Services

AWS provides a broad spectrum of AI services and tools, including:

• Amazon SageMaker: A comprehensive platform for building, training, and deploying ML models[4][5]. It supports the entire ML workflow, offering features like autopilot for automated algorithm selection and seamless integration with other AWS services[4].
• Amazon Bedrock: Offers a variety of foundation models, including Amazon Titan[2].
• Amazon Rekognition: Adds image and video analysis capabilities to applications, identifying objects, people, text, scenes, and activities[1][3].
• Amazon Lex: Enables the creation of conversational interfaces like chatbots[1][3].
• Amazon Comprehend: Uses natural language processing to extract insights from text[1][3].
• Amazon Transcribe: Converts speech to text[1][3].
• Amazon Translate: Provides real-time language translation[1].
• Amazon Polly: Turns text into lifelike speech[1][3].
• Amazon Personalize: Enables personalized recommendations using ML technology[1].
• Amazon Textract: Automates text and data extraction from scanned documents[1].
• Amazon Kendra: Adds natural language search capabilities to applications[1].
• Amazon Fraud Detector: Identifies potentially fraudulent online activities[1].
• Amazon CodeGuru: Automates code reviews and identifies expensive lines of code[1][2].
• Amazon DevOps Guru: Detects abnormal operating patterns using ML[2][3].
• AWS HealthLake: Securely stores, transforms, and analyzes health data[2][3].
• Amazon Q: An AI assistant to get fast, relevant answers, generate content, and take actions[2][6][8].

AWS also provides specialized AI infrastructure and a data foundation to support various AI workloads[5]. They offer services like Amazon Augmented AI (A2I) for human review of ML predictions[2][3].