Artwork

เนื้อหาจัดทำโดย Avery Smith - Data Career Coach เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Avery Smith - Data Career Coach หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Player FM - แอป Podcast
ออฟไลน์ด้วยแอป Player FM !

179: How I Use PRIVATE Data ETHICALLY In the New Era of AI

7:57
 
แบ่งปัน
 

Manage episode 509504218 series 3610716
เนื้อหาจัดทำโดย Avery Smith - Data Career Coach เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Avery Smith - Data Career Coach หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's a third option, and that's what I will share with you in this episode!

Check out Tonic Textual here:

👉 https://www.tonic.ai/products/textual

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS

00:00 - Introduction: The Ethical Dilemma in AI Development

01:21 - The "A Very Smith Health Solutions" LEAKED Zoom debate!

02:45 - Sensitive Data Discovery and Synthesis

03:41 - Redacting and Synthesizing Data with Tonic Textual

04:30 - Applications and Benefits

🔗 CONNECT WITH AVERY

🎥 YouTube Channel: https://www.youtube.com/@averysmith

🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://instagram.com/datacareerjumpstart

🎵 TikTok: https://www.tiktok.com/@verydata

💻 Website: https://www.datacareerjumpstart.com/

Mentioned in this episode:

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly

If you enjoy this podcast, you're going to LOVE my newsletter. Every week, I send you 1 email jam-packed with tips, tricks, and resources. Don't miss it!

💌 Subscribe To My Newsletter

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

💙 Thank you for subscribing & leaving a review

Thanks to YOU we recently became the most popular data podcast out there. Thank you so much for listening. If you haven't subscribed yet, hit subscribe. It costs $0. If you enjoy the show, leave us a 5-star rating on Spotify or Apple. It helps people like you find the show AND it helps us land better guests. Thank you so much for your support.

  continue reading

181 ตอน

Artwork
iconแบ่งปัน
 
Manage episode 509504218 series 3610716
เนื้อหาจัดทำโดย Avery Smith - Data Career Coach เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Avery Smith - Data Career Coach หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's a third option, and that's what I will share with you in this episode!

Check out Tonic Textual here:

👉 https://www.tonic.ai/products/textual

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS

00:00 - Introduction: The Ethical Dilemma in AI Development

01:21 - The "A Very Smith Health Solutions" LEAKED Zoom debate!

02:45 - Sensitive Data Discovery and Synthesis

03:41 - Redacting and Synthesizing Data with Tonic Textual

04:30 - Applications and Benefits

🔗 CONNECT WITH AVERY

🎥 YouTube Channel: https://www.youtube.com/@averysmith

🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://instagram.com/datacareerjumpstart

🎵 TikTok: https://www.tiktok.com/@verydata

💻 Website: https://www.datacareerjumpstart.com/

Mentioned in this episode:

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly

If you enjoy this podcast, you're going to LOVE my newsletter. Every week, I send you 1 email jam-packed with tips, tricks, and resources. Don't miss it!

💌 Subscribe To My Newsletter

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

💙 Thank you for subscribing & leaving a review

Thanks to YOU we recently became the most popular data podcast out there. Thank you so much for listening. If you haven't subscribed yet, hit subscribe. It costs $0. If you enjoy the show, leave us a 5-star rating on Spotify or Apple. It helps people like you find the show AND it helps us land better guests. Thank you so much for your support.

  continue reading

181 ตอน

ทุกตอน

×
 
Loading …

ขอต้อนรับสู่ Player FM!

Player FM กำลังหาเว็บ

 

คู่มืออ้างอิงด่วน

ฟังรายการนี้ในขณะที่คุณสำรวจ
เล่น