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The Future of Generative AI Is the Edge

Unite.AI

While GPUs run most Gen AI models in the cloud – both for training and inference – this is not a long-term scalable solution, especially for inference, owing to factors that include cost, power, latency, privacy, and security. smartphones, desktops, laptops) or in data centers. patient evaluation, drug recommendations).

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Web Summit 2023 Highlights: AI Regulation and Data Privacy Take Center Stage

Flipboard

The Web Summit, Europe’s premier tech conference, wrapped up a three-day event with a resounding focus on the AI frenzy that has gripped the …

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New Frontiers in Generative AI — Far From the Cloud

Unite.AI

And then for reasons of latency, privacy, and cost-efficiency, the internet moved to the network edge, giving rise to the “internet of things.” But the same motivations — latency, privacy, cost efficiency — have driven companies like Hailo to develop technologies that enable AI on the edge.

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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Journey to AI blog

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

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How Jamworks protects confidentiality while integrating AI advantages

IBM Journey to AI blog

However, as AI services find a home in cloud platforms, the issue of data confidentiality takes center stage. Robust encryption, granular access controls and privacy-preserving techniques become imperative to counter the risks of unauthorized data access and use.

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Zoom Uses Customer Data for AI Training; Faces Legal Quandary

Analytics Vidhya

The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent. In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models.

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Building Trustworthy Systems in Compliance with Data Privacy Standards

Aiiot Talk

Data privacy has grown to be a major concern for both individuals and companies in the current digital environment.The amount of personal data being collected and processed is increasing. Therefore, it is essential to establish reliable systems that protect individual privacy while also providing valuable data and analysis.