See what's new with IBM SPSS Modeler 18.4
See what's new with IBM SPSS Modeler 18.4 Read the blog post
From drag-and-drop data exploration to machine learning
SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
SPSS Modeler is also available within IBM Cloud Pak for Data, a containerized data and AI platform that enables you to build and run predictive models anywhere — on any cloud and on premises. IBM Cloud Pak for Data as a Service enables you to run Modeler flows on the public cloud. You can try it today at no cost with no download required.
- Take advantage of open source-based innovation, including R or Python.
- Empower data scientists of all skills — programmatic and visual.
- Explore a hybrid approach — on premises and in the public or private cloud.
- Start small and scale to an enterprise-wide, governed approach.
Build and run AI models on any cloud or on premises.
Go live in days, not months or weeks
Start with GUI-based data science and machine learning algorithms.
Boost data science team productivity
Empower coders, non-coders and analysts.
Scale with peace of mind
Start small and expand with enterprise-class security and governance.
Product news: IBM SPSS Modeler
What's new with IBM SPSS Modeler 18.4
Introducing SPSS Modeler 18.4, Collaboration & Deployment Services 8.4 and Analytic Server 3.4
Read how SPSS Modeler was used to help reduce manufacturing defect rates at Kyocera Corporation
Datasheet: SPSS Modeler
Explore how SPSS Modeler helps customers accelerate time to value with visual data science and machine learning.
Better customer service
Learn how Banca Alpi Marittime improved customer service and saved costs using an AI-powered approval engine backed by IBM SPSS Modeler.
Richer customer insights
Redcats Group gained a 122% marketing ROI using predictive analytics in a big data environment. Find out how.
Boost factory yield
Read how SPSS Modeler helped Kyocera Corporation achieve a 6% increase in yield by reducing defects.
Uses SPSS Modeler to create, package and automate analytical processes to deliver solutions that help users benefit from AI without code
Combines its Euclid forecasting engine with SPSS Modeler to help drive accuracy improvements and power the Galileo demand planning solution
Leverages the new data.world extension with SPSS Modeler for exporting data sets between data.world and SPSS Modeler