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AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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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.
Why enterprise AI needs diagnostic intelligence
Enterprise AI detects anomalies but can't always explain why they happen. Next up for these systems is a focus on diagnosis to enhance trust, compliance and safety.
GenAI is ready for more autonomy, but supply chains are not
Disruptions, vulnerabilities, late deliveries and customer interactions are among the supply chain concerns that GenAI could address autonomously -- if businesses can trust it.
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AI Infrastructure Evaluate
Time to rethink cloud architecture for enterprise AI
Enterprise AI systems demand cloud architectures that emphasize persistent state, governance and adaptive infrastructure to ensure long-term reliability.
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AI Technologies
Why enterprise AI needs diagnostic intelligence
Enterprise AI detects anomalies but can't always explain why they happen. Next up for these systems is a focus on diagnosis to enhance trust, compliance and safety.
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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 Get Started
AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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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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Articlficial Intelligence
AI-Powered Devices: The Fourth Wave of Enterprise Computing
Enterprise computing enters its fourth wave as client devices transform from passive endpoints to intelligent AI systems. Modern laptops, desktops, and mobile devices now feature built-in NPUs and AI accelerators that bring artificial intelligence directly to where work happens. This shift creates distributed intelligence networks where every device anticipates user needs, optimizes workflows, and collaborates autonomously. Organizations gain enterprise AI at scale, transforming employees into human AI agents with unprecedented access to contextual, personalized computing experiences. The future of work is here—powered by intelligent devices that don't just access AI, but embody it.
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AWS for Software Companies
Join thousands of software companies who trust AWS to power their rapid and secure growth through cloud services that can help you scale fast and innovate.
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Artificial Intelligence
Cisco AI-Ready Data Center Insights Hub: Your Gateway to Industry Expertise
Welcome to the Computing and AI Insights Hub, your one-stop resource for staying ahead in the world of compute, data center and AI. Here, you'll find a curated collection of valuable content, including analyst reports, on-demand webinars, industry-leading eBooks, and other resources designed to empower your decision-making and drive innovation. Whether you're exploring the latest trends or seeking actionable insights, our Insights Hub is open to help you navigate the future of compute with confidence. Dive in and explore.
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Time to rethink cloud architecture for enterprise AI
Enterprise AI systems demand cloud architectures that emphasize persistent state, governance and adaptive infrastructure to ensure long-term reliability.
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Businesses face complex cost-cutting options with GenAI
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GenAI's role in a return trip to the moon and beyond
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5 questions every CIO should ask before investing in AI
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Problem Solve
Smarter robots: Agentic and physical AI converge in business
The robotics industry is entering a new era where, thanks to AI, robots learn, optimize and solve the world's most complex supply chain, logistics and labor challenges in real time.
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C-suite shakeup: Demand for chief AI officers accelerates
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GenAI streamlines enterprise knowledge management process
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AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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How to preprocess different types of data for AI workloads
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Build accountability into AI to drive business value
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Q&A: Prioritize AI adoption while safeguarding human skills
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Enterprise Artificial Intelligence Basics
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Get Started
AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help.
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Get Started
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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Get Started
GenAI's role in a return trip to the moon and beyond
NASA's use of GenAI models in the Artemis space program and communication with Mars rovers provides valuable business lessons in governance and keeping humans in the loop.
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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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AI technologies
Can tokenization free up more data for AI model training?
Research from Capital One Software and PwC suggests enterprises can tap sensitive data to train AI models while balancing predictive power and privacy.
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