Oracle Lauded for Predictive Analytics, Machine Learning Solution

Oracle has been named a leader in notebook-based Predictive Analytics and Machine Learning (PAML) solutions by Forrester Research, earning the highest average current offering score as well as the highest possible score for its solution roadmap. The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning Solutions, Q3 2018 report recognizes that Oracle Autonomous Data Science Cloud Service "provides the standardization and controls that enterprises need" and "makes it easy to put models into production by offering visual tools to create APIs with automatic load balancing." According to Forrester, PAML solutions are defined as "Software that provides enterprise data scientist teams and stakeholders with 1) tools to analyze data; 2) workbench tools to build predictive models using statistical and machine learning algorithms; 3) a platform to train, deploy, and manage analytical results and models; and 4) collaboration tools for extended enterprise teams including businesspeople, data engineers, application developers, DevOps, and AI engineers." Forrester evaluated the strengths and weaknesses of the top notebook-based PAML vendors across 24 evaluation criteria, which were grouped into three categories: current offering, strategy and market presence. Of the nine vendors Forrester evaluated, Oracle was one of the two companies recognized as a leader. "With Oracle Autonomous Data Science Cloud Service, Oracle has a winning solution for our customers to build and deploy artificial intelligence and machine learning models on the Oracle Cloud," said Greg Pavlik, Senior Vice President and Chief Technology Officer, Oracle Cloud Platform.