BENGALURU, Nov 14 (Reuters) - India put new privacy rules into force on Friday that will make Meta, Google, OpenAI and other companies minimize collection of personal data and give people more control ...
Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...
The Department of Labor is initiating an investigation into how the Bureau of Labor Statistics collects and reports “closely watched economic data,” according to a letter the department’s Assistant ...
The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
WASHINGTON, June 4 (Reuters) - The U.S. Labor Department's economic statistics arm said on Wednesday it was reducing the Consumer Price Index collection sample in areas across the country due to ...
The cutbacks would have “minimal impact,” the government said, but economists warned of reduced confidence in inflation data produced by a struggling statistical system. By Ben Casselman The Bureau of ...
Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...
Google will pay $1.4 billion to Texas to settle claims the company collected users' data without permission, the state's attorney general announced Friday. Attorney General Ken Paxton described the ...
Data governance is a framework of rules, processes, and practices that ensure the effective management and utilization of an organization’s data assets. It guarantees that data is free from errors and ...
The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...