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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

But CIOs will need to increase the business acumen of their digital transformation leaders to ensure the right initiatives get priority, vision statements align with business objectives, and teams validate AI model accuracy.

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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. But this scenario is avoidable.

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Balancing the costs and opportunities of GenAI adoption

CIO Business Intelligence

But alongside its promise of significant rewards also comes significant costs and often unclear ROI. For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential.

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What tech Infrastructure NSW’s ICT director aligns with business objectives

CIO Business Intelligence

“It’s important to ensure the technology function isn’t just a set of blinking lights and widgets,” says Sean Carritt, director for ICT and business systems at Infrastructure NSW, the government agency of New South Wales that identifies and prioritizes public infrastructure for economic and social benefit.

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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

What companies need to do in order to cope with future challenges is adapt quickly: slim down and become more agile, be more innovative, become more cost-effective, yet be secure in IT terms. Aligning modernisation with the firm’s business results and corporate vision is another key factor. That’s why the issue is so important today.

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5 tips for better business value from gen AI

CIO Business Intelligence

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Below are five examples of where to start.

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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

Robotic process automation (RPA) has been a cornerstone of task automation, allowing businesses to execute high-volume, transactional procedures with minimal human intervention. Enterprises that adopt RPA report reductions in process cycle times and operational costs.