Machine learning is a subcategory of artificial intelligence. It is a technical study of data analysis that utilizes procedures and statistical representations, aiming to develop computer programs to access data and prepare it for learning. With the use of machine learning, workspaces recognize outlines within big data to make estimates. The usage of machine learning in data visualization enables organizations to restructure data so as to attain accurate and analytical datasets. Further, developments in data visualization tools have empowered data scientists to trace the data at each level of the machine learning method to gather model design, and performance.

Few notable offerings of machine learning in data visualization are listed below:

Virtualitics, Inc.

In February 2019, The company launched Virtualitics Immersive Platform to provision several use cases for varied industries. The software utilizes AI to classify key insights in the data. In contrast, visualization provides an exceptional way to characterize the data and explain AI outcomes through Virtual Reality (VR) to offer visualizations and a collaboration tool.


In September 2018, SAP SE launched the SAP analytics cloud solution, which is available with new machine learning characteristics to discover links in the company’s data and assist users to make faster decisions.


Zegami partnered with MRC Weatherall Institute for Molecular Medicines (MRC WIMM) Centre for computational biology to assist in data cleaning clean training of its machine learning models.


In October 2019, Visualization and Data Analytics (VIDA) lab, developed a framework called VisFlow, through which amateurs can create data visualizations on any data. Further, the team made a simple and intuitive model for managing these frameworks by producing an add-on of VisFlow called Flow Sense, enabling users to produce data exploration pipelines through a natural language interface.

TIBCO Software Inc.

In November 2018, the company launched TIBCO Data Science on Amazon Web Services (AWS). The release comprises several Machine Learning (ML) processes developed by TIBCO and contains models for forecasting hospital readmissions, anomaly detection, and document similarity.

The integration of data visualization and machine learning allows search engines to foresee users’ questions and make developments in available data to distribute feasible results. With such tools, along with natural language processing, companies can comprehend queries in a simpler form and deliver precise results. This allows creative visualizations to recognize businesses better.