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Generative AI (GenAI) is suddenly on everyone's radar, but some organizations already have extensive experience and success in deploying AI techniques across multiple business units and processes. Gartner research shows these mature AI organizations represent just 10% of those currently experimenting with AI, but would-be GenAI adopters can learn a lot from them.
4 Pillars of Generative AI Strategy
vision
value
adoption
risks
Data Strategy
In practice, a data strategy is a structured plan that outlines how an organization will collect, manage, analyze, and leverage data to achieve its objectives. In a data strategy, one would expect to find processes, technologies, policies, ethics, and governance frameworks aimed at maximizing the value of data assets while ensuring data security and quality. Developing and implementing a data strategy often requires change management, and is typically a process that takes time to create meaningful results. In this guide, we will focus on how an organization begins this process, who is involved, and how to engage stakeholders.
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