New & Notable
News
10 top AI knowledge management platforms for businesses
AI knowledge platforms use search and GenAI to surface and monetize enterprise information, but comparisons show wide variance in capabilities, integration, governance and scale.
Manage
How to apply FinOps to optimize agentic AI costs
FinOps gives businesses the operating model for visibility, accountability and value management. But traditional FinOps models will need to be reworked for agentic AI.
Manage
Why AI systems need a boundary between reasoning and execution
Tightly coupled AI systems create control gaps. A reasoning-execution boundary enables policy-bound, traceable and auditable execution at scale across enterprise workflows.
Manage
AI FinOps requires a different approach than cloud
While AI's utility will continue to generate revenue for businesses, its cost grows with it. FinOps is a key strategy and governance tool that ensures AI delivers measurable ROI.
Trending Topics
-
AI Infrastructure News
Beautiful insanity: AI buildouts lead to long lead times
As hyperscalers build out their AI infrastructure, enterprises are seeing the effects in long waits for equipment and a shift to distributed architecture.
-
AI Technologies Manage
Dell exec: Balance safety and speed with agentic AI ethics
At this year's Dell Technologies World conference, Dell executive John Roese shared his thoughts on agentic AI and how its ethics can be compatible with timely innovation.
-
AI Platforms Manage
Why AI systems need a boundary between reasoning and execution
Tightly coupled AI systems create control gaps. A reasoning-execution boundary enables policy-bound, traceable and auditable execution at scale across enterprise workflows.
-
ML Platforms Manage
Build and organize an effective machine learning team
Putting together an ML team requires a business understand why it needs one and the core roles involved in making all aspects of the machine learning process work.
-
AI Business Strategies Problem Solve
How businesses can get ahead of potential AI deskilling
Will AI's efficiency gains of today come at the expense of workforce skill tomorrow? Hear one expert's thoughts on the impending AI deskilling epidemic and how to prevent it.
-
Applications of AI Evaluate
Citizen developers are redefining enterprise AI development
Generative AI is enabling nontechnical business users to build enterprise software, accelerating innovation while creating new risks around governance, security and control.
Sponsored Sites
-
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.
-
Business Applications
AWS for Software Companies
Join thousands of software companies who trust AWS to power their rapid and secure growth through cloud services that can help you scale fast and innovate.
-
Cloud
Get More Out of Your Cloud
Learn how Google and Intel can help you extract more value from cloud infrastructure.
Featured Authors
Find Solutions For Your Project
-
Evaluate
10 top AI knowledge management platforms for businesses
AI knowledge platforms use search and GenAI to surface and monetize enterprise information, but comparisons show wide variance in capabilities, integration, governance and scale.
-
How to choose the right IKMS in a fast-moving AI market
-
8 AI costs leaders don't always budget for but should
-
Artificial general intelligence: So close yet so far?
-
-
Problem Solve
How businesses can get ahead of potential AI deskilling
Will AI's efficiency gains of today come at the expense of workforce skill tomorrow? Hear one expert's thoughts on the impending AI deskilling epidemic and how to prevent it.
-
Why AI systems need a boundary between reasoning and execution
-
AI drones undertake high-risk jobs along the supply chain
-
GenAI and synthetic data: What can go wrong in business?
-
-
Manage
How to apply FinOps to optimize agentic AI costs
FinOps gives businesses the operating model for visibility, accountability and value management. But traditional FinOps models will need to be reworked for agentic AI.
-
AI FinOps requires a different approach than cloud
-
Agentic governance must go beyond traditional IT practice
-
Dell exec: Balance safety and speed with agentic AI ethics
-
Enterprise Artificial Intelligence Basics
-
Get Started
10 top AI knowledge management platforms for businesses
AI knowledge platforms use search and GenAI to surface and monetize enterprise information, but comparisons show wide variance in capabilities, integration, governance and scale.
-
Get Started
How to choose the right IKMS in a fast-moving AI market
Poor platform selection is a leading cause of failed knowledge management system deployments. Product demos don't tell nearly enough. Five key factors can determine IKMS success.
-
Get Started
Beautiful insanity: AI buildouts lead to long lead times
As hyperscalers build out their AI infrastructure, enterprises are seeing the effects in long waits for equipment and a shift to distributed architecture.
Multimedia
Vendor Resources
- Enterprise Networking Sees Age of SASE and Network as a Service –Research Content
- Skating the Wave –Replay
- Mission security: Deploying AI agents in production –Replay
-
News
View All -
AI infrastructure
Beautiful insanity: AI buildouts lead to long lead times
As hyperscalers build out their AI infrastructure, enterprises are seeing the effects in long waits for equipment and a shift to distributed architecture.
-
Artificial intelligence platforms
Claude Mythos Preview and the new rules of cybersecurity
AI is reshaping cybersecurity. Anthropic's Claude Mythos Preview exposes a new era of rapid, autonomous vulnerability discovery and the governance challenges ahead.
-
AI technologies
The ethical implications of Anthropic's feud with the Pentagon
The Anthropic-Pentagon feud highlights a broader shift in AI governance, where ethical constraints, vendor policies and legal frameworks are redefining control and accountability.
Search Enterprise AI 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