New & Notable
Evaluate
Why AI writing can't be great
In today's rapidly changing writing landscape -- just kidding. Most readers are savvy enough to recognize specific phrases as AI tells. Why does AI write like that, and why does it matter?
Manage
Businesses have AI tools. Why aren't employees using them?
As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.
Evaluate
To make policy, policymakers should use AI
Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.
News
AI and robotics yield bumper crops down on the farm
Autonomous tractors roam the fields 24/7, while AI, computer vision and machine learning harvest fruits, increase milk production, limit pesticides and boost crop yields.
Trending Topics
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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.
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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.
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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.
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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.
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AI Business Strategies Manage
Businesses have AI tools. Why aren't employees using them?
As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.
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Applications of AI Evaluate
To make policy, policymakers should use AI
Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.
Sponsored Sites
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Processors
AWS and AMD: Powerful processors to right size your workload
AWS and AMD have collaborated to give customers more choice and value in cloud computing, starting with the first generation AMD EPYC processors in 2018, expanding to the second generation AMD EPYC processors in 2020, and most recently with fifth generation AMD EPYC processors now available.
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Processors
AWS + Intel Xeon6: Fastest Intel-Powered EC2 Yet
Power your workloads with AWS's new 8th generation EC2 instances, featuring custom Intel Xeon 6 processors - exclusively on AWS! The complete family of C8i, M8i, and R8i instances, along with their flexible counterparts (C8i-Flex, M8i-Flex, R8i-Flex), are now available.
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Artificial Intelligence
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
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Find Solutions For Your Project
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Evaluate
To make policy, policymakers should use AI
Too often, policymakers base their organization's policies for AI usage on what they read in the news instead of first-hand experience working with the latest AI features.
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AI and robotics yield bumper crops down on the farm
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AI in law offices: How it's being used and the risks
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Controlling AI models is harder than building them
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Problem Solve
AI scaling is where most companies stall. Here's why
Expanding AI use requires new operating models, talent and mindsets -- not just more resources. Companies fail because they try to scale experiments instead of redesigning systems.
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How to keep data silos from damaging your AI projects
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Autonomous warehouse drones streamline inventory control
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Your AI advantage isn't speed -- it's judgment
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Manage
Businesses have AI tools. Why aren't employees using them?
As enterprise AI deployments accelerate, businesses find workflow redesign, change management and employee trust, not just the tools, determine adoption success.
-
How to ensure interpretability in machine learning models
-
AI turns data center power into an enterprise challenge
-
7 machine learning challenges facing businesses
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Enterprise Artificial Intelligence Basics
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Get Started
AI and robotics yield bumper crops down on the farm
Autonomous tractors roam the fields 24/7, while AI, computer vision and machine learning harvest fruits, increase milk production, limit pesticides and boost crop yields.
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Get Started
AI in law offices: How it's being used and the risks
Document discovery, court motions, patent protection, focus groups and client calls are tasks where AI saves law firms significant time and costs, while keeping humans in the loop.
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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.
Multimedia
Vendor Resources
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News
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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.
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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.
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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
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