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Most organizations today are rapidly adopting AI. Copilots are being embedded into workflows, predictive analytics are expanding across functions, and generative AI tools are becoming commonplace. On the surface, it appears that enterprises are becoming AI-enabled. But beneath this activity lies a critical gap: AI adoption is not the same as AI readiness. In this session, explore what it truly means to become an AI-ready enterprise. Moving beyond tools and pilots, we examine the foundations that determine whether AI can consistently deliver trusted, scalable, and measurable business outcomes.
 

An AI-ready organization is not defined by the number of models deployed, but by its ability to align data, business context, governance, and decision-making into a cohesive system that enables confident, enterprise-wide action.

Participants will gain insights into the five core pillars of AI readiness:

  • Trusted data foundations
  • Semantic consistency and shared business meaning
  • Business and decision clarity
  • Governance and responsible AI practices
  • Outcome-driven strategy

The session will also highlight the cultural and leadership shifts needed to move from experimentation to sustained value, along with the evolving role of business analysts as key translators between business, data, and AI systems.

Designed for leaders, practitioners, and decision-makers, this session provides practical perspectives for building a strong foundation for AI success.

Key message: AI alone does not transform organizations—readiness does.


Learning Outcomes

By the end of this session, participants will be able to:

  • Distinguish between AI adoption and true AI readiness
  • Understand the five foundational pillars of an AI-ready enterprise
  • Recognize the importance of semantic alignment in achieving reliable AI outcomes
  • Identify the organizational and cultural changes needed for scaling AI
  • Appreciate the growing role of business analysts in enabling AI-driven value

About the Speaker:

A seasoned leader with over 27 years of experience in technology, analytics, and business transformation, the speaker specializes in helping organizations turn data into meaningful business value. With a strong focus on aligning AI, analytics, and business strategy, they have led initiatives that enable smarter decision-making and measurable outcomes.

Currently leading Data & Analytics in the manufacturing sector, their work emphasizes building AI-ready organizations through trusted data, governance, and strong business alignment. Their expertise spans enterprise analytics, business intelligence, ERP ecosystems, and digital transformation.

Passionate about bridging the gap between business and technology, they are an active leader in the professional community, serving as President of the IIBA Vancouver Chapter, a speaker, mentor, and author.