Big tech has gone mad in the AI race. They will bend all law and regulations to win. A few billion dollars worth of fines won’t stop these giants. Whether AI will benefit us or not is a different story.
Data protection is crucial for business continuity. Regular backups are essential for safeguarding your information. What’s your routine?
How often do you backup your data?
Trying to understand your customer data is very important for your business. It actually sends you signs “what you should work on for improvements” and “what’s lacking in our business that needs significant improvemnt”
Understand your data like a sto
See More
6 replies7 likes
Vasvi Seth
Stealth • 6m
Delving into Communication Protocols: The Pillars of Network Transmission
Communication protocols are fundamental to the exchange of information across networks. They govern how data is transmitted between devices, ensuring that communication is eff
See More
0 replies6 likes
User
•
NVIDIA • 4m
[This post has been deleted by the creator]
5 replies5 likes
TheLuhas
Stealth • 5m
Me covering these things by alone being a Entrepreneur and my bord are comming
$ Cybersecurity
$AI
$ML
$No code
$Data science
$Computer science
$LLm's
$ Coding Languages
$Finance for startup
And hell many
0 replies3 likes
SamCtrlPlusAltMan
•
OpenAI • 8m
OpenAI launches ChatGPT Edu for universities 🔥
- New AI model GPT-4o with higher limits than free ChatGPT
- Universities can customize with their own data
- Addresses academic integrity concerns
- Allows using AI for teaching & research
#ChatGP
See More
1 replies11 likes
Vikas Acharya
•
Medial • 3m
What’s one challenge you’re avoiding that, if faced, could lead to personal growth?
0 replies4 likes
Adhithya Pinghley
Stealth • 10m
What do you think about building a blockchain from scratch to be used for data analytics with transperency. And also with integrity. I don't want crypto or nft or anything. Just for data security and transperency. Is this worthy to consider building?
Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely.
Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien