AI Starts with Trusted Data

Why AI starts with trusted data, and how unified governance turns AI ambition into results at scale.

In this session from the Big Data & Analytics Summit Canada, Julia Olmstead, Senior Customer Engineer at Collibra, makes the case that even the best AI strategy falls flat without trusted data behind it.
AI is crucial to the success of organizations around the globe, but it needs a new approach: coordinated oversight across both data and AI, so organizations can move from ambition to results at scale. Julia walks through practical steps for improving AI model effectiveness and reducing data risk, and how a unified platform keeps your data and AI governed, collaborative, and aligned with business goals.

Inside this talk:
• Cataloging and managing AI use cases
• Capturing business context and value
• Ensuring legal and compliance details are documented
• Gaining full transparency into the data driving AI models

If you work in data governance, AI strategy, compliance, or analytics leadership, this is a clear look at how to establish a foundation for success where data and AI reinforce your business goals instead of working against them.
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UPCOMING EVENTS
🔹 6th Annual Data Analytics for Public Sector

October 21 & 22, 2026 | Old Mill Toronto Hotel
🔹 7th Annual Big Data West

November 3 & 4, 2026 | Fairmont Pacific Rim, Vancouver BC
🔹 14th Annual Data Analytics for Healthcare

December 8 & 9, 2026 | Old Mill Toronto Hotel

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Видео AI Starts with Trusted Data канала Big Data & Analytics