At CDAO  Melbourne, a packed room gathered to explore a critical question:

Is Data Governance obsolete or more essential than ever?

In our keynote presentation, this topic was addressed head-on, with a focus on why Data Governance must be reimagined in the age of AI. As AI continues to transform industries, the role of data governance becomes even more pivotal, and this session delved into the reasons why, providing insights and strategies for modernizing governance to meet the demands of today’s data-driven world.

Key takeaways from the session:

💡 AI is only as good as the data it’s trained on. The saying ‘Garbage In, Garbage Out’ still holds true. Without solid data governance, AI projects are doomed to fail before they even begin.

💡 Data Governance is in an identity crisis. Too often, it’s seen as a roadblock rather than an enabler. It’s time to shift this mindset and embrace modern approaches that decentralize data ownership and automate governance.

💡 There is a need for a unified AI & Data Governance Framework! There is a strong case for a single framework that governs both AI and data throughout its lifecycle.

💡 Introducing the AI & Data Enablement Manager. It’s time to move beyond ‘governance’ and focus on enablement. This role bridges the gap between AI and data governance, empowering businesses to leverage data and AI effectively.

Data Governance is not obsolete, but rather more critical than ever; however, it does need to evolve. For access to the full keynote, click the link below.

Reimagining Data Governance in the Age of AI – Keynote 02092024

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