Meta faces dual celebrity AI crises: unauthorized bots impersonating Swift and others while licensed celebrity voices engaged inappropriately with minors. Both expose how engagement incentives override safety guardrails.
Despite massive AI hype, 95% of enterprise projects deliver no real returns. The gap between promises and reality reveals hidden costs, workflow mismatches, and why human oversight remains surprisingly essential.
Meta's $14B AI talent blitz hits turbulence as ChatGPT co-creator Shengjia Zhao threatened to quit days after joining. The company hastily named him Chief Scientist to prevent defection, but at least three other marquee hires have already left.
Category: Fundamentals
Category: Fundamentals
Data mining extracts useful patterns, trends, and insights from large datasets using statistical and machine learning techniques.
Automated tools sift through massive amounts of data to find relationships humans might miss. They might discover that customers who buy bread also buy milk, or that certain symptoms predict specific diseases.
The process combines statistics, machine learning, and domain expertise to turn raw data into actionable insights.
Data mining powers business intelligence, scientific research, and decision-making across industries. It helps companies understand customers, researchers find new treatments, and governments improve services.
Most AI applications start with data mining to understand what patterns exist in the data.
Get the 5-minute Silicon Valley AI briefing, every weekday morning — free.
