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Dulling the impact of AI-fueled cyber threats with AI

CIO

IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword.

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Gartner: 13 AI insights for enterprise IT

CIO

Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. Analysts at this week’s Gartner IT Symposium/Xpo spent tons of time talking about the impact of AI on IT systems and teams.

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9 IT resolutions for 2025

CIO

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. I am excited about the potential of generative AI, particularly in the security space, she says.

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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO

While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. We joined the pact right away because Adecco is an early adopter: Tthe HR and staffing sector is very impacted by AI, says Proietti.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process. We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. The Basic tier would use a smaller, more lightweight LLM well-suited for straightforward tasks, such as performing simple document searches or generating summaries of uncomplicated legal documents.