AI Today Podcast: AI Education Series: Applications of AI
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AI Patterns
Understanding AI patterns is crucial for effectively applying AI technologies. Kathleen Walch and Ron Schmelzer explain that while different AI applications like chatbots, recognition systems, and autonomous vehicles may use similar technologies, their specific implementations can vary significantly. They emphasize the importance of recognizing and combining the seven patterns of AI to achieve project success 1.
The seven patterns of AI can be used either individually or in a combination. And things can fall into more than just one pattern.
--- Kathleen Walch
The discussion highlights that no single pattern is more important than another, and understanding their interrelation is key to leveraging AI effectively 2.
Recognition
The recognition pattern in AI is a powerful tool for various applications. Kathleen Walch discusses examples like a skin cancer self-diagnosis app that uses image recognition to identify potential health issues. This pattern can also be combined with others, such as hyper-personalization and conversational patterns, to enhance user interactions 3.
We're going to have the recognition pattern here because I took an image, and so it's trying to recognize what's in that image.
--- Kathleen Walch
The recognition pattern's versatility makes it essential for developing complex AI systems that require accurate identification and analysis 3.
Conversational
The conversational pattern in AI facilitates human-like interactions through chatbots and voice assistants. Ron Schmelzer and Kathleen Walch explain that this pattern is integral to creating systems that can understand and respond to user inputs effectively. They highlight the importance of combining conversational patterns with other AI patterns to build more sophisticated applications 2.
One person could be talking about a chatbot, another person could be talking about a recognition system.
--- Kathleen Walch
By leveraging conversational patterns, developers can enhance user experiences and create more intuitive AI-driven solutions 1.