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Planning AI infrastructure upgrades: Four steps for success
AI infrastructure upgrades require proactive planning. Steps include setting business goals, assessing existing infrastructure, and optimizing hardware, security and governance.
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What businesses really need from an AI off switch
Turning off an AI feature doesn't necessarily stop AI processing. Businesses need meaningful controls over AI features, data access, third parties and software updates.
News
Using AI for revenue growth is elusive but possible, experts say
Shifting AI's ROI from productivity gains to financial revenue is tricky. Some firms, like TD Bank Group, are leading the way.
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Making space for spatial computing
Construct spatial computing programs through evidence, not hype. Use this roadmap to ensure that workflow selection is the starting point, not device selection.
Trending Topics
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Quantum Computing News
What Claude Mythos revealed about post-quantum security
Quantum computing will break standard security codes and change how we protect data and prepare for the future. Claude Mythos proved we're still not ready for the quantum era.
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Enterprise AI Strategy News
Using AI for revenue growth is elusive but possible, experts say
Shifting AI's ROI from productivity gains to financial revenue is tricky. Some firms, like TD Bank Group, are leading the way.
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Emerging Tech Get Started
Making space for spatial computing
Construct spatial computing programs through evidence, not hype. Use this roadmap to ensure that workflow selection is the starting point, not device selection.
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AI Technologies & Platforms Evaluate
Ethical AI surveillance balances oversight and transparency
AI-powered employee surveillance gives employers new visibility into workers while raising concerns about privacy, bias and trust. Learn how enterprises can deploy it responsibly.
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AI Infrastructure Get Started
Planning AI infrastructure upgrades: Four steps for success
AI infrastructure upgrades require proactive planning. Steps include setting business goals, assessing existing infrastructure, and optimizing hardware, security and governance.
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AI Ethics & Governance Manage
What businesses really need from an AI off switch
Turning off an AI feature doesn't necessarily stop AI processing. Businesses need meaningful controls over AI features, data access, third parties and software updates.
Sponsored Sites
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Artificial Intelligence
Kaspersky – Optimizing your SOC
Are you interested in developing your organization’s SOC or optimizing an existing one? Kaspersky shares its expertise in articles built on its vast experience building and managing successful SOCs.
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Information Management
Microsoft and Capgemini
Microsoft and Capgemini are helping Energy organizations modernize asset inspection with Microsoft’s Intelligence & Trust Frontier Transformation platform and Capgemini’s deep industry, engineering, and AI integration expertise, delivering AI-driven insights that improve safety, efficiency, compliance, and sustainability at scale.
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Artificial Intelligence
Intel & Red Hat: Leading the way in Enterprise AI
Combining Intel’s silicon experience with Red Hat’s software innovation to enable AI-driven hybrid multi-cloud solutions.
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Making space for spatial computing
Construct spatial computing programs through evidence, not hype. Use this roadmap to ensure that workflow selection is the starting point, not device selection.
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A guide to AI chip architectures
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Ethical AI surveillance balances oversight and transparency
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AI agent security: How reliable is enterprise AI testing?
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Problem Solve
Beyond discovery: The real shadow AI challenge
IT teams can now identify shadow AI tools, but remediation doesn't scale. Managing hundreds of niche AI tools requires faster approvals and distributed governance.
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Power-hungry AI data centers weigh viable energy sources
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AI isn't breaking higher education – it's exposing the cracks
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HAL 9000 was right: AI guardrails matter more than perfect models
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AI cloud migration: Key steps to success
Migrating AI to the cloud demands strategic planning, system assessments, component modernization, data pipeline optimization and phased deployment. Find out what you need to know.
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Planning AI infrastructure upgrades: Four steps for success
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What businesses really need from an AI off switch
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AI cybersecurity vs. AI cyberattacks: Who's winning?
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AI & Emerging Tech Basics
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Get Started
Planning AI infrastructure upgrades: Four steps for success
AI infrastructure upgrades require proactive planning. Steps include setting business goals, assessing existing infrastructure, and optimizing hardware, security and governance.
-
Get Started
Making space for spatial computing
Construct spatial computing programs through evidence, not hype. Use this roadmap to ensure that workflow selection is the starting point, not device selection.
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Get Started
A guide to AI chip architectures
The diversity of today's AI processors can make their purpose, benefits and limitations confusing. This roundup can help businesses match their AI tasks to the right chip.
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Vendor Resources
- The DevOps Roadmap for Security –eBook
- From Code to Production –Analyst Report
- Enterprise Networking Sees Age of SASE and Network as a Service –Research Content
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News
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AI Infrastructure
AI agent security: How reliable is enterprise AI testing?
Experts outline comprehensive testing practices before and after deployment of AI agents to prevent them from acting on their own beyond prescribed instructions.
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AI Ethics & Governance
When AI agents go rogue: What enterprise leaders need to know
A recent wave of AI agents breaching test sandboxes and outside company systems is raising new governance and security questions for enterprise IT leaders deploying autonomous AI.
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AI Technologies & Platforms
Zuckerberg's manifesto: Do Meta's promises and actions align?
Mark Zuckerberg's manifesto on the future of AI sounds promising, with democratized AI and superintelligent personal agents for everyone. But is this vision too good to be true?
AI & Emerging Tech Definitions
- What is automated machine learning (AutoML)?
- What is a data scientist? What do they do?
- What are AI agents? Types and examples
- What is an intelligent agent? Definition, use cases and benefits
- What is natural language processing (NLP)?
- Agentic AI explained: Key concepts and enterprise use cases
- What is a neural network?
- What is a robot? Definition, purpose, uses