Isn’t it fascinating how our brain processes the vast amounts of information that we receive throughout the day? Our sensory organs convert information into stimuli… Read More »A Practical Guide to Using Computer Vision for Business Growth
Identity theft is the process of stealing personally identifiable information (PII) to either defraud the victim or make the victim a scapegoat in a large-scale… Read More »5 Tips To Protect Yourself from Identity Theft in 2023
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The California Privacy Rights Act (CPRA) of 2020, also known as Proposition 24, was approved by California voters on November 3, 2020. Even though the… Read More »Why Should You Care About CPRA’s ‘Do Not Sell’?
Ever since the European Union passed the General Data Protection Regulation (GDPR) in 2016, businesses have had to overhaul the way they collect, process, store,… Read More »How to Build A Data Inventory At Your Organization
Cybercriminals across the globe attack vulnerable systems daily. But who are these people, and what motivates them to perform these illegal acts? Some might even… Read More »Cybercriminals Exposed: 5 Kinds and How They Operate
Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
Today, data has evolved into one of the most crucial resources in the world. Unlike tangible resources like wood and fuel, the same data set can be used repeatedly and for different applications. Tons of user information gets observed or generated by tech and algorithms to facilitate the personalization we see today.
The CCPA entitles consumers to know what personal information is being collected and how it is further shared to be used by third parties. Moreover, it is well within the consumers’ rights to stop any business from sharing their data and remove it completely.
Organizations must opt for a more centralized approach to automate their privacy functions to reduce risk and build transparency and trust with their consumers.
