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AI failure examples: What real-world breakdowns teach CIOs
The real risk of AI isn't experimentation—it's deployment. Leaders must address governance, data gaps and oversight before scaling enterprise systems.
Manage
ESG for IT: How CIOs can drive environmental sustainability
Sustainability as a business initiative has rocketed up the priority list as investors, consumers and legislators demand accountability from businesses. Here's how IT can help.
Evaluate
How CIOs can tackle subscription sprawl and costs
As subscription models expand, hidden costs and risks grow with them. IT leaders need stronger visibility and accountability to keep subscription sprawl under control.
Manage
Market whiplash: Why CIOs can't plan for volatility
Extreme swings in bitcoin, precious metals and rare earths are breaking IT cost forecasts, increasing vendor risk and forcing CIOs to rethink hardware budgeting strategies fast.
Trending Topics
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CIO Strategy Evaluate
AI failure examples: What real-world breakdowns teach CIOs
The real risk of AI isn't experimentation—it's deployment. Leaders must address governance, data gaps and oversight before scaling enterprise systems.
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Digital Transformation Get Started
10 must-know blockchain trends for 2026 and beyond
The over-the-top hype faded years ago, but blockchain is settling in to make steady advances in cryptocurrency, financial services, tokenization and digital verification.
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Risk Management & Governance Manage
Safe by design: AI personalization in fintech
As AI drives deeper personalization in financial services, CIOs are under pressure to deliver growth while ensuring models remain explainable, secure and compliant.
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Apps, Infrastructure and Operations Evaluate
How CIOs can tackle subscription sprawl and costs
As subscription models expand, hidden costs and risks grow with them. IT leaders need stronger visibility and accountability to keep subscription sprawl under control.
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Cloud deployment and architecture Evaluate
8 reasons why IT leaders are embracing cloud repatriation
As IT leaders aggressively re-allocate capital to fund new AI initiatives, repatriation offers both savings and greater control, particularly in the finance, healthcare, manufacturing and research sectors.
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Data security and privacy Evaluate
2026 guide to digital forensics tools for enterprises
After a data breach, organizations and law enforcement need to understand what happened. These 10 digital forensics tools collect the key evidence required for an investigation.
Sponsored Sites
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Networking
Verizon Private 5G Edge - Enterprise Intelligence
Verizon is leading the development of secure cloud computing power at the edge of the network. Hosting applications at the network edge helps improve response times and performance – enabling the faster collection, processing and analysis of data for better business outcomes, and true Enterprise Intelligence.
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Artificial Intelligence
Deloitte & Snowflake: Generative AI
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Articlficial Intelligence
AI-Powered Devices: The Fourth Wave of Enterprise Computing
Enterprise computing enters its fourth wave as client devices transform from passive endpoints to intelligent AI systems. Modern laptops, desktops, and mobile devices now feature built-in NPUs and AI accelerators that bring artificial intelligence directly to where work happens. This shift creates distributed intelligence networks where every device anticipates user needs, optimizes workflows, and collaborates autonomously. Organizations gain enterprise AI at scale, transforming employees into human AI agents with unprecedented access to contextual, personalized computing experiences. The future of work is here—powered by intelligent devices that don't just access AI, but embody it.
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Evaluate
AI failure examples: What real-world breakdowns teach CIOs
The real risk of AI isn't experimentation—it's deployment. Leaders must address governance, data gaps and oversight before scaling enterprise systems.
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How CIOs can tackle subscription sprawl and costs
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What the 2026 Global Risks Report means for CIOs
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Do Gen Z, millennials already have the skills CIOs need?
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Problem Solve
How to manage dependency risk in third-party ad tech
Ad tech risk management is now vital for IT, not just marketing. Organizations must address third-party code risks to protect their brand's performance, security and compliance.
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How to attract tech talent in 2026: 8 essentials
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How CIOs can retain talent as pay growth slows
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The AI plateau: What smart CIOs will do when the hype cools
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Manage
ESG for IT: How CIOs can drive environmental sustainability
Sustainability as a business initiative has rocketed up the priority list as investors, consumers and legislators demand accountability from businesses. Here's how IT can help.
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Market whiplash: Why CIOs can't plan for volatility
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CIOs are feeling the pressure of the AI leadership gap
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The business value of IT: How CIOs drive competitiveness
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CIO Basics
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Get Started
Inside a CIO's mind: Mastering time and knowing the business
CIO Sean McCormack explains how he balances strategy, vendors and frontline engagement -- and why his to-do list lives on his calendar.
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Get Started
Why companies should be sustainable and how IT can help
Pressure is mounting for the business sector to address its environmental footprint and become more sustainable. Here's a look at the key drivers and how technology can help.
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Get Started
10 must-know blockchain trends for 2026 and beyond
The over-the-top hype faded years ago, but blockchain is settling in to make steady advances in cryptocurrency, financial services, tokenization and digital verification.
Multimedia
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An explanation of quantum in computing
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News
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CIO strategy
Gartner unveils top technology trends for 2026
Analysts reveal the top technology trends that CIOs need to know for 2026, including AI development, cybersecurity and data geopatriation.
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CIO strategy
DOJ targets state laws in latest inquiry
In another effort to further President Donald Trump's deregulatory agenda, the DOJ is seeking public comment on state laws that burden U.S. businesses.
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CIO strategy
U.S. could feel effects of EU AI Act as companies comply
The U.S. may be making a deregulatory push on AI, but the EU AI Act means large U.S. AI developers must comply with AI regulations that will affect their models regardless.
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