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Bring-Your-Own-Device Programs: A Balance Between Privacy and Cybersecurity

Data Protection Report

1] While the BYOD approach may offer certain advantages, such as greater flexibility and cost savings, employers should be mindful of the cybersecurity and privacy risks when leaving employees to their own devices. In this article, we explore some of these risks along with best practices employers can implement to mitigate these concerns.

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On Chinese "Spy Trains"

Schneier on Security

Congress is considering legislation that would prevent the world's largest train maker, the Chinese-owned CRRC Corporation, from competing on new contracts in the United States. China dominates the subway car manufacturing industry because of its low pricesĀ­ -- the same reason it dominates the 5G hardware industry. Our enemies do it.

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Recovering Smartphone Voice from the Accelerometer

Schneier on Security

Yet another smartphone side-channel attack: “ EarSpy: Spying Caller Speech and Identity through Tiny Vibrations of Smartphone Ear Speakers “: Abstract: Eavesdropping from the user’s smartphone is a well-known threat to the user’s safety and privacy. In this work, we revisit this important line of reach.

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AI governance: What it is, why you need it, and why itā€™s essential for your AI initiatives

Collibra

For starters, just imagine the repeated cost of training an LLM on a data set that contains poor quality, inconsistent, inaccurate or incomplete data. The truth is data is the backbone of AI, and if the data is bad, the AI models trained on it will produce human-sounding language that looks good but is fundamentally flawed.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training. We’re all amazed by what AI can do.

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How to Prepare for the Metaverse

AIIM

Manufacturers are already undertaking 3D-based training for their workforce, and some are beginning to configure their digital twins for their manufacturing facilities or moving, with the proliferation of low-power, low-latency connected devices, to a full recreation of physical locations where operators can prevent, act, or react based on data.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations. And institutional innovation can play a role to help.