Artificial Intelligence (AI) is maturing at a rapid pace. However, data complexity and accessibility, difficulty measuring AI success, and lack of skills of staff remain the top barriers to AI implementation. As a result, the demand for a highly skilled and diverse AI role continues to soar.
This eBook outlines how to:
Focus on acquiring and strengthening skills around data management and AI use case determination.
Explore the emerging roles, and key responsibilities, and look to acquire skills on the model monitoring, testing, explainability and ownership front.
Define key roles catered to each phase of the ML development life cycle, aligning business goals with long-term ML growth and working together as part of an AI team.
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