Roles and Skills to Support Advanced Analytics and AI Initiatives

Analyst: Zain Kahn

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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