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4 potential risks from shadow AI use in accounting
Lack of AI oversight can lead to an increase in risk for any department, including accounting. Learn more about the risks of shadow AI.
AI makes workers faster -- and reviewers busier
AI productivity gains can disappear when review, verification and exception handling pile up elsewhere. CIOs need to measure the downstream work, not just the initial speed.
Self-improving AI is widening what counts as a software change
AI systems are beginning to propose changes to agents' prompts, tools and models. CIOs must decide what counts as a change and how far the evidence lets it travel.
AI vendor lock-in moves beyond the model
Open protocols can connect agents across vendors and clouds, but CIOs still need portable context, controls and business logic to avoid deeper dependencies.
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Evaluate
New book urges CIOs to envision better futures
AI risk matters, but CIOs also need to imagine what could go right. Nikolas Badminton's book shows how futures thinking can turn hope into action and shape what's next.
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AI gives OneDigital more capacity, but ROI remains to be seen
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Top soft skills for CIOs, and how to get them
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Enterprise AI got better, but the ROI didn't
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Problem Solve
Why hope is a CIO leadership skill
CIOs need to inspire teams as well as manage technology. Futurist Nikolas Badminton explains how hope can help leaders build vision, empower teams and drive action.
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The human in the loop is falling asleep
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Why pragmatic approaches to AI can minimize pilot failure
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How to overcome anti-ESG movements
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Manage
Career moves that turn IT managers into business leaders
IT managers aspiring to become executive leaders must step beyond tech, seek mentorship and develop management skills to succeed in the C-suite. But not all paths are the same.
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The path to becoming a CIO, from a CIO
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AI safety is a board decision -- and they need to start making it
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Human skills beat technical virtuosity every time
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IT Strategy Basics
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14 need-to-know tips for digital transformation success
What separates a successful digital transformation implementation from a recipe for disaster? These 14 tips will help ensure your DX efforts result in business improvement.
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Why AI enablement teams shouldn't live within IT
AI enablement teams can sit outside IT to stay focused on business needs. That can help CIOs avoid costly AI projects that fail to deliver value.
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When should CIOs care about quantum computing?
Quantum computing is still in its early stages, but CIOs in some industries should pay attention now. Learn where the technology stands and how to prepare.
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An explanation of quantum in computing
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News
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CIO Strategy
Self-improving AI is widening what counts as a software change
AI systems are beginning to propose changes to agents' prompts, tools and models. CIOs must decide what counts as a change and how far the evidence lets it travel.
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CIO Strategy
AI vendor lock-in moves beyond the model
Open protocols can connect agents across vendors and clouds, but CIOs still need portable context, controls and business logic to avoid deeper dependencies.
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CIO Strategy
Outcomes-based AI pricing works in theory -- but in practice?
Outcomes-based AI pricing sounds great at a macro level, but CIOs must define results, settle disputes and meet procurement requirements before it works in practice.
IT Strategy Definitions
- What is a chief data officer (CDO)?
- What is user-generated content?
- What is business process outsourcing (BPO)?
- What is a data governance policy?
- What is user experience and UX design? Why should you care?
- What is Hyperledger?
- What is data culture? A guide for data-driven organizations
- What is SOX compliance? A complete guide and checklist