Remove Sovereignty
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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IDC Middle East CIO Summit 2024: How CIOs Are Embracing the AI Era

CIO

Recent breakthroughs in generative AI (GenAI) are reshaping the technological landscape at an unprecedented rate, and IDC forecasts that annual worldwide spending on AI-centric systems will exceed 300 billion USD by 2026. Generative AI

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“Cloud adoption momentum in the GCC will gain further impetus in 2024”

CIO

Developing generative AI implementation strategies will be imperative for technology leaders, prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency.

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EU’s AI Act challenge: balance innovation and consumer protection

CIO

Italy, for instance, has recently taken a tougher stance and banned Open AI’s generative AI tool ChatGPT due to a lack of age controls for use and possible copyright infringement in the training data. In addition, open-source AI would prevent a few corporations from controlling and dominating the technology.

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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO

Running open source software on-prem or in private clouds can help reduce risks, such as that of data loss, and can help companies comply with data sovereignty and privacy regulations. But open source software carries its own risks as well, especially as the number of AI projects multiply on the open source repositories.

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Radar Trends to Watch: December 2022

O'Reilly Media - Ideas

Many companies, organizations, and individuals are wrestling with the copyright implications of generative AI. Google is playing a long game: they believe that the goal isn’t to imitate art works, but to build better user interfaces for humans to collaborate with AI so they can create something new.

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Accelerating Deployments of Streaming Pipelines – Announcing Data in Motion on Kubernetes

Cloudera

Cloudera Flow Management – Kubernetes Operator, and Cloudera Streaming – Kubernetes Operator bring a new level of hybrid portability to Data-in-Motion, which is critical for any organization operating in multiple clouds and data centers and has requirements around where data must live, such as data sovereignty laws in the EU.

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