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2. Gig worker - Wikipedia

   en.wikipedia.org/wiki/Gig_worker

   Gig work is spreading around the side job and delivery business. Kakao has hired drivers to build a system for proxy driving, and the people of delivery are meeting the surging demand for delivery through a near-field delivery called "Vamin Connect". There is a gig work platform for professional freelancers, not just work.

3. Freelancer.com - Wikipedia

   en.wikipedia.org/wiki/Freelancer.com

   Freelancer has acquired several crowdsourcing marketplaces including Get A Freelancer.com and EUFreelance.com (founded by Magnus Tibell in 2004, Sweden), [4] Scriptlance.com (founded by Rene Trescases in 2001, Canada) [5] - one of the early pioneers in freelancing, Freelancer.de Booking Center (Germany), Freelancer.co.uk (United Kingdom), [6] Webmaster-talk.com (USA), a forum for webmasters ...

4. AOL - Finance News & Latest Business Headlines - AOL.com

   www.aol.com/careers

   Certain types of workers find themselves particularly in demand amid robust hiring across the U.S., new analysis finds. CBS News 4 months ago Saving for retirement a challenge for the "sandwich ...

5. Fiverr - Wikipedia

   en.wikipedia.org/wiki/Fiverr

   Fiverr is an Israeli multinational online marketplace for freelance services. [2] Fiverr's connects freelancers to people or businesses looking for services. Fiverr takes its name from the $5 asking price attached to all tasks when the company was founded, though many sellers now charge more.

6. Data broker - Wikipedia

   en.wikipedia.org/wiki/Data_broker

   Data brokers in the United States include Acxiom, Experian, Epsilon, CoreLogic, Datalogix, Intelius, PeekYou, Exactis, and Recorded Future. [21] [22] In 2012, Acxiom claimed to have files on about 500 million active consumers worldwide, with about 1,500 data points per person [23] and, in 2023, Acxiom (renamed LiveRamp) claims to have files on 2.5 billion people and over 3,000 data points per ...

7. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]