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7 risk management rules every CIO should follow

CIO Business Intelligence

A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. This alignment sets the stage for how we execute our transformation.

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5 tips for better business value from gen AI

CIO Business Intelligence

Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives. Below are five examples of where to start. Gen AI holds the potential to facilitate that.

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10 AI strategy questions every CIO must answer

CIO Business Intelligence

Many CIOs have work to do here: According to a September 2024 IDC survey, 30% of CIOs acknowledged that they dont know what percentage of their AI proofs of concepts met target KPI metrics or were considered successful something that is likely to doom many AI projects or deem them just for show. What ROI will AI deliver?

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Six Essential Inquiries Every Board Should Ask Before Approving That Next AI Project

Jen Stirrup

Risk Assessment: Mapping to Enterprise Risk Management Every significant project carries risks, but AI initiatives introduce novel challenges that may not fit neatly into traditional risk frameworks. Effective boards require comprehensive risk mapping before approval. For example, 5.

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Your enterprise business needs an AI policy. Here’s how to build it out

CIO Business Intelligence

Defining AI’s scope and application is now a foundational element of enterprise risk management, requiring attention to legal exposure, operational impact and ethics. Metrics matter. Recent surveys show 78% of organizations use AI in at least one business function — up from the 55% reported two years ago.

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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. Of these, AI is at the top of many CIOs minds.