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Implementing Digital Sovereignty in the Journey to Cloud

CIO Business Intelligence

As it becomes a dominant IT operating model, critical data is finding its way into the cloud. Rising volumes of sensitive data in public cloud make sovereignty an imperative Organisations are starting to value strategic autonomy to ensure resilience amid growing geopolitical and economic uncertainties.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

IT leaders expect AI and ML to drive a host of benefits, led by increased productivity, improved collaboration, increased revenue and profits, and talent development and upskilling. IT leaders understand that the models are only as good as the information on which they are educated.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations. And by 2028, the AI spend is likely to more than quadruple to 14.257 billion USD.

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Managed services projections increase through 2023

CIO Business Intelligence

Despite national news about increased costs, economic uncertainty, and more reports of technology firm layoffs, respondents indicated that they were planning to spend more IT budget in 2023, not less. In this report, the news about technology investments was surprisingly upbeat.

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CIO 100 Conference Celebrates the Top IT leaders in the UK and globally

CIO Business Intelligence

The event will also host a panel with the UK CIOs 2-4, which will follow a similar discussion. . As organizations strive to recover from the uncertainty wrought by the pandemic, they are taking a digital-first approach to building resilience into their operations.

IT 87
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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

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Hate being more productive? Ignore AI agents

CIO Business Intelligence

After being “awed” by OpenAI’s GPT model acing the AP Bio exam, the model was asked a non-technical question: “What do you say to a father with a sick child?” Fine-tuning models that run “on top” of foundation models requires less data, costs less, and can be completed quickly. But it can do much more.

Finance 101