Data science

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.

Predictive analytics pipelines empower teams to move from reactive to proactive operations. Developers must architect these systems to be efficient, transparent, and adaptable. By understanding the end-to-end flow of data, from raw data ingestion, through preprocessing and feature engineering, to PCA, to model deployment and prediction, developers can build solutions that provide valuable foresight, such as predicting employee stress before it impacts productivity.

Look at two ways to build predictive models, both with and without the help of AutoAI.

Get hands-on experience and learn important techniques for preparing your data for analysis. Then, learn how to gain a better understanding of your data through exploratory data analysis.

Get hands-on experience and learn important techniques for preparing your data for analysis. Then, learn how to gain a better understanding of your data through exploratory data analysis.

Build your data science skills with R and SQL. Master the ability to transform data into information and insights.

Explore IBM RAG DA to deploy secure, scalable, and customizable Retrieval Augmented Generation solutions with AI, Watsonx, and generative AI technologies.

Learn how to update a RAG chatbot knowledge base with new documents in IBM Cloud to improve real-time accuracy and enhance chatbot performance.

Learn how to deploy Retrieval-Augmented Generation with ElasticSearch Platinum and Red Hat OpenShift on IBM Cloud for scalable GenAI applications.

Discover how RAG Deployable Architecture on IBM Cloud maximizes Gen AI deployment speed, security, and compliance for enterprise solutions.