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Cost per task: A new method for AI spend management
Rather than relying on traditional metrics such as per-seat or per-token pricing, some businesses are measuring AI cost per successful task to manage their AI spending.
News
Enterprise controls can't keep up with AI agents
Companies are giving agents more authority, but many are still struggling to track what they can access, what they're doing and how to stop them.
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.
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.
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
Cost per task: A new method for AI spend management
Rather than relying on traditional metrics such as per-seat or per-token pricing, some businesses are measuring AI cost per successful task to manage their AI spending.
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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
A Guide to Unlock the Power of Private AI
Private AI is a powerful solution enabling businesses to access the insights provided by artificial intelligence securely while maintaining full control of data. While the benefits are compelling, companies must first undertake the necessary groundwork to capitalize on private AI. Explore this site to understand how private AI transforms operations across industries and how companies responsibly incorporate it into their business practices.
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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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AI & Emerging Tech
Verizon 5G Connected Laptops
A survey of 438 companies reveals a widening gap between AI adoption and network security, with 95% concerned about risks outside the office. While 5G connected laptops may offer a path forward, many enterprises have dormant 5G hardware.
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
Cost per task: A new method for AI spend management
Rather than relying on traditional metrics such as per-seat or per-token pricing, some businesses are measuring AI cost per successful task to manage their AI spending.
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Secure your agentic AI with identity management
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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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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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Enterprise AI Strategy
Enterprise controls can't keep up with AI agents
Companies are giving agents more authority, but many are still struggling to track what they can access, what they're doing and how to stop them.
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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.
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



