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Listen "Improving Candidate Matching with AI AND The Human Touch with Matt Fischer, President and COO at Bullhorn"
Episode Synopsis
We speak with Matt Fischer, President and COO of Bullhorn, about AI in recruiting. We discuss the current state of AI in the industry, the expectations and challenges for clients, and the role of automation in improving data quality. Matt makes the case to understand the importance of experimentation and the need for a human touch in the recruiting process. We talk all things automation, data quality, AI matching, candidate matching, skills classification, and fraud detection.
Takeaways
AI in recruiting is currently at the peak of inflated expectations, but it is important to educate clients on how it can add value and be integrated into their workflow.
Clients have different expectations and approaches to AI, with some focusing on efficiency and productivity, while others envision a future without recruiters.
The decision of where to put the human touch in the recruiting process is crucial, and it varies based on factors such as job type, customer type, and talent type.
Bullhorn's marketplace allows for integration with various AI and automation tools, and they prioritize an open ecosystem to serve their customers.
Data quality and the willingness to experiment are key factors in leveraging AI effectively in recruiting.
Automation can help improve data quality by engaging and nurturing candidates in the database, reducing the need to go back to external sources.
AI matching is a hot topic in the corporate world, but the staffing industry has unique challenges and considerations in implementing effective matching algorithms. AI can improve candidate matching by focusing on outcomes rather than just resumes.
AI can generate personalized job descriptions and pitch letters, saving time for recruiters.
AI has the potential to detect fraud and reduce ghosting in the hiring process.
Embracing AI technology can drive innovation in the staffing industry.
Chapters
00:00 Introduction and Background
07:41 Building an Open Ecosystem: Bullhorn's Marketplace
15:55 Creating Custom Language Models for Bullhorn
30:54 Skills Classification and Taxonomy with AI
39:26 Embracing AI for Innovation in the Staffing Industry
Learn more about your ad choices. Visit megaphone.fm/adchoices
Takeaways
AI in recruiting is currently at the peak of inflated expectations, but it is important to educate clients on how it can add value and be integrated into their workflow.
Clients have different expectations and approaches to AI, with some focusing on efficiency and productivity, while others envision a future without recruiters.
The decision of where to put the human touch in the recruiting process is crucial, and it varies based on factors such as job type, customer type, and talent type.
Bullhorn's marketplace allows for integration with various AI and automation tools, and they prioritize an open ecosystem to serve their customers.
Data quality and the willingness to experiment are key factors in leveraging AI effectively in recruiting.
Automation can help improve data quality by engaging and nurturing candidates in the database, reducing the need to go back to external sources.
AI matching is a hot topic in the corporate world, but the staffing industry has unique challenges and considerations in implementing effective matching algorithms. AI can improve candidate matching by focusing on outcomes rather than just resumes.
AI can generate personalized job descriptions and pitch letters, saving time for recruiters.
AI has the potential to detect fraud and reduce ghosting in the hiring process.
Embracing AI technology can drive innovation in the staffing industry.
Chapters
00:00 Introduction and Background
07:41 Building an Open Ecosystem: Bullhorn's Marketplace
15:55 Creating Custom Language Models for Bullhorn
30:54 Skills Classification and Taxonomy with AI
39:26 Embracing AI for Innovation in the Staffing Industry
Learn more about your ad choices. Visit megaphone.fm/adchoices
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