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The Importance of Transparency in Document Processing Automation 

Astera

The GDPR also includes requirements for data minimization, data accuracy, and data security, which can be particularly applicable to the use of AI-based document processing. There are also several industry-specific regulations that may apply to the use of AI-based document processing.

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Has cyber security become a priority for all companies?

GAVS Technology

Infact, cyber security is applicable to every business operation, be it military, corporation or an enterprise. Self-destructive data transfer process. Tools like Privnote are commonly being used these days to transfer data securely online with self-destructive mode. Cyber security in shipping industry.

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Fortifying Enterprise Digital Security Against Hackers Weaponizing AI

Smart Data Collective

The biggest threat to digital security is weaponized artificial intelligence (AI) , which is ubiquitous and damaging. The profitability of hacking into data systems in the black market has propelled this threat, causing security experts to lag. In a sense, this is similar to adrenal exhaustion in humans.

Digital 235
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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. He has hit 3000 blog posts for the AWS blog in 2018. Follow Vanessa Alvarez on Twitter , LinkedIn , and Blog/Website.

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New Microsoft Azure Certifications Path in 2021 [Updated]

Whizlabs

It has been over 3 years when Microsoft announced and released a few major changes in the existing Azure certification path, in 2018 at Ignite Conference. Along with the arrival of the new Azure certifications , the news contains the retirement of some of the existing Microsoft Azure exams at the end of 2018. Prerequisites.

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Data ethics: what would you sacrifice for the common good – civilisation or civil liberties?

Clarasys

The key is through the ethical collection and use of data where necessary, safeguarded by robust data privacy rules and overseen by dedicated governing bodies to ensure data security and prevent misuse. Data ethics – data collection vs utility – it’s a balancing act .