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AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

Revisiting the Seven Patterns of AI in 2024 [AI Today Podcast]

Jan 17, 2024
The hosts discuss the importance of the seven patterns of AI and how they bring clarity to different AI applications. They also delve into the conversation and human interaction pattern, the recognition pattern, and the autonomous systems pattern in AI. In addition, they provide an overview of the seven patterns of AI and share upcoming interviews and resources for listeners.
21:57
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Quick takeaways

  • The seven patterns of AI provide a framework for understanding different types of AI systems and their objectives, helping to identify the problem they are designed to solve.
  • By employing the seven patterns of AI, stakeholders can bridge the gap in understanding, prevent misunderstandings, and effectively apply AI techniques to solve specific problems across various industries.

Deep dives

The Seven Patterns of AI: A Core Definition for AI

The podcast discusses the seven patterns of AI, which provide a framework for understanding different types of AI systems and their objectives. These patterns include conversation and human interaction, recognition, autonomous systems, hyper-personalization, pattern and anomaly detection, predictive analytics and decision support, and goal-driven systems. Each pattern focuses on solving different types of problems using AI techniques. Examples of these patterns in practice include chatbots and voice assistants in the conversation pattern, facial recognition and sound recognition in the recognition pattern, and autonomous vehicles in the autonomous systems pattern.

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