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EU AI Act compliance deadline is here: What to watch
The EU AI Act's high-risk compliance deadlines have been delayed, but August 2 remains important. Here's what enterprises need to know about enforcement, governance and what comes next.
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AI breathes new life into IBM mainframes
Often seen as the mammoths of IT shops well past their time, mainframes injected with AI are finding new opportunities for the massive data residing in the belly of the beast.
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Questions to ask when evaluating AI-ready data center providers
AI growth exposes data centers to power limits, cooling issues, water scarcity and regulatory pressure. Explore the key questions to raise with vendors.
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The best AI governance tools and platforms in 2026
AI governance has become a boardroom priority. These tools and platforms can help leaders fulfill AI governance mandates.
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AI Infrastructure Evaluate
Essential metrics for AI hardware management
AI infrastructure requires monitoring compute, network, storage and business metrics to optimize performance, prevent bottlenecks and manage costs.
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AI Technologies News
EU AI Act compliance deadline is here: What to watch
The EU AI Act's high-risk compliance deadlines have been delayed, but August 2 remains important. Here's what enterprises need to know about enforcement, governance and what comes next.
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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
How to manage the gap between enterprise AI use and AI regulation
Companies are deploying AI across their organizations faster than lawmakers are building consistent rules to govern it, leaving CIOs to navigate an expanding patchwork of state requirements.
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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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Cloud Computing
Building AI infrastructure with Google and AMD
Google and AMD combine forces to set a new standard in performance and cost efficiency across all your workloads, delivering unmatched computing excellence.
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Innovation
AWS and SAP AI Co-Innovation Program: Accelerate your business transformation with purpose-built industry AI solutions from AWS and SAP
The AWS and SAP AI Co-Innovation Program is a joint initiative between SAP and AWS designed to help organizations transform their business processes using generative AI. The program offers structured guidance from ideation to full-scale deployment, leveraging the combined capabilities of SAP, AWS, and GSI/ISV Partners
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Artificial Intelligence
AI Everywhere
AI is transforming how we work. The majority of data center AI inference deployments today run on Intel® Xeon® processors. Learn why Intel® AI is the most trustworthy
Find Solutions For Your Project
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Evaluate
Essential metrics for AI hardware management
AI infrastructure requires monitoring compute, network, storage and business metrics to optimize performance, prevent bottlenecks and manage costs.
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AI breathes new life into IBM mainframes
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Questions to ask when evaluating AI-ready data center providers
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The quantum technologies that will transform enterprise IT
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Problem Solve
How to manage the gap between enterprise AI use and AI regulation
Companies are deploying AI across their organizations faster than lawmakers are building consistent rules to govern it, leaving CIOs to navigate an expanding patchwork of state requirements.
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When orbital AI data centers become business reality
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AI and robotics yield bumper crops down on the farm
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AI scaling is where most companies stall. Here's why
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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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AI turns data center power into an enterprise challenge
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Controlling AI models is harder than building them
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Enterprise Artificial Intelligence Basics
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Get Started
AI breathes new life into IBM mainframes
Often seen as the mammoths of IT shops well past their time, mainframes injected with AI are finding new opportunities for the massive data residing in the belly of the beast.
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Get Started
The best AI governance tools and platforms in 2026
AI governance has become a boardroom priority. These tools and platforms can help leaders fulfill AI governance mandates.
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Get Started
Virtual power plants could help solve the AI energy problem
Virtual power plants can help enterprises and data centers overcome power limitations by unifying energy resources to stabilize grids, reduce costs and ensure energy availability.
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Vendor Resources
- From Code to Production –Analyst Report
- Teams Desire Consolidation but Need Specialized Protection –eBook
- The DevOps Roadmap for Security –eBook
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AI technologies
EU AI Act compliance deadline is here: What to watch
The EU AI Act's high-risk compliance deadlines have been delayed, but August 2 remains important. Here's what enterprises need to know about enforcement, governance and what comes next.
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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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