2004 | Archive | ComputerWeekly.com

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The top CIO challenges: AI hype, security and rapid change
TechTarget asked CIOs the biggest challenge they expect next year. Their answers point to AI adoption, rapid change and pressure ...
The AI factory model: What CIOs need to know
The AI experimentation phase is over. Enterprises are now racing to build AI factories that generate revenue, not just consume ...
The hidden costs of AI: What leaders must budget
AI implementation costs extend beyond model fees. Hidden expenses such as data preparation, governance, security and talent ...

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Transform SIEM rules with behavior-based threat detection
Outdated SIEM rules can hamstring enterprises as they try to safeguard their operations. Use a proactive, strategic approach ...
CISO's guide: How to test an incident response plan
Creating an incident response plan is only the beginning. Regular testing will help ensure it doesn't fall apart during a real ...
How to implement zero trust for AI
As organizations embed AI into business systems, they also expand the attack surface. Applying zero trust to AI can help mitigate...

10 AI-driven network management tasks
AI can automate key network operations tasks, such as anomaly detection, event correlation and ticketing. This shifts network ...
Network built for champions keeps the Derby on track
The Kentucky Derby is known for speed, and needs a network to keep the tech running as smoothly as the horses. Look behind the ...
5 clues your network has shadow AI
Shadow AI, or unauthorized AI tool use, poses risks like data exposure and compliance issues. Improved network visibility and ...

Quantum moves from promise to practice at IBM Think 2026
Quantum computing is becoming a reality at major companies, from Boeing to Allstate. Quantum -- especially when paired with AI --...
Balancing automation with human oversight in AI data centers
AI enhances data center operations through automation but requires human governance to manage risks, ensure ethical use and ...
AI capacity planning: Balancing flexibility, performance and risk
AI is transforming capacity planning, introducing unpredictable demand patterns. IT leaders must adopt new models to optimize ...

Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload ...
Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show ...
Alation intros AI governance suite to ensure compliance
As enterprises launch agents and other cutting-edge applications into production, remaining compliant with evolving regulations ...

2004 Stories