How do AI and machine learning services differ, and what are some notable examples of these service

AI (Artificial Intelligence) and machine learning are closely related fields, but they serve distinct purposes within the realm of technology. Let's explore the differences and highlight some notable examples of services in both categories. 1. Artificial Intelligence (AI): Description: AI is a broader concept encompassing machines or systems that can perform tasks that typically require human intelligence. It involves the simulation of human cognitive functions such as learning, reasoning, problem-solving, perception, and language understanding. 2. Machine Learning (ML): Description: Machine Learning is a subset of AI focused on developing algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. It involves the creation of models that can make predictions or decisions based on patterns discovered in the data. Notable Examples: IBM Watson: Type: AI Service Description: IBM Watson is a comprehensive AI platform that incorporates machine learning capabilities. It spans various applications, including natural language processing, computer vision, and data analytics. Amazon AI Services: Type: AI and ML Services Description: Amazon offers a suite of AI services, including Amazon Polly for text-to-speech, Amazon Rekognition for image and video analysis, and Amazon Comprehend for natural language processing. These services leverage both AI and machine learning technologies. Azure Cognitive Services (Microsoft): Type: AI Services Description: Microsoft's Azure Cognitive Services provide a range of AI capabilities, including computer vision, speech recognition, and language understanding. These services enable developers to integrate AI features into their applications. Google Cloud AI: Type: AI and ML Services Description: Google Cloud AI offers a variety of services, such as Google Cloud Vision API for image analysis, Google Cloud Natural Language API for text analysis, and Google Cloud AutoML for custom machine learning model development. TensorFlow (Google): Type: Machine Learning Service Description: TensorFlow is an open-source machine learning library and framework developed by Google. While it's widely used for building and training machine learning models, it's not an AI service in itself. However, it's often used within AI applications. In summary, AI is the overarching concept, and machine learning is a specific approach within the AI domain. Many services and platforms seamlessly integrate both AI and machine learning to provide diverse solutions for businesses and developers. https://www.appsierra.com/servic...