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The California Consumer Privacy Act (CCPA), which is widely viewed the toughest privacy law in the U.S., came online this year. Fortunately, much of the technology to drive this is available to us today! What processes and safeguards need to be in place to properly handle personal data. In March, the European … They do not read nor understand lengthy privacy policies, but worry that their information is being used against them rather than on their behalf. Big data includes big privacy concerns. Data privacy concerns extend to voting and what data protection means to democracy. In even big sophisticated companies, compliance issues usually arise when those responsible for privacy compliance aren’t aware of or don’t understand the underlying technology. Realizing that anonymization may not be possible in the context of your business, the next step has to be in obtaining the consent of the data subjects. That said, often the usefulness of data is premised on being able to identify the individual that it is associated with, or at least being able to correlate different data sets that are about the same individual. As a result, no one has actually balanced the costs and benefits of this new world of data. Is big data dangerous? Interview: Dr. Bhushan Desam, Director, Global AI Business at Lenovo, AI World – Industry’s Premier Event Focused on Enterprise AI – Boston, December 11-13. Lawmakers across the world are beginning to realize that big data security needs to be a top priority. As the evolution of Big Data continues, these three Big Data concerns—Data Privacy, Data Security and Data Discrimination—will be priority items to reconcile for federal and state … This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. But these collection efforts rarely involve transparent explanations regarding data usage - and that’s a legitimate reason for consumers and privacy … This example illustrates the inherent limits to anonymization in dealing with privacy compliance. What they do is store all of that wonderful … Computer scientists may recognize a technique called a one-way hash as a way to anonymize data used to train machine learning algorithms. If an individual’s data can be anonymized, most of the privacy issues evaporate. Individuals are still largely uninformed about how much data is actually being collected about them. And the limits of the EU’s General Data Protection Regulation (GDPR), which impacts companies around the world, are being tested in European courts. 4. Privacy advocates argue that it is the scale of data collection that can potentially threaten individual privacy in new ways. If it were possible to turn the clock … Even as Big Data is used to chart flu outbreaks and improve winter weather forecasts, Big Data continues to generate important policy debates. It is a recipe for an expensive lawsuit or government investigation that could be fatal to a young startup business. For example, if a data record has the name “John Smith” associated with it, a hash operation may to convert the name “John Smith” into a numerical form which is mathematically difficult or impossible to derive the individual’s name. As last year’s $5 billion fine on Facebook demonstrates, the penalties for noncompliance with privacy laws can be severe. The FTC regards a company’s noncompliance with its own privacy policy as an unreasonable trade practice subject to investigation and possible penalty. For artificial intelligence (AI) startups, data is king. So, a comprehensive compliance program has to be an essential part of any AI/ML startup’s business plan. 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