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CIOs are worried about the informal rise of generative AI in the enterprise

CIO

But while organizations look to incorporate elements of generative AI to strengthen efficiency and productivity, others are worried about controlling its usage within the enterprise. Furthermore, heightening the issue is that a lot of the adoption of AI is not visible at the product level but at a contractual level. Stay tuned!

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DIY cloud cost management: The strategic case for building your own tools

CIO

Evolving enterprise needs often outpace the product roadmaps of SaaS cost optimization solutions providers. Here, a DIY approach can help enterprise IT teams be more nimble in making adjustments to their cloud resource use, thereby keeping fine-grained, responsive control over cloud usage before costs have a chance to spike.

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Generative AI usage gains traction among enterprises: McKinsey

CIO

The usage of generative AI across enterprises is already widespread, although it is still early days for the new technology, according to a report from McKinsey’s AI consulting service, Quantum Black. This usage was highest in the technology sector, and among respondents from North America, the report showed.

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12 most popular AI use cases in the enterprise today

CIO

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO

Now, manufacturing is facing one of the most exciting, unmatched, and daunting transformations in its history due to artificial intelligence (AI) and generative AI (GenAI). Manufacturers are attaining significant advancements in productivity, quality, and effectiveness with early use cases of AI and GenAI. Here’s how.

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Why CIOs back API governance to avoid tech sprawl

CIO

API-first development yields a multitude of benefits, he adds, including abstraction of the underlying data, increased automation, better governance over data usage, and a more accessible audit trail. And Sabhlok adds: “Gen AI LLMs provide APIs that are leveraged across several AI applications, and spawn exponentially growing API usage.”

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A CISO POV: Securing AI in your company

CIO

Public LLMs in the sandbox: Safely test publicly available Large Language Models (LLMs) in a sandbox environment, separate from the production setting, to assess their impact without risking operational disruptions. How much of this usage is part of ‘approved and budgeted’ corporate policy and programs? And how much is ‘bootleg’ usage?

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