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10 AI strategy questions every CIO must answer

CIO

Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. What are we trying to accomplish, and is AI truly a fit? Otherwise, organizations can chase AI initiatives that might technically work but wont generate value for the enterprise.

Strategy 211
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How ServiceNow gets the most out of generative AI

CIO

Competition among software vendors to be “the” platform on which enterprises build their IT infrastructure is intensifying, with the focus of late on how much noise they can make about their implementation of generative AI features. Sentiment can be a measure of how willing employees will be to use generative AI in their workflow.

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Generative AI won’t automate your way to business model innovation

CIO

Generative AI is changing the world of work, with AI-powered workflows now slated to streamline customer service, employee experience, IT, and other fields. One report estimates that 4,000 positions were eliminated by AI in May alone. Her point is that AI or generative AI isn’t a silver bullet.

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CIOs must beware committing ‘AI washing’ themselves

CIO

With the current AI gold rush, companies may be tempted to exaggerate their AI implementations to lure investors and customers, a practice called “AI washing,” but they should think twice before doing so, says David Shargel, a regulatory compliance lawyer with law firm Bracewell.

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Generative AI foundation model training on Amazon SageMaker

AWS Machine Learning - AI

To address various business and technical use cases, Amazon SageMaker offers two options for distributed pre-training and fine-tuning: SageMaker training jobs and SageMaker HyperPod. This allows businesses to offer a consistent training user experience across ML teams with varying levels of technical expertise and different workload types.

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Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry

AWS Machine Learning - AI

Amazon SageMaker , a fully managed service to build, train, and deploy machine learning (ML) models, has seen increased adoption to customize and deploy FMs that power generative AI applications. Deploy the models as SageMaker Inference endpoints that can be consumed by generative AI applications.

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10 best practices when partnering for strategic skills

CIO

Such partnerships include long-standing ones such as business consultancies to advise on transformation efforts, software vendors with expertise in vertical or horizontal solutions, system integrators to help design and implement multi-vendor tech stacks, and managed service providers to run and optimize targeted IT domains.