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IBM: Agentic AI is reshaping governance, controls and trust
As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.
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Musing about Muse’s new AI models, unruly DeepSeek
The social media giant tries to capitalize on, monetize its successful personal agent and maybe crack the business market. Chinese models go astray, like their U.S. counterparts.
News
Anthropic IPO: Market forces and enterprise AI effects
Anthropic's pending move intensifies the financial scrutiny on AI companies' business models, which will have downstream effects on enterprise AI adoption.
Evaluate
We need responsible people to drive responsible AI
Rules alone can't make AI safe -- IAPP's Trevor Hughes argues it's time to build and scale a professionalized AI governance workforce before risks outpace oversight.
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
IBM: Agentic AI is reshaping governance, controls and trust
As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.
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Emerging Tech News
Musing about Muse’s new AI models, unruly DeepSeek
The social media giant tries to capitalize on, monetize its successful personal agent and maybe crack the business market. Chinese models go astray, like their U.S. counterparts.
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AI Technologies & Platforms News
Robots can't talk to each other yet -- that's a big AI bottleneck
Coordinating robots and autonomous systems will be critical to unlocking physical AI, but it’s still unclear whether interoperability is an immediate barrier to adoption.
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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 Manage
Secure your agentic AI with identity management
AI agents are an invisible workforce that ushers in a new generation of vulnerabilities and threats. Enforce strict identity management to secure these agents.
Sponsored Sites
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Artificial Intelligence
Dell AI Factory with NVIDIA
Reimagine the speed of business with cutting-edge AI innovation and scalable AI workflow automation.
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Information Management
Microsoft & Celebal Tech
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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.
Find Solutions For Your Project
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Evaluate
We need responsible people to drive responsible AI
Rules alone can't make AI safe -- IAPP's Trevor Hughes argues it's time to build and scale a professionalized AI governance workforce before risks outpace oversight.
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On-premises vs. edge AI implementations for AI inference
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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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Problem Solve
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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Physical AI in business gets smarter and more autonomous
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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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Manage
Secure your agentic AI with identity management
AI agents are an invisible workforce that ushers in a new generation of vulnerabilities and threats. Enforce strict identity management to secure these agents.
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Data centers aren't enough: The real AI infrastructure is people
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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 & 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
Robots can't talk to each other yet -- that's a big AI bottleneck
Coordinating robots and autonomous systems will be critical to unlocking physical AI, but it’s still unclear whether interoperability is an immediate barrier to adoption.
-
Enterprise AI Strategy
IBM: Agentic AI is reshaping governance, controls and trust
As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.
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AI Ethics & Governance
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.
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