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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.
Manage
Managing drift in AI models and data
The training data and algorithms used to build AI models have a shelf life. Detecting and correcting model drift ensures that these systems stay accurate, relevant and useful.
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Overcome roadblocks to GenAI adoption and unlock ROI
GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success.
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Open source AI: What it means for enterprise innovation
Open source AI is transforming enterprise innovation with greater flexibility and control, but organizations must address governance, security and operational challenges to scale effectively.
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AI Infrastructure Evaluate
Open source AI: What it means for enterprise innovation
Open source AI is transforming enterprise innovation with greater flexibility and control, but organizations must address governance, security and operational challenges to scale effectively.
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AI Technologies News
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.
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AI Platforms Evaluate
What Nvidia's $78B quarter tells you about enterprise AI
Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.
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ML Platforms Get Started
Regression in machine learning: A crash course for engineers
Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries.
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AI Business Strategies News
Overcome roadblocks to GenAI adoption and unlock ROI
GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success.
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Applications of AI Get Started
Time for AI: The 'too busy' problem is a software-age hangover
Higher education must prioritize enterprise AI as a strategic shift, not just tool buying. Learn how governance, alignment and a five-year plan can transform institutions.
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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 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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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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Overcome roadblocks to GenAI adoption and unlock ROI
GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success.
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Open source AI: What it means for enterprise innovation
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AI ethical red flags businesses must avoid
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LLM build vs. buy: A decision framework for LLM adoption
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Problem Solve
Businesses face complex cost-cutting options with GenAI
Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities.
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GenAI's role in a return trek to the moon and beyond
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Smarter robots: Agentic and physical AI converge in business
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Is GenAI villain and hero in data center power drama?
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Managing drift in AI models and data
The training data and algorithms used to build AI models have a shelf life. Detecting and correcting model drift ensures that these systems stay accurate, relevant and useful.
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7 best practices to avoid AI vendor lock-in
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AI risk management: A strategic guide for enterprise leaders
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How to preprocess different types of data for AI workloads
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Enterprise Artificial Intelligence Basics
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Overcome roadblocks to GenAI adoption and unlock ROI
GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success.
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Get Started
FinOps can manage AI computing costs, experts say
FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs.
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History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools.
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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.
-
AI business strategies
U.S. federal AI framework deemed aspirational, noncommittal
The latest executive order is a step toward federal AI regulation. But it's largely noncommittal and shifts most responsibility to Congress, creating an interesting midterm dynamic.
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AI technologies
How simulations and digital twins are advancing robotics
Nvidia GTC 2026 showed the potential of robotics across industries. But these systems must undergo stress testing, and digital twins and simulation are the key.
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