Agile principles.

Discover how organizations are using AI not just as a technology, but as a catalyst for enterprise-wide transformation. This session explores practical strategies for aligning AI initiatives with core business goals — enhancing operational efficiency, decision-making, and scalability.

Target Audience:

This session is designed for business and technology leaders and professionals involved in shaping or executing transformation initiatives. 

Whether you’re guiding strategy or supporting implementation, you’ll gain insights into how AI can drive meaningful change across the organization. 

Expect a session that challenges assumptions, sparks innovation, and moves participants from curiosity to action using a framework and systematic approach. 

Learning Outcomes:

Participants will leave with a strategic and actionable understanding of what it takes to lead successful AI-driven business transformation, particularly concerning operational excellence..

Key Takeaways:

• A practical framework for assessing AI readiness, including organizational alignment, data infrastructure, and risk controls.
• A practical framework for managing Transforming Business with AI.
• Methods to avoid common pitfalls—from rushing implementation to underestimating change management.
• Strategies to challenge hype-driven assumptions and focus on real value creation.
• Guidelines for developing realistic budgets, timelines, and accountability structures.
• Change management and measurement practices that link AI initiatives to clear business outcomes.