A set of techniques used to analyze current systems and assess the degree of support provided to the set of business activities being reengineered. Data, procedures, and problems can be analyzed. Assessments of user and technical satisfaction can also be performed.
Are you utilizing any specific checklists or protocols within your projects or company to assess your readiness for working with Generative AI data? I'm curious to know what strategies or tools you've ...
Hi PMI Community! I’m Sarah Philbrick, and I work as a Product Manager at PMI with a focus on our learning offerings. As we go on this skill-building journey together, I’m excited to engag ...
Validating and checking outputs is critical when working with AI systems like Generative AI. Such validation approaches may include establishing clear criteria, implementing strong testing protocols, ...
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What signals help you tell different kinds of AI work apart—and what tends to go wrong when everything gets lumped together?Have you ever been in a conversation where “AI” meant different things to di ...
Data quality and quantity is particularly important as we think about leveraging AI on projects. Considerations include the diversity and comprehensiveness of the data that is available to us.
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The existing hardware and systems software configuration may be inadequate to support the projected processing requirements of the system about to be built. This configuration includes central proces...
When estimating costs, separate capital costs from normal operational costs. While management will want to know the total cost of the project, they will probably focus on large capital outlays more t...