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What is SOMA?

Industry 4.0, Big Data, and the Internet of Things encompass a wide range of ideas related to smart, interconnected manufacturing. Softgate has launched SOMA, an advanced software solution that allows for the efficient capture, visualization, and analysis of data from production machines. The possibilities for data sources and applications are nearly limitless, as any machine capable of producing data—whether natively or through added sensors—can easily connect to SOMA. This functionality highlights the core concept behind these trending terms: the fusion of machinery with powerful IT systems. By utilizing the insights derived from the collected data, these IT platforms can uncover trends that inform predictions about equipment maintenance, product standards, and energy consumption. SOMA’s modular hardware design ensures seamless integration, applicable to both individual machines and large arrays. Moreover, a centralized data repository supports customized comparisons and assessments, which significantly enhances decision-making for both standalone machines and collections. This comprehensive strategy not only optimizes operational efficiency but also equips manufacturers with the tools needed to refine their processes and achieve greater productivity. Ultimately, SOMA represents a significant step forward in the evolution of manufacturing technology.

What is Oracle Data Science?

A productivity-boosting data science platform presents exceptional features that streamline the crafting and evaluation of advanced machine learning (ML) models. By quickly utilizing data that businesses trust, organizations can enjoy enhanced flexibility and achieve their data-centric objectives through more straightforward ML model deployment. Cloud-based solutions empower companies to efficiently discover valuable insights that can shape their strategies. The process of building a machine learning model is inherently cyclical, and this ebook thoroughly explains each phase of its development. Users can interact with notebooks to create or assess a variety of machine learning algorithms, allowing for a hands-on learning experience. Engaging with AutoML not only leads to remarkable results in data science but also enables the swift generation of high-quality models with minimal effort. Additionally, automated machine learning techniques efficiently scrutinize datasets, suggesting the most effective features and algorithms while optimizing models and clarifying their outcomes. This holistic approach guarantees that organizations can fully exploit their data, fostering innovation and facilitating well-informed decision-making. Ultimately, adopting such advanced tools can significantly transform how businesses leverage data, setting them on a path toward lasting success.

Media

Media

Integrations Supported

OCI Data Labeling
Oracle Cloud Infrastructure

Integrations Supported

OCI Data Labeling
Oracle Cloud Infrastructure

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

Softgate

Company Location

Germany

Company Website

www.soft-gate.de/en/digitalisierung-von-produktionsmaschinen/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-science/

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Science

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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