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The 2026 IBM Guide to AI

By Amanda Downie, Cole Stryker, Dave Bergmann and Mark Scapicchio

Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy. To fully benefit from AI, it’s important to first understand how it works, the types of AI available, the necessary management and governance, potential use cases and industry applications.

This comprehensive guide to AI is here to help you gain this understanding. In the guide, you will find a collection of AI-related content such as educational explainers, leading expert insights, hands-on tutorials, podcast episodes and more.

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What is AI?
Get an overview of AI terminology, principles, processes and governance. Learn how AI has evolved and what use cases are prevalent today.
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Guide to machine learning
Gain in-depth knowledge about machine learning techniques, generative AI, MLOps, model training and the data science related to machine learning (ML) with this comprehensive collection of educational explainers, hands-on tutorials, podcast episodes and more.
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Guide to AI agents
Gain in-depth knowledge about the components, architecture, protocols, governance and use cases related to AI agents with this comprehensive collection of educational explainers, hands-on tutorials, podcast episodes and more.
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Go further with AI

Enterprise AI
Explore the integration of AI-enabled technologies and techniques within large organizations, from transformation strategy to adoption and orchestration.
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Responsible AI
Explore the set of principles and practices that help guide the design, development, deployment and use of AI.
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AI for code
In this section, explore AI code generation, AI software development, vibe coding and more.
Explore AI code generation
Chatbots
Dive into the world of AI chatbots including its types, benefits and use cases.
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AI platforms
Get to know different AI platforms and the criteria you can use to pick between them.
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AI theory
Explore advanced AI paradigms, from AGI and strong AI to sentient systems and superintelligence.
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Guide to prompt engineering
Unlock the full potential of AI with this one-stop solution for learning the art of prompting.
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Use cases
What are the best business uses for AI? Discover where and how AI is making a difference in customer service, HR, sales, marketing and more.
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Industry applications
Learn more about AI impact in key industries including banking, fintech, healthcare, retail and telecommunications.
Explore AI in banking
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Authors

Amanda Downie

Staff Editor

IBM Think

Cole Stryker

Staff Editor, AI Models

IBM Think

Dave Bergmann

Senior Staff Writer, AI Models

IBM Think

Mark Scapicchio

Editor, Topics & Insights

IBM Think

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