Data Dan
AI or KO: Is HR ever going to use intelligent technology?
#1about 3 minutes
The case for active AI training in HR
Passively watching others use AI is ineffective; HR professionals must actively engage with the technology to build real competence and drive transformation.
#2about 2 minutes
Understand the core ingredients for successful AI
Effective AI implementation requires mastering its core components: data quality for accuracy, process clarity for efficiency, and business context for value.
#3about 2 minutes
Test AI on real and impactful HR challenges
Apply AI to solve genuine employee pain points within core processes, rather than testing it on isolated or low-impact side projects.
#4about 3 minutes
Build AI competence through coaching and community
Accelerate AI adoption by learning from diverse experts and fostering an internal 'train the trainer' community to scale knowledge effectively.
#5about 3 minutes
Embrace failure and manage stakeholder expectations
Expect and thoroughly document failures in AI projects to create a shared knowledge base and manage leadership expectations about AI's capabilities and biases.
#6about 2 minutes
Prioritize taking action over perfect strategy
The most critical step is to begin applying AI and leading by example, as practical action is more valuable than waiting for a flawless plan.
#7about 5 minutes
Use custom GPTs for personal AI development
HR professionals can build custom GPTs to translate technical jargon, generate personalized learning paths, and brainstorm relevant AI use cases for their context.
#8about 1 minute
Your call to action to become an AI front runner
Commit to active learning and application over the next year to move from a passive observer to a knowledgeable leader in the HR AI space.
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