AWS AI & Machine Learning
Amazon Comprehend
Natural language processing to find sentiment, entities and topics in text.
What it is used for
- Review analysis
- Ticket classification
- PII detection in text
Equivalent on Google Cloud
The closest Google Cloud service is Natural Language AI: analyses text for sentiment, entities, syntax and categories.
How DomainHostly helps with Amazon Comprehend
- Plan: choose the right setup, size and region for your workload and budget.
- Set up securely: configure Amazon Comprehend with least-privilege access, encryption and backups where they apply.
- Migrate: move from shared hosting, your own servers or the other cloud with minimal downtime.
- Run and optimise: monitoring, updates and regular cost reviews so you only pay for what you use.
AI & Machine Learning: Generative AI, model training and hosting, and ready-made AI for vision, speech and language.
What to consider: AI & Machine Learning
- Start with a ready-made model or API before training your own; it is faster and usually cheaper.
- Keep personal and confidential data out of prompts unless your setup guarantees how it is stored and used.
- Measure quality on your own examples and set usage limits so costs cannot run away.
Related services: AI & Machine Learning
- Amazon Bedrock (AWS)
- Amazon SageMaker (AWS)
- Amazon Q (AWS)
- Amazon Rekognition (AWS)
- Amazon Textract (AWS)
- Amazon Transcribe (AWS)
- Vertex AI (Google Cloud)
- Gemini for Google Cloud (Google Cloud)
- Vertex AI Search & Recommendations (Google Cloud)
- Vision AI (Google Cloud)