This document discusses climbing the AI ladder and preparing data for artificial intelligence. It notes that 81% of organizations do not yet understand the data required for AI. The first step in the ladder is to ensure data is properly structured and accessible. Future steps include applying machine learning everywhere, scaling insights on demand, and building a trusted analytics foundation. The document promotes IBM tools for data science, machine learning, and building a Hadoop data platform to analyze large volumes and varieties of data. It presents a vision of enabling SQL queries of all data, provisioning data as a utility, and using DevOps practices for data science.