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Data privacy examples

IBM Big Data Hub

Far-reaching regulations like Europe’s GDPR levy steep fines on organizations that fail to safeguard sensitive information. The General Data Protection Regulation (GDRP) The GDPR is a European Union privacy regulation that governs how organizations in and outside of Europe handle the personal data of EU residents.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

However, challenges persist if your organization doesn’t take proper precautions in supporting a remote workforce — from human resources to productivity and IT security – especially when regulations such as the European Union’s General Data Protection Regulation (GDPR) are involved. Click here to learn more and register.

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4 ways AI and Blockchain Transform Information Governance

Everteam

In this session, we explored AI and Blockchain’s impact on core information governance processes and records management practices. Below are 4 key takeaways from the conversation: EC M is moving toward federated information governance. AI and Blockchain extend the reach of Information Governance. They’re the dark ages.”

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Guest Post -- New Global Data  and Privacy Regulations in 2018 and the GDPR

AIIM

In December of 2015 an agreement was reached, leading to the adoption of General Data Protection Regulation (GDPR) in April 2016. First, it should be noted that GDPR does not apply only to companies located within the EU. Organizations that fail to comply with GDPR risk potentially massive penalties. But more on them later.

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Best Facial Recognition Software for Enterprises In 2022

eSecurity Planet

Facial recognition software (FRS) is a biometric tool that uses artificial intelligence (AI) and machine learning (ML) to scan human facial features to produce a code. Amazon Rekognition has been well regarded by government agencies and other secure users. Benefits and Uses of Facial Recognition. Amazon Rekognition.

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Data integrity vs. data quality: Is there a difference?

IBM Big Data Hub

Data integrity To achieve a high level of data integrity, an organization implements processes, rules and standards that govern how data is collected, stored, accessed, edited and used. Together, these factors determine the reliability of the organization’s data. Are there missing data elements or blank fields?

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Kelly Twigger of ESI Attorneys: eDiscovery Trends 2018

eDiscovery Daily

The show had less focus on eDiscovery this year – and I attribute that to three things: the consolidation of service providers in the space, the perceived maturity of the eDiscovery market (it’s not), and the development of new areas of risk in legal that are sexy – artificial intelligence, blockchain, etc.