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Glen Cathey
Global leader in sourcing, recruiting, and HR technology
Glen Cathey is a prominent figure in the field of talent acquisition, currently serving as the Senior Vice President and Consulting Principal for Talent Advisory and Digital Strategy at Randstad Enterprise. Based in the Greater Tampa Bay Area, he has established himself as a global leader in sourcing, recruiting, and HR technology, with a strong emphasis on innovation and ethical AI.
Professional Background
With over 20 years of experience, Cathey has played a significant role in shaping sourcing and recruiting strategies for organizations that collectively hire millions of employees annually. He has expertise in implementing applicant tracking systems (ATS), customer relationship management (CRM) solutions, and advanced resume parsing technologies. His leadership experience includes managing large teams and developing talent acquisition strategies that leverage data analytics and automation.
Key Contributions and Speaking Engagements
Cathey is also a sought-after keynote speaker, having presented at numerous high-profile conferences, including LinkedIn Talent Connect and SourceCon. He is known for his engaging presentations on topics such as sourcing strategies, the psychology of recruiting, and the integration of AI in talent acquisition. His insights have been shared with major corporations like Amazon, PwC, and Intel, showcasing his influence in the industry.
Personal Philosophy and Interests
Passionate about diversity, inclusion, and belonging, Cathey actively promotes these values within the talent acquisition community. He is an advocate for continuous learning and development, both for himself and for those he mentors. His thought leadership extends to his blog, "Boolean Black Belt," where he shares knowledge and best practices in sourcing and recruiting.
Overall, Glen Cathey's contributions to the field of talent acquisition and his commitment to innovation and ethical practices make him a notable leader in the industry.
Highlights
My top 5 highlights from Slack's 10,000-worker GenAI survey:
1️⃣ 81% of AI users report productivity gains, along with higher engagement and employee experience.
2️⃣ Workers who receive AI training report up to 19x higher productivity gains.
3️⃣ Companies with established AI policies see 6x higher adoption rates.
4️⃣ And yet, only 15% of those surveyed felt they had the training to use AI effectively, and 40% of companies lack company guidelines.
5️⃣ Diversity insights: Hispanic/Latinx (43%), Black (42%), and Asian American (36%) workers embrace AI at higher rates than white colleagues (29%). Also, there's a gender gap - Gen Z men adopt AI 25% more than Gen Z women.
Given that trained employees are significantly more likely to effectively use AI and be more engaged, companies clearly need to prioritize AI training. This may also help address diversity gaps.
I'm proud to have contributed to our company's AI principles, our generative AI policy, and our online training on the safe and effective use of generative AI. I've also developed a live, experiential GenAI workshop that can be customized to any end user, and I'm currently working on a train-the-trainer program to enable others to lead practical, hands-on GenAI workshops.
If you're interested in learning more about the safe and effective use of generative AI, please ping me. 🙏
Check out the full report here: https://lnkd.in/e9xh3YNx
What's been your experience with AI meeting note-takers?
Like many, I was initially excited about the idea.
"Why spend time and effort taking notes yourself when AI can do it for you instantly and accurately?"
However, when we rely on AI-generated summaries, what are we giving up?
Taking notes while listening to others engages our brains in interesting ways, and some studies show that there are even differences between handwriting notes and typing notes (most conclude handwriting involves more information processing and has more cognitive benefits).
While a part of me loves the idea of being able to just listen to what people are saying during calls and meetings rather than taking notes, I don't feel comfortable not taking notes during calls and meetings, and reviewing AI-generated meeting notes afterward feels like it adds to my work. Also, I don't find reading someone else's notes all that helpful unless I simply wasn't there.
So far, I've been underwhelmed with AI meeting note-takers/summarizers, and I still primarily handwrite my meeting notes, although in some circumstances I type them.
Am I missing something?
What's your take on AI meeting note-takers/summarizers?
#AI #notes #work #assistants
