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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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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

What began with chatbots and simple automation tools is developing into something far more powerful AI systems that are deeply integrated into software architectures and influence everything from backend processes to user interfaces. While useful, these tools offer diminishing value due to a lack of innovation or differentiation.

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IBM and Hispanic Heritage Foundation partner to upskill Latinos for IT careers

CIO

Antonio Tijerino, president and CEO of HHF, says partnering with IBM on SkillsBuild presented a clear opportunity to connect the Latino community to career-building opportunities in technology through a well-established learning program. Many just need the chance to gain the right training to build relevant skills for the industry.

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Digital transformation 2025: What’s in, what’s out

CIO

CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows. CIOs who struggle to make a business case solely on this driver should also present a defensive strategy and share the AI disasters that hit businesses in 2024 as an investment motivator.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

Approach and base model overview In this section, we discuss the differences between a fine-tuning and RAG approach, present common use cases for each approach, and provide an overview of the base model used for experiments. Model customization refers to adapting a pre-trained language model to better fit specific tasks, domains, or datasets.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

The Mozart application rapidly compares policy documents and presents comprehensive change details, such as descriptions, locations, excerpts, in a tracked change format. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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What underscores, and undermines, a successful CIO-CEO collaboration

CIO

I’m a systems director, but my training is of a specialist doctor with experience in data, which wouldn’t have been common a few years ago.” It’s recognized that, in order to truly transform healthcare, ICT leadership has to be present in strategic decisions from the start.” This evolution applies to any field.