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Savvy CDAOs will jump at the chance to use AI to deliver business value but must hone strategy and governance, as well., whereby I agree to provide Gartner with my personal information, and understand that information will be transferred outside of mainland China and processed by Gartner group companies and other legitimate processing parties and to be contacted by Gartner group companies via internet, mobile/telephone and email, for the purposes of sales, marketing and research.
Align and map AI initiatives to the strategic business priorities of the organization; include metrics and KPIs for determining impact. The sudden surge in interest around GenAI requires a specific strategic focus. Since this form of AI has widespread consumer application with a low barrier to adoption, teams can easily use it without organizational knowledge or oversight.
To enable that perspective, provide additional details on GenAI initiatives separate from traditional AI that include:Identifying and prioritizing high-value GenAI use cases based on competitive impact, business value, urgency, cost and risk CDAOs need to be in the mix and have a voice in the AI conversation. You may not want to or need to own AI, but you need to be part of the organization’s AI leadership coalition. Your participation is essential, given that you are already responsible for many of the key enablers of AI — including the fundamental need for AI-ready data, data governance, and data and analytics skills and upskilling.
Evolve Technology And Process Capabilities To Supp Chief Data Analytics Officer Guide Insight Pillar
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