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The CIO’s 2024 AI playbook

CIO Business Intelligence

For enterprise executives in 2024, that means right-sizing those expectations and getting to work: justifying the right use cases, forming teams, and tracking progress and ROI. After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024.

ROI 102
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The portfolio approach to digital transformation: 4 keys to success

CIO Business Intelligence

Corporate projects are classically evaluated on standard matrices such as return on investment (ROI), break-even period, and capital invested. But as organizations look to quickly leverage the power of emerging digital technologies for business growth, such an approach is falling short on expectations.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

The cloud is great for experimentation when data sets are smaller and model complexity is light. Often the burden of platform development can fall on data science and developer teams who know what they need for their projects, but whose skills are better served focusing on experimentation with algorithms instead of systems development.

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

Still, ADP’s long-term experimentation with AI also includes use of Microsoft’s OpenAI Service and Databricks’ AI platforms, Nagrath says. It is hard to have the ROI and know the efficacy of these things,” Nagrath says. “We We are so early in the game and doing a lot of experimentation.

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Ferrovial puts AI at the heart of its transformation

CIO Business Intelligence

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 101
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Unlocking the Secrets of Your Customer Data

DataRobot

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business.

ROI 52
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What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be. There’s often a big expectation difference between the goal to be data-driven and the business transformation created by data.

IT 129