Remove trust-and-security
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Top 7 Data Science Use Cases in Trust and Security

KDnuggets

What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

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Why Zero Trust and XDR Are the Future of Data Security

Dataversity

Zero trust is a data security model that aims to protect networks against all devices and users. The model assumes that any device and user can be compromised at any time, and therefore should not be trusted even if they were previously authenticated.

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Lenovo and Anaconda Announce Agreement to Accelerate AI Development and Deployment 

insideBIGDATA

The partnership will couple Lenovo’s trusted ThinkStation™ and ThinkPad™ workstation product portfolio heritage and leadership with Anaconda’s enterprise strengths for open-source leadership, security, and reliability. Lenovo™ announced a strategic partnership with Anaconda® Inc.,

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Cloudera and NVIDIA Collaborate to Expand Generative AI Capabilities with NVIDIA Microservices

insideBIGDATA

Cloudera, the data company for trusted enterprise AI, today announced its expanded collaboration with NVIDIA.

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Exploring the rising impact of cryptocurrency exchanges on data-driven markets

Dataconomy

The more a currency is traded on secure, reputable platforms, the more it’s desired, influencing its market price. On the flip side, a platform’s reputation takes a nosedive if it’s hit with security breaches, causing ripples of distrust among investors. Well, think of it like a popularity contest with numbers.

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Create Smart Contract Using Solidity Programming

Analytics Vidhya

Introduction Blockchain is a decentralized, distributed public ledger that lets us collaborate and coordinate the members that do not trust each other to make a secure transaction. This article was published as a part of the Data Science Blogathon.

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Surveilling Alone

Hacker News

Home security cameras are booming in an era of rising crime and declining trust. But they’re driving neighbors further apart.

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