Drama is inevitable - be prepared for it

Solve china dataset issues with shared expertise and innovation.
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rakhirhif8963
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Joined: Mon Dec 23, 2024 3:13 am

Drama is inevitable - be prepared for it

Post by rakhirhif8963 »

The point is that drama can be good or bad. When it’s good, it can help you focus on your business and IT goals to stay ahead of the competition and even cope with unpredictable changes. If you rush ahead without understanding your institution’s unique needs, you may end up among the losers who fail to achieve digital transformation. So do your homework, ask questions, and set yourself up for digital transformation success.

How China's PIPL Differs from Europe's GDPR
06.09.2022
On November 1, the privacy jungle will become even more impenetrable, when China’s Personal Information Protection Law (PIPL) went into effect. TechBeacon compares PIPL to the EU’s General Data Protection Regulation (GDPR), which went into effect on May 25, 2018, and highlights four key differences.

Both laws are broad data protection ghana mobile database with significant potential fines and “long-arm jurisdiction.” Like the GDPR, the PIPL extends its applicability globally based on both the geography of the data processing and the geography of the person whose data is being processed. In any given case, the PIPL can be applied if either of these points is within China’s borders — regardless of the location of the data offender.

However, these laws are not exactly the same, and their differences go beyond minor technicalities. Below are four of the most notable differences.

1. PIPL redefines “confidential information”
Not all personal information is created equal, and privacy laws generally recognize this fact. Typically, “sensitive personal information” (SPI) has a higher level of specific legal protection.

The GDPR does not use the term SPI itself, but it does clearly identify and describe the categories of personal data that are subject to higher standards of processing. Article 9 of the law sets out the limited circumstances in which data falling into any of the following categories may be processed:

race/ethnicity;
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