watsonx.ai

A one-stop, integrated, end- to-end AI development studio

IBM watsonx.ai is an enterprise-grade studio for developing AI services and deploying them into your applications of choice. It provides a collection of the APIs, tools, models and runtimes you need to turn your ideas and requirements into reality.

26 January 2026

Blog post

Agentic data scientists: Redefining the future of analytics

Discover the Agentic Data Scientist, a revolutionary tool that automates data science workflows using LangGraph and watsonx. Simply upload a CSV/Excel file, describe your analysis, and let the agent do the work. The AI-driven agent plans, codes, executes, reviews, and delivers results, streamlining your data science tasks with minimal human intervention.

14 August 2025

Article

What is InstructLab and why do developers need it?

InstructLab empowers developers to unleash the full potential of LLMs, offering a streamlined training process, cost-efficiency, community collaboration, and stability in model performance.

23 July 2025

Tutorial

Building AI applications with Model Context Protocol (MCP)

Model Context Protocol (MCP) represents a fundamental shift in how we build AI applications. In this comprehensive tutorial, we'll explore MCP and learn how to build a production-ready integration with IBM watsonx.ai, demonstrating how to create AI applications that can seamlessly connect to enterprise data and services.

16 June 2025

Article

Open source LLMs unlock agentic and generative AI

Learn about open source LLMs with these instructor-led sessions that showcase generative ai-based use cases to build your gen AI ecosystem.

10 June 2025

Blog post

Top 5 Python blogs, articles, or tutorials in the first half of 2025

Discover the top 5 most popular blogs, articles, and tutorials for the first half of 2025 for one of the most popular programming languages for the generative AI space: Python

23 May 2025

Tutorial

Vibe coding your way through expense reports

Learn how to automate expense reports using AI, natural language prompts, JSON, IBM watsonx.ai, large language models, and no-code vibe coding techniques.

13 May 2025

Tutorial

Building data pipelines using natural language with Data Prep Kit (DPK)

In this tutorial, we explore two experimental notebooks that demonstrate how agentic workflows can support the creation of data pipelines using the Data Prep Kit based on user input provided in natural language.

13 May 2025

Learning Path

Preparing data for an agentic workflow

05 May 2025

Tutorial

Extract text from documents using watsonx.ai TextExtraction API

Using watsonx.ai TextExtraction API, you can efficiently extract text from PDFs and other documents that are highly structured and contain information in tables. You can extract and convert to a file format that is easier to work with programmatically, such as Markdown or JSON.

29 April 2025

Article

Boosting Document Intelligence

By integrating IBM Datacap with watsonx.ai using a custom action, we unlock a new level of intelligence and flexibility in document processing. This approach not only simplifies data extraction from complex and variable document layouts but also enables dynamic behaviors, such as populating line items from structured AI output, that were previously difficult to implement without rigid templates.

24 April 2025

Tutorial

Extracting, classifying, and summarizing documents using LLMs

To build a generative AI form filling tool, you can use a large language model (LLM) to extract, classify and summarize documents. In this tutorial, we walk you through a sample application that applies these techniques to a recipe website. For this example, we used three main AI tools to perform the tasks: Docling, watsonx.ai, and Langchain.

Items per page:

1–12 of 105 items

of 9 pages

Topics

Languages

Products

Open Source

watsonx.ai

A one-stop, integrated, end- to-end AI development studio

Top 10 generative AI articles, tutorials, and learning paths in 2025

Agentic data scientists: Redefining the future of analytics

What is InstructLab and why do developers need it?

Building AI applications with Model Context Protocol (MCP)

Open source LLMs unlock agentic and generative AI

Top 5 Python blogs, articles, or tutorials in the first half of 2025

Vibe coding your way through expense reports

Building data pipelines using natural language with Data Prep Kit (DPK)

Preparing data for an agentic workflow

Extract text from documents using watsonx.ai TextExtraction API

Boosting Document Intelligence

Extracting, classifying, and summarizing documents using LLMs