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What is Spatialedge?

An innovative AI toolkit encompasses the SE data platform, proven methodologies, and a dedicated group of highly proficient specialists. This comprehensive toolkit not only streamlines but also accelerates the creation of customized enterprise AI solutions that yield substantial business benefits. Our knowledgeable team is ready to help you manage and unify all the data across your organization. By dismantling data silos, we transform disparate information into actionable data assets and establish robust feature stores to empower your data scientists. We will assist you in focusing on the development of the most impactful machine learning (ML) models and executing effective proof-of-concept projects to forge strong business cases. Our strategy incorporates the design of high-performance ML models that can be effortlessly deployed and integrated within your existing frameworks. Should your organization already possess a data science team, our offerings will enhance their capabilities, refining your machine learning engineering practices and improving your overall workflows for superior results. This collaborative methodology not only ensures that your AI projects are in harmony with your business objectives but also drives tangible outcomes that can be measured and evaluated over time. Ultimately, our goal is to foster a sustainable AI ecosystem that continuously evolves alongside your organization's needs.

What is IBM SPSS Modeler?

IBM SPSS Modeler stands out as a premier visual data-science and machine-learning platform, aimed at assisting businesses in speeding up their realization of value by automating routine tasks typically handled by data scientists. Organizations globally utilize this tool for various functions, including data preparation, exploration, predictive analytics, and the management and deployment of models. Additionally, machine learning capabilities are leveraged to extract value from data assets. By optimizing data into the most suitable formats, IBM SPSS Modeler enhances the accuracy of predictive modeling. Users can efficiently analyze data with just a few clicks, pinpoint necessary corrections, filter out irrelevant fields, and generate new features. The software's robust graphics engine plays a crucial role in visualizing insights effectively, while the intelligent chart recommender feature identifies the most suitable charts from an extensive selection to effectively communicate findings. This streamlined approach not only simplifies data analysis but also fosters a deeper understanding of business trends.

Media

Media

Integrations Supported

Apache Spark
Hadoop
IBM SPSS Amos
IBM SPSS Statistics
Python
R
TensorFlow
icCube

Integrations Supported

Apache Spark
Hadoop
IBM SPSS Amos
IBM SPSS Statistics
Python
R
TensorFlow
icCube

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spatialedge

Date Founded

2016

Company Location

South Africa

Company Website

spatialedge.co.za

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/spss-modeler

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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