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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DMway is revolutionizing the field of data science by offering an innovative autonomous predictive analytics platform. This AI-driven and machine learning-enhanced solution empowers subject matter experts—who may not have a scientific background—to develop their own predictive models in just a matter of hours or days, a significant reduction compared to the traditional model creation process that often spans several months. The DMway Analytics platform is both adaptable and applicable across various industries, making it a versatile choice for numerous sectors. With its flexible and scalable design, clients from diverse fields such as banking, media, and academia can leverage this powerful tool. It’s a common misconception among businesses that merely gathering large volumes of data equates to generating value, but the reality is that the true worth lies not in the data size but in its effective utilization. Ultimately, the algorithms derived from big data represent the real treasure, as they drive actionable insights. DMway empowers non-scientists to harness the capability of creating predictive analytics, allowing them to unlock valuable insights from their data. This approach not only democratizes data science but also fosters innovation across various industries.

Description

Machine learning reveals concealed patterns and valuable insights within enterprise data, ultimately adding significant value to businesses. Oracle Machine Learning streamlines the process of creating and deploying machine learning models for data scientists by minimizing data movement, incorporating AutoML technology, and facilitating easier deployment. Productivity for data scientists and developers is enhanced while the learning curve is shortened through the use of user-friendly Apache Zeppelin notebook technology based on open source. These notebooks accommodate SQL, PL/SQL, Python, and markdown interpreters tailored for Oracle Autonomous Database, enabling users to utilize their preferred programming languages when building models. Additionally, a no-code interface that leverages AutoML on Autonomous Database enhances accessibility for both data scientists and non-expert users, allowing them to harness powerful in-database algorithms for tasks like classification and regression. Furthermore, data scientists benefit from seamless model deployment through the integrated Oracle Machine Learning AutoML User Interface, ensuring a smoother transition from model development to application. This comprehensive approach not only boosts efficiency but also democratizes machine learning capabilities across the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In

Integrations

Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DMWay Analytics

Founded

2014

Country

Israel

Website

dmway.com

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-science/machine-learning/

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Product 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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