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AI inference cost optimization: An enterprise guide
Inference is the largest long-term expense in enterprise AI deployments. Businesses can keep AI inference costs in check with these seven optimization strategies.
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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?
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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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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 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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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 News
When orbital AI data centers become business reality
Shrinking launch costs, hyperscaler validation, serviceable hardware, manageable insurance risks and earthly energy constraints will thrust data centers into orbit and beyond.
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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.
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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.
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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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Wind River For Aerospace & Defense
Find Solutions For Your Project
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When orbital AI data centers become business reality
Shrinking launch costs, hyperscaler validation, serviceable hardware, manageable insurance risks and earthly energy constraints will thrust data centers into orbit and beyond.
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Why AI writing can't be great
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To make policy, policymakers should use AI
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AI and robotics yield bumper crops down on the farm
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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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Controlling AI models is harder than building them
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AI is supposed to cut lots of jobs? Not so fast
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How to keep data silos from damaging your AI projects
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Manage
AI inference cost optimization: An enterprise guide
Inference is the largest long-term expense in enterprise AI deployments. Businesses can keep AI inference costs in check with these seven optimization strategies.
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Businesses have AI tools. Why aren't employees using them?
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How to ensure interpretability in machine learning models
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AI turns data center power into an enterprise challenge
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Enterprise Artificial Intelligence Basics
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Get Started
When orbital AI data centers become business reality
Shrinking launch costs, hyperscaler validation, serviceable hardware, manageable insurance risks and earthly energy constraints will thrust data centers into orbit and beyond.
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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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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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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.
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