The AI & Data Exchange conference in Vienna highlighted strategic approaches to AI talent management, emphasizing the need for a dynamic framework. Organizations face decisions about building, buying, or partnering for AI talent, with retention being a major concern. Successful strategies involve using hybrid models, aligning HR and IT, and addressing generational dynamics. Recommendations for service providers include knowledge transfer programs, technical career paths, and tailored skill development. The evolving AI landscape demands continuous reassessment of talent strategies.
Executive Snapshot
In This Market Note
IDC's Point of View
Current Market Conditions
Strategic Positioning of AI Talent
The Build-Buy-Partner Framework
The Hidden Crisis of Talent Retention
A Strategic Disconnect between IT and Human Resources (HR)
Generational Dynamics in AI Talent Development
Motivation Factors Beyond Compensation
Time-to-Market Pressures and Talent Strategy
Knowledge Transfer in Partner Relationships
An AI Talent Strategy Requires a Dynamic Framework
Recommendations for Service Providers and AI Vendors
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Related Research
Synopsis
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