Mozart to Megadeath at CHRP

Practical AI: Machine Learning, Data Science, LLM

Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.

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Sponsors:

• Shopify – Sign up for a $1/month trial period at shopify.com/practicalai
• Eight Sleep – Up to $600 off Pod 4 Ultra — Go to eightsleep.com/changelog and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia.
• DeleteMe – DeleteMe makes it quick, easy and safe to remove your personal data online.

Featuring:

• Jeff Smith – Twitter, LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• CHRP | Website
• MyCHRP
• CHRP | Instagram
• CHRP | LinkedIn

Something missing or broken? PRs welcome!

Luvut

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Shopify (00:00:35)

https://www.shopify.com/practicalai

3. CHRP's purpose (00:02:20)

4. Initial reactions (00:10:14)

5. Approach to different settings (00:12:58)

6. Sponsor: Eight Sleep (00:16:49)

https://www.eightsleep.com/changelog

7. Your music persona (00:19:42)

8. Looking at music variation (00:23:42)

9. Forming a baseline (00:28:15)

10. Accounting for different tastes (00:29:16)

11. Keeping it human (00:30:38)

12. Sponsor: DeleteMe (00:34:13)

https://joindeleteme.com

13. Core AI technologies (00:37:05)

14. Different reactions (00:41:21)

15. Perceived value (00:46:01)

16. The next phase (00:49:48)

17. Thanks for joining us! (00:51:50)

18. Outro (00:53:07)