AI in Candidate Selection with Daniel Friker
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About this episode
For this episode I’m joined by executive business, finance, and human resource leader, Daniel Friker, who discusses his thoughts and experiences in Artificial Intelligence within the HR industry, and in particular for candidate selection.
Having traveled the world helping Fortune 100 business find talent, Daniel has cultivated numerous executive-level client relationships through successful collaboration with operations, recruiting, and finance, including working with global Fortune 500 companies and a variety of small-to-medium businesses worldwide.
Daniel has amassed expertise in the technical design, implementation, and execution of talent acquisition and fulfillment solutions within a variety of industry-specific platforms that align with hiring manager needs, while mitigating cost, improving profitability, and speed to market.
Key takeaways:
- People are often poor at selecting candidates
- Networking remains crucial in the hiring process
- AI can assist in crafting better job descriptions
- AI can significantly improve candidate selection and reduce bias
- The future of hiring will be more efficient and data-driven
You can see more from Daniel here:
- LinkedIn: Daniel Friker
Get every episode summarized
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