August 2021
Beginner to intermediate
95 pages
2h 21m
English
Content preview from Enterprise AIOps
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Chapter 6. The Road to AI Adoption
In previous chapters, we introduced the critical components organizations should integrate and coordinate across their teams to leverage AIOps and begin developing a robust enterprise AI capability.
This chapter outlines an AI Adoption Blueprint to guide the integration of those primary components into an end-to-end technical solution. Using this holistic blueprint, your organization can integrate these solutions across multiple enterprise workstreams, transitioning AI from prototypes into impactful solutions by considering the people, processes, and technologies necessary to customize and scale AI for your organization.
AI Adoption Blueprint
As you begin to adopt AI, it’s crucial to understand that no organization can succeed in a single day. Instead, anticipate a process defined by trial and error using ongoing feedback from stakeholders across your organization. This section provides an overview of the AI Adoption Blueprint and its components, establishing the foundations for this journey to promote incremental advancement toward a robust AI capability.
The most effective and sustainable approaches to operationalizing AI solutions are diligence and mindfulness for associated risks. Thanks in part to AI’s rising popularity, organizations often seek “AI magic” for their programs before taking their unique AIOps considerations into account. And while an organization can move quickly when adopting AI solutions, it’s risky to rush AI development ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.