IBM AI Modeling

IBM AI Modeling

SPSS Modeler started in the 1990s as Clementine, one of the first tools to offer a drag-and-drop interface for building predictive models. it made data mining more accessible by letting users work visually instead of writing code. Over time, it was acquired by SPSS Inc., and later by IBM, evolving into the powerful canvas-based tool we know today, widely used across industries for machine learning and data science.

Client

IBM SPSS MODELER

DELIVERABLES

UI/UX BRANDING SYSTEMS DESIGN

Year

2022

Role

SENIOR DESIGN LEAD

UI/UX Software

SPSS Modeler started in the 1990s as Clementine, one of the first tools to offer a drag-and-drop interface for building predictive models. it made data mining more accessible by letting users work visually instead of writing code. Over time, it was acquired by SPSS Inc., and later by IBM, evolving into the powerful canvas-based tool we know today, widely used across industries for machine learning and data science.

SPSS Modeler started in the 1990s as Clementine, one of the first tools to offer a drag-and-drop interface for building predictive models. it made data mining more accessible by letting users work visually instead of writing code. Over time, it was acquired by SPSS Inc., and later by IBM, evolving into the powerful canvas-based tool we know today, widely used across industries for machine learning and data science.

Intro to IBM AI Modeling

This video goes over the basis of AI modeling in watosnx.ai

Intro to IBM AI Modeling

This video goes over the basis of AI modeling in watosnx.ai

This video goes over the basis of AI modeling in watosnx.ai

SPSS Modeler’s canvas ergonomics were improved by implementing smart auto-layout, contextual zoom and pan, enhanced drag-and-drop feedback, semantic grouping with collapsible flows, better touch and accessibility support, and undo/redo functionality, making model building faster, clearer, and more intuitive.

Canvas Research
Canvas Research

SPSS Modeler’s canvas ergonomics were improved by implementing smart auto-layout, contextual zoom and pan, enhanced drag-and-drop feedback, semantic grouping with collapsible flows, better touch and accessibility support, and undo/redo functionality, making model building faster, clearer, and more intuitive.