Automation

Learn to test, benchmark, and optimize AI agents with a structured evaluation framework, automated workflows, and performance metrics for reliable results.

Build a scheduled agentic workflow in watsonx Orchestrate using Python tools, custom agents, and automated email notifications for efficient daily task automation.

Discover how AMA Dev Tools help developers modernize legacy Java apps faster with automation, migration tools, and IDE integration.

Automate SOC audits with SAGE using agentic AI, QRadar, and watsonx Orchestrate for faster evidence collection, compliance, and reduced analyst workload.

Learn to automate IBM Maximo workflows using Python and watsonx Orchestrate ADK. Fetch assets, create service requests, and streamline Maximo tasks efficiently.

In this tutorial, learn how to set up continuous optimization from IBM Turbonomic in your HashiCorp Terraform environments.

What is messaging and why is it useful when developing applications? How does it differ from APIs, and where do events fit in? How can messaging improve your microservices applications? Get the answers to these questions and more by reading the following articles in this Messaging Fundamentals learning path.

Learn how AI in z/OS enhances batch processing by predicting workload spikes, optimizing initiators, improving performance, and reducing delays.

Build an AI-powered workflow to extract data from scanned blood reports using Docling, CrewAI, and AI Agents to predict chronic kidney disease (CKD).

Use an AI interface to automate complex workflows across IBM QRadar, IBM Verify, and IBM Guardium platforms using natural language queries.