Tech Buzz

Workers are leveraging AI tools to enhance individual productivity while keeping their usage under wraps. However, this covert approach may hinder overall organizational performance, warns a Wharton professor. Encouraging transparency and implementing AI-friendly policies can help organizations harn...

Vision Pro could redefine tech interfaces with its advanced design and features. Challenges may arise, but if Apple improves its approaches to market strategies and partnerships, it has the potential for significant success.

The Apple Vision Pro headset, priced at $3,499, won't be available until next year but promises to usher in a new era of "spatial computing."

A new report has shed light on the risk of AI disruption, revealing that many jobs typically held by women are particularly vulnerable to automation advancements.

In the rapidly evolving world of AI, whom should we trust to govern its use? Microsoft presents intriguing answers in its "Governing AI: A Blueprint for the Future" report. Let's explore how they seek to balance this technology's potential with its risks.

Since OpenAI introduced ChatGPT, privacy advocates have warned consumers about the potential threat to privacy posed by generative AI apps. The arrival of a ChatGPT app in the Apple App Store has ignited a fresh round of caution.

A seismic shift in the PC industry looms as giants like AMD, Intel, and Qualcomm make strides to revolutionize the way machines operate, keeping pace with the rising generative AI trend. Amid this epic CPU confrontation, Nvidia emerges as a wildcard that could redefine the market landscape.

There is a decent chance that banks using mainframes prioritize low risk, while banks that do not may be more willing to take unreasonable risks. With people currently concerned about where to put their money safely, one of the questions you should ask is, "Do you use a mainframe for your mission-cr...

This week, let's focus on three things we should begin discussing that represent some of the bigger risks of generative AI before substantial damage is done. The three issues are data center loading, security, and relationship damage.

Are AI data center buildouts happening too fast?
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