New & Notable
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The AI safety crunch and how enterprises should deal with it
The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.
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Prompt: AI governance enters its verification phase
California's new AI auditing laws point to a shift from companies making their own safety claims to proving those claims in independent review.
News
Mistral bets enterprise AI will be about control, not just intelligence
The French AI lab is using a $3B fundraise to sell control over AI infrastructure, not just model power -- a shift in direction that could matter to U.S. firms in Europe too.
News
What it finally takes to make quantum commercially viable
Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.
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 Manage
Key enterprise strategies for AI agent observability
Monitoring AI agents encompasses three pillars: agent intent, method and outcome. Explore all three, along with best practices for AI agent observability.
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Emerging Tech News
What it finally takes to make quantum commercially viable
Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.
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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 News
Mistral bets enterprise AI will be about control, not just intelligence
The French AI lab is using a $3B fundraise to sell control over AI infrastructure, not just model power -- a shift in direction that could matter to U.S. firms in Europe too.
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AI Ethics & Governance News
Prompt: AI governance enters its verification phase
California's new AI auditing laws point to a shift from companies making their own safety claims to proving those claims in independent review.
Sponsored Sites
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Information Management
Microsoft and Blue Yonder
Build resilient, intelligent operations with Microsoft and Blue Yonder, unifying planning, data, and execution so siloed networks become connected, AI driven systems that cut costs, boost service, and keep production and logistics on track through disruption.
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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.
Find Solutions For Your Project
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Evaluate
What it finally takes to make quantum commercially viable
Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.
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To justify physical AI costs, choose high-value use cases
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Making space for spatial computing
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A guide to AI chip architectures
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Problem Solve
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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Embodied AI vs. physical AI: Why their differences matter
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Beyond discovery: The real shadow AI challenge
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Power-hungry AI data centers weigh viable energy sources
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Manage
Key enterprise strategies for AI agent observability
Monitoring AI agents encompasses three pillars: agent intent, method and outcome. Explore all three, along with best practices for AI agent observability.
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AI cloud migration: Key steps to success
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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 & Emerging Tech Basics
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Get Started
What it finally takes to make quantum commercially viable
Turns out quantum computing still has several missing links on the road to commercial viability, including better fault tolerance, lower error rates and more qubits per system.
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Get Started
To justify physical AI costs, choose high-value use cases
Physical AI is starting to drive business value in industries like manufacturing and healthcare. But the ROI calculus is subtle and calls for a wide-angle view of metrics.
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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.
Multimedia
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