New & Notable
Manage
AI turns data center power into an enterprise challenge
AI workloads are straining data center power and grid capacity, forcing enterprises to rethink workload, cloud and infrastructure strategies beyond traditional approaches.
News
The rise of the AI forward-deployed engineer
The bottleneck in enterprise AI has shifted from model access to deployment. Vendors are responding by embedding engineering teams directly inside customer environments.
News
Q&A: Generate Biomedicines CTO talks AI advancements
Generate Biomedicines has been AI-native since its founding in 2018. Hear from co-founder and CTO Gevorg Grigoryan about how the biotech company uses AI to its advantage.
News
Controlling AI models is harder than building them
Before companies safely grant autonomy to AI agents deployed in their business processes, they must first establish an infrastructure of governance, accountability and control.
Trending Topics
-
AI Infrastructure Manage
AI turns data center power into an enterprise challenge
AI workloads are straining data center power and grid capacity, forcing enterprises to rethink workload, cloud and infrastructure strategies beyond traditional approaches.
-
AI Technologies Manage
How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved transparency, troubleshooting and user acceptance.
-
AI Platforms Evaluate
The best AI chatbots for 2026: Compare features and costs
AI chatbots are smarter, faster and more versatile than ever. See how top platforms like OpenAI's ChatGPT, Anthropic's Claude and Microsoft's Copilot stack up in this hands-on comparison.
-
ML Platforms Manage
7 machine learning challenges facing businesses
Machine learning challenges cover everything from ethical issues to data quality and user acceptance concerns. Learn about seven common obstacles.
-
AI Business Strategies News
The rise of the AI forward-deployed engineer
The bottleneck in enterprise AI has shifted from model access to deployment. Vendors are responding by embedding engineering teams directly inside customer environments.
-
Applications of AI Manage
Why AI governance and data privacy must be integrated
Connecting AI to sensitive data forces enterprises to face a hard question: Where are the privacy gaps that could expose us to legal, financial and reputational harm?
Sponsored Sites
-
Data Management
Intel and Microsoft: Intelligent Edge to Cloud Solutions
Microsoft and Intel build on long-standing co-engineering efforts to enable differentiated services within Azure. By combining innovative software and services with cutting-edge hardware, the Intel and Microsoft partnership delivers state-of-the-art-edge to cloud solutions for Industrial IoT and computer vision edge AI, SAP on Azure, high-performance computing (HPC), confidential computing, hybrid cloud, Microsoft SQL Server, AI, analytics, and more.
-
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.
-
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.
Featured Authors
Find Solutions For Your Project
-
Evaluate
Controlling AI models is harder than building them
Before companies safely grant autonomy to AI agents deployed in their business processes, they must first establish an infrastructure of governance, accountability and control.
-
AI is supposed to cut lots of jobs? Not so fast
-
When to run AI on-premises vs. in the cloud
-
25 women pioneers who shaped AI's evolution
-
-
Problem Solve
How to keep data silos from damaging your AI projects
Data silos impede successful AI operation. However, there are practical ways to connect data stores and improve AI outcomes.
-
Autonomous warehouse drones streamline inventory control
-
Your AI advantage isn't speed -- it's judgment
-
Humanoid robots not quite ready for primetime
-
-
Manage
How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved transparency, troubleshooting and user acceptance.
-
AI turns data center power into an enterprise challenge
-
7 machine learning challenges facing businesses
-
Why AI governance and data privacy must be integrated
-
Enterprise Artificial Intelligence Basics
-
Get Started
Controlling AI models is harder than building them
Before companies safely grant autonomy to AI agents deployed in their business processes, they must first establish an infrastructure of governance, accountability and control.
-
Get Started
AI is supposed to cut lots of jobs? Not so fast
Workers have long feared AI will one day displace them. But emerging evidence suggests otherwise: AI might preserve jobs, even as it reshapes roles and skill requirements.
-
Get Started
5 advantages of a semantic layer for enterprise AI
Semantic layers are an increasingly pivotal architecture for enterprise AI, enabling AI systems to more accurately identify relationships between conflicting data points.
Multimedia
Vendor Resources
-
News
View All -
Enterprise applications of AI
MIT study warns of major AI risk. Is governance keeping up?
AI experts warn of catastrophic AI risks, but governance lags, with security concerns driving policy while broader risks aren't being fully addressed.
-
AI technologies
SpaceX IPO aims for AI and orbital data centers
The record-setting debut asks investors to buy into an integrated hardware and software infrastructure play that spans space, energy and data resources.
-
AI technologies
Trump AI order targets frontier model prerelease review
The White House's voluntary AI executive order creates a prerelease review process for frontier models, raising questions about release timelines, vendor trust and enterprise procurement.
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