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Building a Foundation for AI Success: A Leader's Guide
Given the pace of AI innovation, the most frequent questions you might have about a generative AI solution is, where do we go from here? How do we create the most impact and what does success look like? Find out in this thought-provoking eBook that features the five pillars of AI success that growing enterprises rely on to thrive and flourish.
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The five pillars of AI success are: 1) Business Strategy - clearly defined objectives and measurement of AI value; 2) Technology Strategy - an AI-ready application and data platform architecture; 3) AI Strategy and Experience - a systematic, customer-centric approach to AI; 4) Organization and Culture - a supportive operating model and leadership; 5) AI Governance - processes for data privacy, security, and responsible AI use.
How can organizations measure AI value?
Organizations can measure AI value by defining and prioritizing business objectives, identifying specific AI use cases that align with these goals, and establishing metrics for success. According to a Gartner survey, 19% of organizations struggle with measuring AI value, highlighting the importance of a clear measurement strategy.
What role does organizational culture play in AI success?
Organizational culture and leadership support are critical for AI success. Effective AI initiatives often stem from a culture that encourages experimentation and learning from failure. Leaders must actively support AI opportunities with resources and create an inclusive operating model that allows for broad adoption across business units.
Building a Foundation for AI Success: A Leader's Guide
published by NEBA Computersysteme Vertriebs GmbH
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