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How to get your CFO to buy into a better model for IT funding

CIO Business Intelligence

And they want to know exactly how much return on investment (ROI) can be expected when IT leaders make technology-related changes. Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. CFOs want certainty when it comes to spend.

Modeling 121
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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How to calculate TCO for enterprise software

CIO Business Intelligence

When organizations buy a shiny new piece of software, attention is typically focused on the benefits: streamlined business processes, improved productivity, automation, better security, faster time-to-market, digital transformation. It can help uncover hidden costs that could come back to bite you down the road.

Software 129
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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively.

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The steep cost of a poor data management strategy

CIO Business Intelligence

It’s a time-tested truth: Getting a head start improves outcomes. Without it, businesses incur steep costs, but the downside, or costs, are often unclear because calculating data management’s return on investment (ROI), or upside, is a murky exercise. Without it, organizations incur a significant opportunity cost.

Strategy 112
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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

Hybrid cloud allows them to take advantage of powerful open-source large language models (LLMs), use public data and computing resources to train their own models and securely fine-tune their models while keeping their proprietary insights private. Start small, test and scale.

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How to Set AI Goals

O'Reilly on Data

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.