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CEOs’ top priorities for IT leaders today

CIO Business Intelligence

“We know what we’re trying to achieve, because we know the business goals and objectives,” We want to grow substantially, and we want to do that with speed,” says Bilker, whose clarity on IT’s business objectives mirror the top directives CEOs are giving their CIOs, according to the 2024 State of the CIO Study from Foundry, publisher of CIO.com.

IT 129
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8 strategies for accelerating IT modernization

CIO Business Intelligence

That’s not hyperbole: TEKsystems’ 2024 State of Digital Transformation report found that 53% of organizations classified as digital leaders are confident that their digital investments will meet expected ROIs. In contrast, only 27% of those categorized as DX laggards say as much.

Strategy 140
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Non-disruptive SAP ERP modernization on IBM Power

IBM Big Data Hub

A key reason for this hesitancy is the complexity and cost of migrating to a new ERP platform. SAPinsider’s RISE with SAP 2023 report identified the primary benefit as the single contract that enables a cost-effective move 2. As with most enterprise IT modernization programs, there is no one-size-fits-all solution.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. Most “lifted and shifted” apps can operate in a cloud environment but might not to reap the full benefits of cloud.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. 46% of survey respondents in 2024 showed a preference for open source models.

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How MLOps Enables Machine Learning Production at Scale

DataRobot Blog

Difficulties faced when moving models into production include cost and a lack of automation – cited by over 55% of respondents to a recent IDC study. This is why businesses are increasingly investing in machine learning operations (MLOps): IDC predicts by 2024, 60% of enterprises will have operationalized their ML workflows by using MLOps.

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CIOs confront generative AI’s workplace X factor

CIO Business Intelligence

Consequently, one of the CIO’s top priorities for 2024 is discovering and uncovering the added value human workers can concretely achieve using LLMs — and much of this remains unknown. More benefit may come from a process or technology improvement instead of broad application of AI to ‘fix’ problems,” he says.