What does it take to build a data strategy that empowers people—rather than overwhelms them?

Live from AU Nashville, BIM governance leader Kirsty Hogg unpacks how to build a useful data strategy (not a data swamp), keep feedback lightweight in ACC, and prepare your teams for AI, machine learning, and cloud-first workflows. We dig into lessons-learned capture, lakehouse fundamentals, picking low-friction tools (Ideate, File Sync), and why cultural safety (“it’s OK to learn fast”) turns skeptics into champions. Plus: what seamless interoperability should look like—and how to inch toward it today.

Kirsty Hogg is a BIM Governance Lead based in London, overseeing software strategy, standards, and workflows for a global engineering consultancy. She focuses on practical data governance, cloud-first delivery, and scalable processes that make ACC, Ideate, and automation work for real project teams. Kirsty champions “data with intention,” helping organizations capture the right signals for analytics and AI—while building a culture where learning fast beats perfection.

Start with the questions, then collect the data. Keep data feedback capture lightweight (e.g., “lessons learned” via simple ACC issues), make it interoperable, and build your data lake to serve decisions—not to hoard. Machine learning comes after you’ve curated useful, consistent signals.

Change sticks when teams are allowed to “do it wrong” once to see why the better path matters. Spread champions beyond BIM—let others carry the message so the right people hear the “what’s in it for me.” The right messenger accelerates adoption.

Choose tools with a low learning curve and broad utility to cut cognitive load and speed uptake. Automations and smart syncs free people from busywork so they can focus on value. Keep strategy horizons short, stay cloud-first, and design for interoperability as Forma and AI evolve.

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