Becoming AI Ready with the Cloud in the Generative AI Era
Is cloud migration an enabler of artificial intelligence (AI) adoption and organization readiness? Is there any advantage for complex scenarios and new technology adoption? Does Microsoft Azure support generative AI implementations at scale?
This report focuses on how migrating to the cloud is a key facilitator for organizations of any size to make the most of GenAI technologies, while achieving reasonable return-on-investment (ROI). Concretely, it covers the key pieces of information that are relevant for your AI journey, from the current state of AI (specifically, generative AI) to the notion of AI readiness and the factors that impact the level of maturity of adopter companies (e.g., key scenarios where cloud migration makes a difference and industry-specific examples for regulated industries, product-oriented companies, etc.).
Some key learnings from cloud-migrated organizations:
- Cloud migration supports AI readiness.
-
Companies infuse AI with Azure AI and Copilot integrations, and leverage Responsible AI (RAI) features.
- Migrating to Azure enables all workloads, not only AI.
-
Native services and strategic partnerships with third parties facilitate innovation and maximize ROI and performance.
- The cloud is everywhere and in very different shapes.
-
Hybrid and multicloud scenarios are mainstream, but adaptive cloud approaches support those and other scenarios, such as edge computing.
- Top adopter companies scale ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access