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With critical thinking in decline, IT must rethink application usability

CIO

Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Together these trends should inspire CIOs and their application developers to look at application usability though a different lens.

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In potential reversal, European authorities say AI can indeed use personal data — without consent — for training

CIO

It said that it was open to potentially allowing personal data, without owners consent, to train models, as long as the finished application does not reveal any of that private information. This reflects the reality that training data does not necessarily translate into the information eventually delivered to end users.

Training 158
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Cyber Guardians: INE Security Champions Cybersecurity Training During National Physicians Week 2025

CIO

INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Continuous training ensures that protecting patient data and systems becomes as second nature as protecting patients physical health.

Training 128
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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. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning - AI

These dimensions make up the foundation for developing and deploying AI applications in a responsible and safe manner. In this post, we introduce the core dimensions of responsible AI and explore considerations and strategies on how to address these dimensions for Amazon Bedrock applications.

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Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

AWS Machine Learning - AI

Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.

Training 106
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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Or bring in a consulting company that can help you build and train at the same time, he adds.