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What is PureMind?
The integration of artificial intelligence (AI) and computer vision is vital for advancing manufacturing sectors by training systems that ensure product quality, directing robots for safe autonomous movement, and utilizing cameras to analyze retail traffic, recognize different vehicle types and colors, identify food items in refrigerators, or create 3D models from video recordings. These sophisticated technologies also employ algorithms for predicting sales, revealing connections between various metrics and publications, and driving business growth, while classifying customers for personalized offers, interpreting and visualizing data, as well as extracting significant information from both text and video formats. A variety of techniques, including data mining, regression analysis, classification, correlation, and cluster analysis, in conjunction with decision trees and predictive models, are harnessed along with neural networks to enhance results. Moreover, text analysis incorporates tasks such as classification, understanding, summarization, auto-tagging, named-entity recognition, and sentiment analysis, while also enabling text similarity comparisons, dialog systems, and question-answering mechanisms. Additionally, image and video processing capabilities are bolstered through detection, segmentation, recognition, recovery, and the creation of novel visual content, highlighting the extensive potential of AI across diverse fields. This wide-ranging implementation of AI not only optimizes operations but also paves the way for fresh opportunities in innovation and efficiency, making it an indispensable asset for numerous industries. As a result, embracing these technologies can significantly transform and elevate the standards of operational excellence.
What is Oracle Machine Learning?
Machine learning uncovers hidden patterns and important insights within company data, ultimately providing substantial benefits to organizations. Oracle Machine Learning simplifies the creation and implementation of machine learning models for data scientists by reducing data movement, integrating AutoML capabilities, and making deployment more straightforward. This improvement enhances the productivity of both data scientists and developers while also shortening the learning curve, thanks to the intuitive Apache Zeppelin notebook technology built on open source principles. These notebooks support various programming languages such as SQL, PL/SQL, Python, and markdown tailored for Oracle Autonomous Database, allowing users to work with their preferred programming languages while developing models. In addition, a no-code interface that utilizes AutoML on the Autonomous Database makes it easier for both data scientists and non-experts to take advantage of powerful in-database algorithms for tasks such as classification and regression analysis. Moreover, data scientists enjoy a hassle-free model deployment experience through the integrated Oracle Machine Learning AutoML User Interface, facilitating a seamless transition from model development to practical application. This comprehensive strategy not only enhances operational efficiency but also makes machine learning accessible to a wider range of users within the organization, fostering a culture of data-driven decision-making. By leveraging these tools, businesses can maximize their data assets and drive innovation.
Integrations Supported
Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Integrations Supported
Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
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
PureMind
Date Founded
2017
Company Location
Russian Federation
Company Website
puremind.tech/
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/data-science/machine-learning/
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
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization