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2. Mark Zuckerberg touts potential of remote work in metaverse ...

   www.aol.com/finance/mark-zuckerberg-touts...

   Meta recently threatened to fire employees who did not obey to its strict return-to-office mandate. But CEO Mark Zuckerberg is still enthusiastic about the potential of remote work—just not with ...

3. The list of major companies requiring employees to return to ...

   www.aol.com/list-major-companies-requiring...

   Meta updated its remote work policies in September 2023, requiring employees to head into the office three days a week. It had also stopped offering remote work in new job listings.

4. Meta’s return to office is a ‘mess’ even as the company ...

   www.aol.com/finance/meta-return-office-mess-even...

   Meta, which championed remote work a few years ago, last month threatened employees with termination if they didn’t comply with a return-to-office mandate requiring their presence three days a week.

5. Remote work - Wikipedia

   en.wikipedia.org/wiki/Remote_work

   Remote work (also called telecommuting, telework, work from home —or WFH as an initialism, hybrid work, and other terms) is the practice of working from one's home or another space rather than from an office.

6. Meta Platforms - Wikipedia

   en.wikipedia.org/wiki/Meta_Platforms

   Meta Platforms, Inc., [10] doing business as Meta, [11] and formerly named Facebook, Inc., and TheFacebook, Inc., [12][13] is an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates Facebook, Instagram, Threads, and WhatsApp, among other products and services. [14] Meta ranks among the largest American information technology companies ...

7. Data classification (data management) - Wikipedia

   en.wikipedia.org/wiki/Data_classification_(data...

   Data classification (data management) Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned class labels that describe a set of attributes for the corresponding data sets. The goal is to provide meaningful class attributes to former less ...