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DeepSeek and what enterprises should learn from AI agent exploits
A new case of an out-of-control AI model shows that enterprises should treat models and agents as toddlers that need supervision and explicit instructions.
Evaluate
On-premises vs. edge AI implementations for AI inference
AI inference can run on-premises for high-volume tasks or at the edge for real-time decisions. Business leaders must weigh the tradeoffs of each method to choose the right fit.
News
Meta joins enterprise agent race with Muse Wonder, facing a trust gap
The company’s new releases point to an AI market that is becoming more personal, with agents and models completing tasks, but enterprises still aren’t ready for this new phase of AI.
News
Humanoid bottlenecks emerge amid US-China tensions
Rising production volumes are increasing pressure on suppliers, while U.S.-China tensions could make it harder for Western manufacturers to secure alternatives to Chinese suppliers.
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
Western open-weight campaign could give enterprises more control over AI
New Western open-weight models could give enterprises an alternative to Chinese and proprietary AI, but greater control also brings new responsibilities.
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Emerging Tech News
Humanoid bottlenecks emerge amid US-China tensions
Rising production volumes are increasing pressure on suppliers, while U.S.-China tensions could make it harder for Western manufacturers to secure alternatives to Chinese suppliers.
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AI Technologies & Platforms News
Meta joins enterprise agent race with Muse Wonder, facing a trust gap
The company’s new releases point to an AI market that is becoming more personal, with agents and models completing tasks, but enterprises still aren’t ready for this new phase of AI.
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AI Infrastructure Evaluate
On-premises vs. edge AI implementations for AI inference
AI inference can run on-premises for high-volume tasks or at the edge for real-time decisions. Business leaders must weigh the tradeoffs of each method to choose the right fit.
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AI Ethics & Governance Evaluate
The risks of AI overreliance in software engineering
It's unquestionable whether generative AI provides productivity gains for software engineers. But developer overreliance on AI comes with its share of risks.
Sponsored Sites
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Artificial Intelligence
Deloitte & Snowflake: Generative AI
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AI
Trusted platforms for every workload
Modern IT is hybrid IT. Your enterprise has infrastructure, platforms, apps, and tools from different vendors. Proprietary tools don’t talk to each other. And apps cross clouds slowly, weighed down by data. And now, managing the growing complexity of AI/ML workloads adds another layer of challenge.You need advancements in infrastructure, management, and development that bring your clouds together. Connect with us to learn how together, Red Hat® and Amazon Web Services (AWS) give you the tools and technologies to adapt to market demands. Scale infrastructure, expand opportunities, and innovate with AI in line with your organization’s needs and business goals.
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Information Management
Information Reimagined
Looking to drive innovation, enhance security, and streamline operations? Information management solutions based on AI, cloud, and security help you get there.
Find Solutions For Your Project
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Evaluate
On-premises vs. edge AI implementations for AI inference
AI inference can run on-premises for high-volume tasks or at the edge for real-time decisions. Business leaders must weigh the tradeoffs of each method to choose the right fit.
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Consolidated vs. best-of-breed AI strategies: A C-suite guide
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The risks of AI overreliance in software engineering
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Evaluating agentic AI for demand forecasting
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Problem Solve
Physical AI in business gets smarter and more autonomous
Leaping from the computer screen into dynamic real-world environments, physical AI and embodied robotics take on increasingly more complex and dangerous tasks.
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AI apocalypse warnings: Safety concern or market strategy?
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Supply chain AI agents: Where should autonomy begin and end?
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Robotics needs real-time edge AI: Why and where
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Manage
Data centers aren't enough: The real AI infrastructure is people
The AI race isn't won by chips alone -- it's won by preparing people to use them. Vasileios Maroulas explains that without workforce readiness, technology investments fall short.
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The hidden cost of getting AI decisions wrong
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Mind the gap, not the doom: An operational guide to AI pacing
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AI extinction talk: IT leaders weigh in
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AI & Emerging Tech Basics
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Get Started
What competitive edge do AI-native companies have?
While AI has emerged as a powerful enterprise tool, many businesses struggle to integrate AI to its fullest potential. These lessons from AI-native companies can help.
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Get Started
Physical AI security threats and how to mitigate them
Malicious prompt injections, sensor manipulation, hardware tampering and vulnerable software take on greater urgency when robotic systems interact with humans and the real world.
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Get Started
Physical AI in business gets smarter and more autonomous
Leaping from the computer screen into dynamic real-world environments, physical AI and embodied robotics take on increasingly more complex and dangerous tasks.
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AI Technologies & Platforms
Meta joins enterprise agent race with Muse Wonder, facing a trust gap
The company’s new releases point to an AI market that is becoming more personal, with agents and models completing tasks, but enterprises still aren’t ready for this new phase of AI.
-
Emerging Tech
Humanoid bottlenecks emerge amid US-China tensions
Rising production volumes are increasing pressure on suppliers, while U.S.-China tensions could make it harder for Western manufacturers to secure alternatives to Chinese suppliers.
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AI Technologies & Platforms
Prompt: AI agents are running into the limits of access
As agents take on more work for users, companies are deciding whether to let outside AI systems act on their platforms.
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