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4 types of machine learning models explained
Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the factors that go into picking and training them for a specific task.
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Setting the stage for 2026: Continuing AI pragmatism
Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.
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11 emerging technologies to watch in 2026
Technology never stands still, and 2026 could see it go full sprint. See our picks for emerging and developing technologies and tell us what tech your organization is watching.
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How generative AI is changing creative work
As generative AI accelerates concepting and production, creative teams are evolving, requiring new skills, governance models and stronger human insight to guide meaningful work.
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AI Infrastructure Get Started
Optimizing hybrid cloud architecture for AI workloads
Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?
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AI Technologies Evaluate
11 emerging technologies to watch in 2026
Technology never stands still, and 2026 could see it go full sprint. See our picks for emerging and developing technologies and tell us what tech your organization is watching.
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AI Platforms Evaluate
Microsoft Copilot vs. Google Gemini: How do they compare?
Microsoft Copilot and Google Gemini are frontrunners in the generative AI productivity tools space. Compare how they differ in terms of key features, capabilities and pricing.
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ML Platforms Get Started
4 types of machine learning models explained
Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the factors that go into picking and training them for a specific task.
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AI Business Strategies Evaluate
Setting the stage for 2026: Continuing AI pragmatism
Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.
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Applications of AI Evaluate
How generative AI is changing creative work
As generative AI accelerates concepting and production, creative teams are evolving, requiring new skills, governance models and stronger human insight to guide meaningful work.
Sponsored Sites
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Artificial Intelligence
AWS Gamechangers
AWS Gamechangers showcases partners and customers who are transforming industries through generative AI. Celebrate the visionaries who are pushing the boundaries of what's possible.
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Artificial Intelligence
AWS and Deloitte
Your potential is our purpose. Innovation is not just about generating ideas; it’s about realizing your potential through solutions that spark real progress. The Deloitte AWS alliance brings together two world-leading organizations, putting best-in-class talent, vast industry experience, broad capabilities, and the resources to invest deeply in innovation, at the service of our clients’ most pressing problems. Together, we empower you to navigate the future confidently and turn potential into business outcomes.
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Networking
Verizon Private 5G Edge - Enterprise Intelligence
Verizon is leading the development of secure cloud computing power at the edge of the network. Hosting applications at the network edge helps improve response times and performance – enabling the faster collection, processing and analysis of data for better business outcomes, and true Enterprise Intelligence.
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Setting the stage for 2026: Continuing AI pragmatism
Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.
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11 emerging technologies to watch in 2026
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How generative AI is changing creative work
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The future of generative AI: 10 trends to follow in 2026
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Problem Solve
Integrate and modernize legacy systems with AI
Complete replacement of, or over-reliance on, legacy systems can be disastrous. Organizations that modernize gradually will thrive in markets where AI is vital.
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Strategies to reduce machine learning bias
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3 enterprise AI horror stories for CISOs from 2025
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Agentic AI architecture: An enterprise guide
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Manage
How to prepare your business for agentic AI adoption
Agentic AI adoption can go awry without a clear plan in place. Use this guide to ensure AI agents are deployed correctly and optimized for successful business outcomes.
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10 AI topics for 2026 that enterprise leaders need to know
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AI regulation: What businesses need to know in 2026
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9 top generative AI tool categories for 2026
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Enterprise Artificial Intelligence Basics
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Get Started
Optimizing hybrid cloud architecture for AI workloads
Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?
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Get Started
4 types of machine learning models explained
Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the factors that go into picking and training them for a specific task.
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Get Started
9 top generative AI tool categories for 2026
Agentic systems and AI data centers are driving forces shaping the development of GenAI tools and frameworks to build LLMs, orchestrate processes and integrate physical AI.
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AI business strategies
AI's impact on Google search engine antitrust ruling
While some believe the ruling was too light, it does emphasize the role of GenAI vendors as competitors in the market.
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Artificial intelligence platforms
Anthropic announces $13B fundraise, $183B valuation
While the vendor's valuation is still far away from OpenAI's, investors still have confidence in the vendor -- especially as it focuses on enterprise safety and coding.
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AI technologies
The implications of OpenAI's speech model gpt-realtime
While the new model is beneficial for the expressiveness of voices, it also shows how blurry the lines are between human and AI voices.
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