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Description
Noogata’s AI blocks are tailored for professionals seeking to swiftly transform their data into practical insights that enhance business opportunities, promote growth, and increase profits. Leverage AI and ML tools designed specifically for business users instead of relying on data scientists. Amplify your business intelligence and analytics capabilities, including integration with your spreadsheets, to achieve more. Utilize a variety of pre-built AI models that are ready for immediate application to extract meaningful insights from your data. Seamlessly connect and adapt the blocks to confront your most urgent business challenges effectively. Whether linking to your data platform, Google Sheets, or Excel, you can generate actionable insights, recommendations, and best practices. Recognizing that business users have diverse data sources, requirements, and goals, we have developed the Noogata AI libraries and blocks to cater to your unique needs. Discover the competitive landscape while boosting online sales performance, and execute analyses in just minutes to uncover insights about pricing strategies, content direction, and advertising suggestions. By doing so, you position your business to respond quickly and strategically to market changes and customer demands.
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
No
API Access
Has API
Yes
Integrations
Amazon
Yes
Apache Hive
No
Apache Spark
No
Google Cloud Platform
Yes
Google Drive
Yes
Google Sheets
Yes
Impala
No
Kinetica
No
Microsoft Excel
Yes
MySQL
No
Integrations
Amazon
No
Apache Hive
Yes
Apache Spark
Yes
Google Cloud Platform
No
Google Drive
No
Google Sheets
No
Impala
Yes
Kinetica
Yes
Microsoft Excel
No
MySQL
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Noogata
Country
United States
Website
noogata.com
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/machine-learning/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
No-Code Development
AI-Assisted Development
No
Business Process Automation
No
Collaborative Development
No
Data Aggregation and Publishing
No
Deployment Management
No
Drag & Drop
No
Integrations Management
No
Iteration Management
No
Performance Monitoring
No
Requirements Management
No
Templates
No
Visual Modeling
No
Web / Mobile App Development
No
Workflow Management
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
