If you’re a Microsoft managed customer, you likely have access to most of the Artificial Intelligence solutions below, so you may be interested in what we have to offer in terms of understanding how to develop & all-encompassing AI strategy.
The full documentation is available in the link below, but here is an except:
AI Strategy – Recommendations for organizations developing an AI adoption strategy – Cloud Adoption Framework | Microsoft Learn
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Define an AI technology strategy
An AI technology strategy involves selecting the right tools and platforms for your generative and nongenerative AI use cases. You need to pick AI solutions that align with your skill set, data readiness, and budget. Microsoft has a variety of AI solutions to align with different needs. There are software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) options. The service model you choose affects the AI shared responsibility between you and Microsoft.
Use the following AI decision tree to narrow down options for each AI use case. Review all the options before making your initial decision. When you identify an AI service, confirm that the service is a good fit. Use the following guidance to validate the skills needed, data needed, and cost factors to ensure success.
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