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IBM Cloud provides a comprehensive AI and data platform through watsonx, along with pre-built AI services for common tasks. This lesson covers the watsonx platform, Watson AI services, and how to integrate AI into your applications.
watsonx is IBM's enterprise AI and data platform, consisting of three components:
A studio for building, training, and deploying AI models:
| Feature | Description |
|---|---|
| Foundation models | Access IBM Granite models and third-party models (Meta Llama, etc.) |
| Prompt Lab | Experiment with prompts and foundation models |
| Tuning Studio | Fine-tune models with your own data |
| ML pipelines | Build and deploy traditional ML models |
| AutoAI | Automatically generate and compare ML models |
A data lakehouse for analytics and AI:
| Feature | Description |
|---|---|
| Lakehouse architecture | Combines data lake flexibility with warehouse performance |
| Open formats | Built on Apache Iceberg, Parquet, and ORC |
| Multiple engines | Query with Presto, Spark, or Db2 |
| Cost optimisation | Store data in COS (cheap), query with right-sized compute |
| Data sharing | Share data across engines without copying |
Manage AI responsibly:
| Feature | Description |
|---|---|
| Model monitoring | Track model performance, drift, and bias |
| Factsheets | Document model lifecycle and metadata |
| Compliance | Meet regulatory requirements for AI transparency |
| Risk management | Identify and mitigate AI risks |
Granite is IBM's family of foundation models, trained on enterprise-curated data:
| Model | Purpose |
|---|---|
| Granite Code | Code generation, explanation, and translation |
| Granite Language | Text generation, summarisation, classification |
| Granite Time Series | Forecasting and anomaly detection |
| Granite Embedding | Text embeddings for search and RAG |
Key advantages:
IBM Cloud provides pre-built AI services for common tasks:
Build conversational AI chatbots and virtual agents:
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