#51 Is Data Science a Lonely Profession?

DataTopics Unplugged

A tartalmat a DataTopics biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a DataTopics vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

4M ago 1:22:22

MP3•Epizód kép

Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society.
Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data, unplugged style!
In this episode:

Slack's Data Practices: Discussing Slack's use of customer data to build models, the risks of global data leakage, and the impact of GDPR and AI regulations.
ChatGPT's Data Analysis Improvements: Discussing new features in ChatGPT that let you interrogate your data like a pro.
The Loneliness of Data Scientists: Why being a lone data wolf is tough, and how collaboration is the key to success.
Rustworkx for Graph Computation: Evaluating Rustworkx as a robust tool for graphs compared to Networkx.
Dolt - Git for Data: Comparing Dolt and DVC as tools for data version control. Check it out.
Veo by Google DeepMind: An overview of Google's Veo technology and its potential applications.
Ilya Sutskever’s Departure from OpenAI: What does Ilya Sutskever’s exit mean for OpenAI with Jakub Pachocki stepping in?
Hot Takes - No Data Engineering Roadmap? Debating the necessity of a data engineering roadmap and the prominence of SQL skills.

Fejezetek

1. #51 Is Data Science a Lonely Profession? (00:00:00)

2. Privacy Principles in Data Management (00:00:02)

3. Risk and Transparency in AI Models (00:09:11)

4. Advancements in AI Data Analysis (00:15:01)

5. Evolution of Data Analysis Roles (00:22:38)

6. Comparing Data Science With Software Engineering (00:31:03)

7. Challenges and Collaboration in Data Science (00:39:33)

8. Graph Analysis in Data Science (00:42:48)

9. Database Version Control and Python APIs (00:46:59)

10. Data Versioning Tools Comparison (00:52:36)

11. Data Engineering Roadmaps and SQL Trends (01:03:00)

12. Believe in Yourself and Enjoy Life (01:17:17)

60 epizódok

#Tech #Dataroots #Data #Tools #Artificial Intelligence #Data Engineering #Machine Learning #Pipeline