This is a SPECIAL All-Day workshop and networking event that will walk participants through the core building blocks of modern data foundations, from architecture and modeling to shared definitions and AI-ready design. This is a uniquely exciting opportunity for those looking to understand and modernize their data infrastructure in finding new ways at building trust in your data across your organization.
This event is supported by the Malloy open-source project and its contributors (Google's Looker Cofounder: Lloyd Tabb and Michael Toy). This event is also supported by https://credibledata.com/context engine.
This interactive workshop is designed for people who work with data, rely on data, or are responsible for data outcomes. ex. Leaders impacting Data Strategy, Data Product Managers, Data Project Managers, Data Engineers, Aspiring Data Persons, Data Analysts, Data Scientists, Data Strategy Roles, Data Program Managers, Non-Profit Technical Teams or Data Teams, etc.
Why attend this event?
This event is important because most organizations don’t struggle because they lack data, they struggle because they can’t trust it.
One dashboard says revenue is up, another says it’s down. Teams spend meetings debating numbers instead of making decisions. Reports break when systems change. AI tools and Copilots promise insights but produce answers no one feels confident acting on.
This workshop breaks down (in plain language) why these problems happen and how modern organizations are able to design data foundations to avoid them. You’ll see practical examples of how inconsistent definitions, poorly designed reporting layers, and missing shared context lead to confusion, rework, and stalled initiatives.
By the end of the day, you’ll understand how data should be structured so the same numbers mean the same thing everywhere, new reports can be built without starting from scratch, and analytics and AI can be safely layered on as your organization grows without constant firefighting.
8:30 am – 3:00 pm; Format: Day workshop with structured networking;
Catering: Coffee on arrival + light lunch provided
Agenda:
Miles Garvey is a modern data strategist with cross-sector experience spanning public institutions, consulting, and high-growth private companies. With a background rooted in analytics engineering and data infrastructure, he has helped organizations evolve from fragmented reporting cultures into insight-driven, self-service ecosystems. Miles brings a holistic understanding of how data works in the real world. He speaks frequently about the evolving role of analytics teams, the future of data ownership, and how organizations can adopt AI-native infrastructure.
Most recently in the private sector, he led analytics and data platform initiatives at G2, where he built scalable data pipelines, implemented semantic layers, and AI-integrated analytics. Currently, Miles runs his own data advisory consultancy spanning larger institutions.
Steve Harris is a senior technology and GenAI consultant and implementor with 40+ years of experience across technical hands-on delivery and executive leadership. His background spans systems and architecture, project and portfolio management, and senior roles including Director, CIO, and Vice-President.
Steve holds a BSc (Hons) in Computer Studies and an MBA in Digital Technology Management and is certified and trained across major AI platforms including Microsoft, AWS, IBM, and Google. Today, he helps organisations adopt Generative AI in a practical, responsible way - covering readiness, governance, risk, architecture, implementation, training, and Fractional CAIO support to ensure solutions are usable, secure, and sustainable. He also actively researches the application of emerging AI (multi-agent systems, RAG solutions and evolving LLMs - especially the use of Small and Tiny language models) and contributes to the community as a VIATEC AI Meetup co-founder, Prompt Victoria AI Conference co-founder, and founder of a GenAI RFP Community of Practice.
Kyle Nesbit is the Founder & CEO of Credible, a platform for engineering and delivering shared meaning across enterprise data. He’s a technical founder and engineering leader focused on semantic modeling, context systems, and AI-first developer workflows.
Prior to Credible, Kyle spent 17 years at Google, where he worked on high-performance distributed systems, machine learning in ads, and AI-powered analytics. He helped build core infrastructure behind BigQuery and later worked on bringing generative AI capabilities into Looker following Google’s acquisition. He also spent time with Gradient Ventures, Google’s AI-focused venture fund, gaining perspective on what makes AI systems scalable, reliable, and investable.
At Credible, Kyle is pioneering Engineering Meaning: treating business intent, definitions, and relationships as first-class, versioned, testable assets — and delivering that meaning in context to analytics, applications, and AI systems.
Suraj Lamgaday is a Data Lead at G2, where he leads the implementation of the company’s Golden Layer data architecture. He has helped build multi-million-dollar lines of business using data, developed full-stack analytics products for institutional investors, and partnered closely with business teams to turn raw data into trusted decision systems.
Prior to G2, Suraj overhauled enterprise data architecture and semantic layers at a top ten U.S. law firm and previously worked at JPMorgan Chase, contributing to Golden Layer initiatives across Asset Management and Commercial Banking. His work centers on building scalable, business-ready data foundations that organizations can rely on.
Steve Harris is the Founder of AI4Enterprise.ca, a consulting practice dedicated to helping organizations unlock the potential of Generative AI through strategy, governance, and hands-on implementation. Based in Victoria, BC, he brings over three decades of experience in technology - spanning technical, project, and executive leadership roles. Steve combines expertise in technology with AI training and certifications from Microsoft, AWS, Google, and IBM. His current work focuses on GenAI adoption and rollouts, readiness assessments, and adoption frameworks.
An active community builder, Steve co-founded the VIATEC AI Meetup, is working with VIATEC on the upcoming VIATEC AI Conference - Prompt and frequently speaks on AI’s role in business transformation from business and technical perspectives. His goal is to enable both commercial and social-profit organizations to harness AI responsibly for efficiency, innovation, and impact (although, if you want to chat about mountain bikes or bouldering Steve can be easily distracted.)
Abin Antony is a passionate, results-driven Architect with 18 years of experience designing and delivering scalable solutions for global, multibillion-dollar organizations, with a strong focus on Data and AI initiatives. Abin specialize in turning complex data-driven challenges into practical, future-ready architectures that enable insights, automation, and innovation. With proven leadership in large-scale delivery, he excels at aligning business goals with Data and AI strategy, guiding cross-functional teams, and driving high-impact outcomes across diverse industries.
About our location:
- Deloitte Summit Building (architecture)
- Follow lobby signage to the 23rd floor
- Capacity - up to 140 people
- Location - Deloitte Summit Building at 410 West Georgia, Vancouver - great view!
- Please join us early for networking while enjoying the coffee, muffins, and croissants.
DAMA-Vancouver 2026 Events - Mark Your Calendars:
- Please send in topics/vendors/paradigms you would like to see!
- Thu Mar 26 - Full day workshop - Semantic Modeling (Premium)
- Fri Mar 27 - Benefits of Semantic Modeling + AI Lease Negotiator
- Fri Apr 24 - AI-Governance
- Fri May 22 - TBA
- Fri Jun 19 - TBA
- Fri Sep 25 - TBA
- Wed Oct 21 - DAMA Days Conference - Theme TBA (Premium)
- Fri Nov 20 - TBA
- Fri Dec 11 - Christmas Party (Premium)
