Remove tag data-controller
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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Keeping Up with New Data Protection Regulations

erwin

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of. A number of high-profile data breaches and scandals have increased public awareness of the issue.

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Everteam.iFile | Connect, Extract, Process, Manage and Analyze all your Stored Information

Everteam

The rising value of data today requires a great effort to be managed and kept. A greater effort is required to grant a safe, smart and secure way to share and use this data, especially when it comes to key business processes and workflows that allow organizations and governments to communicate.

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The most valuable AI use cases for business

IBM Big Data Hub

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions.

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Ransomware Protection in 2021

eSecurity Planet

Without a comprehensive network segmentation or microsegmentation policy, malicious actors can also move laterally within your organization’s network, infect endpoints and servers, and demand a ransom for access to your data. Attackers will inform the victim that their data is encrypted. Screenshot example. Zero Trust.

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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

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