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Building a Foundation for AI Success: A Leader's Guide
The question facing nearly every business leader is how can AI-driven innovations drive their organization forward? If this describes your situation, download this exclusive eBook showing the path to a successful transformation with generative AI that promotes trust among employees, customers, partners and other stakeholders.
Please enter your information below to access this content:
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 clear operating model and leadership support; 5) AI Governance - processes and accountability structures for responsible AI use.
How can organizations measure AI value?
Organizations can measure AI value by defining and prioritizing business objectives, identifying relevant AI use cases, and implementing metrics that assess productivity, revenue, and other key performance indicators. According to the Gartner 2022 AI Use-Case ROI Survey, barriers to implementation often include difficulties in measuring value and a lack of understanding of AI benefits.
What role does leadership play in AI success?
Leadership support is crucial for AI success. Organizations that derive the most value from AI typically have leaders who recognize and actively support AI opportunities. This can manifest as top-down initiatives or grassroots efforts, but fostering an atmosphere that encourages experimentation and learning from failure is essential for navigating the rapid pace of technological change.
Building a Foundation for AI Success: A Leader's Guide
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