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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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Where’s the ROI for AI? CIOs struggle to find it

CIO

While Kane shows clients how to save time and money using AI tools like Microsoft Copilot, many SMB customers still don’t see the value of generative AI in tasks like writing a newsletter, when the AI doesn’t have access to their internal data. Most companies are simply playing with the novelty of AI still.”

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At risk of being left behind on AI, SMBs focus on the art of the possible

CIO

When companies like Google and Microsoft can afford to spend hundreds of millions of dollars on AI, some IT experts have questioned how SMBs can tap into the revolution. Many AI projects have huge upfront costs — up to $200,000 for coding assistants, $1 million to embed generative AI in custom apps, $6.5

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training.

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Microsoft joins SAP, Oracle in setting sunset date for legacy ERP support

CIO

Dynamics 365 Business Central is Microsoft’s flagship SMB ERP product, optimized to help businesses thrive in a new world of cloud and AI computing,” Morton said in a blog post announcing the end of support. Microsoft is committed to ensuring we offer robust and innovative solutions to meet these needs.

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Deploy DeepSeek-R1 distilled Llama models with Amazon Bedrock Custom Model Import

AWS Machine Learning - AI

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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Cybersecurity Snapshot: Five Eyes Rank 2023’s Most Frequently Exploited CVEs, While CSA Publishes Framework for AI System Audits

Tenable

The paper addresses a wide range of AI audit elements, including AI governance; the role of data and sensors; applicable laws, regulations and standards; data and privacy; algorithms, training methods and models; and security systems – to name just a few.

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