All of sudden lawyers are busy and got lot of work to do on this new thing called as GDPR. Because 90% of the world’s data was created in the last two years. Will GDPR also going to impact historical data. Does GDPR require Machine Learning algorithms to explain their output? may be yes may be no or in short probably not, but there is enough ambiguity to be clarified and keep DataScientists, Lawyers, industry influencers busy.
GDPR will affect you if you are processing any sort of data of people in the EU no matter where your organisation is located. Companies involved in Data Science needs to constantly strive to provide a seamless, integrated experience to help consumers to continue working smarter and without hesitations.
The GDPR is a regulation that is not bound to any country in the European Union specifically (Its a global requirement). It does limit it self to any particular technology or type of business even.
It applies to all countries within the EU as well as to all companies providing services to and interacting with EU citizens and businesses. In short: the GDPR applies to a majority of all the enterprises there are on this planet.
Looking for a quick summary of this new regulation called GDPR? Read on:
Consent : Companies should not use indecipherable terms and conditions
Breach Notification : In case of data breach, data controllers and customers should be notified the potential risk within 72 hours
Right to access : Data subjects should be notified before their data is used for processing
Right to be forgotten : When data is no more relevant, data subjects can request data controllers to erase the data to avoid dissemination of the information
Data Portability : Individuals should be allowed to reuse their personal data for personal use across various IT environments
Privacy by Design : Calls for data protection from the onset of system design, through implementation of technical and infrastructural measures
Data Protection Officers : Personally trained officers should be appointed in public authorities or organizations with an employee base of more than 250 employees that are involved in systematic processing of personal sensitive data
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