Uncovering AWS’s Hidden AI Gems: Beyond SageMaker and Bedrock

When we think about AI/ML on AWS, SageMaker and Bedrock are often the first services to come to mind. And for good reason—they’re the Swiss Army knives of machine learning, offering versatile platforms for training and deploying models.

But what about the niche AWS AI services that solve highly specific problems? These hidden gems might not always be front and center, but they deliver immense value in their respective domains. Lets dig into 10 services by highlighting their domain, purpose, capabilities and categories

1. Vision

Service: Amazon Rekognition
Purpose: Image and video analysis.

Capabilities:

• Facial recognition and sentiment detection.

• Object and scene identification.

Category: Computer Vision / Image Processing.

More info here 

2. Document Processing

Service: Amazon Textract
Purpose: Extract text and structured data from documents.

Capabilities:

• Optical Character Recognition (OCR).

• Extraction of key-value pairs, tables, and forms.

Category: Document Understanding / Text Processing.

More info here

3. Speech

Service: Amazon Polly
Purpose: Converts text to lifelike speech.

Capabilities:

• Neural and standard text-to-speech.

• Custom voice options.

Category: Text-to-Speech (TTS).

More info here

Service: Amazon Transcribe
Purpose: Converts speech to text.

Capabilities:

• Automatic speech recognition (ASR).

• Speaker identification and custom vocabularies.

Category: Speech-to-Text (STT).

More info here

4. Conversational AI

Service: Amazon Lex
Purpose: Build conversational interfaces for chatbots and voice-driven applications.

Capabilities:

• Automatic Speech Recognition (ASR) for converting speech to text.

• Natural Language Understanding (NLU) for intent recognition and slot filling.

• Real-time, interactive voice and text conversations.

Category: Conversational AI / Voice and Chat Interfaces.

More info here

5. Natural Language Processing

Service: Amazon Comprehend
Purpose: Extract insights from unstructured text data.

Capabilities:

• Sentiment analysis (e.g., positive, negative).

• Entity recognition (e.g., names, dates).

• Keyphrase extraction and topic modeling.

• Custom entity recognition and classification.

Category: Natural Language Processing / Text Analytics.

More info here

6. Language

Service: Amazon Translate
Purpose: Translates text between languages.

Capabilities:

• Neural machine translation.

• Real-time and batch translation.

Category: Language Translation.

More info here

7. Time-Series Forecasting

Service: Amazon Forecast
Purpose: Predict future outcomes using time-series data.

Capabilities:

• Demand forecasting.

• Inventory management.

• Uses machine learning to generate accurate predictions.

Category: Predictive Analytics / Time-Series Analysis.

More info here

8. Personalization

Service: Amazon Personalize
Purpose: Deliver real-time personalized recommendations for products, content, or services.

Capabilities:

• Personalized recommendations for individual users.

• Search ranking optimization for relevance.

• User segmentation for targeted marketing campaigns.

Category: Recommendation Systems.

More info here

9. Fraud Detection

Service: Amazon Fraud Detector
Purpose: Detect online fraud using machine learning.

Capabilities:

• Identifies suspicious activities like payment fraud or account takeovers.

• Integrates with custom rules and user data for tailored fraud detection.

• Provides real-time or batch detection.

Category: Fraud Prevention / Risk Management.

More info here

Summary Classification Table

These specialized services cater to unique use cases that often go unnoticed in the shadow of larger platforms like SageMaker. With AWS continuously expanding its offerings, there are likely even more niche AI-related services out there waiting to be explored.

Which of these services have you used or are excited to try? Let’s discuss!