Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Empower your team to efficiently implement AI-driven business solutions at scale with cloud-based, comprehensive no-code machine learning. Enhance your team's productivity and effectively harness actionable insights from your data to forecast and improve behaviors. Quickly scale your operations and deploy models into production seamlessly. With Gurobi Optimizer, users can confront even the most challenging problems head-on. LityxIQ serves as a powerful and user-friendly, no-code AutoML platform designed by data scientists to benefit all team members. As a cloud-based SaaS, it integrates effortlessly with your existing tools, connecting seamlessly with various systems, source data platforms, data lakes, and data warehouses, in addition to leading visualization platforms. Powered by the fastest solver available, you can face the most demanding analytics tasks confidently. Moreover, our Solution Accelerators feature enhances efficiency by significantly shortening the time to achieve tangible results. This holistic approach ensures that every team member can contribute to the success of your AI initiatives.
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
Apache Hive
No
Apache Spark
No
Impala
No
Kinetica
No
MySQL
No
Oracle Cloud Infrastructure
No
Oracle Database
No
PwC Check-In
No
Integrations
Apache Hive
Yes
Apache Spark
Yes
Impala
Yes
Kinetica
Yes
MySQL
Yes
Oracle Cloud Infrastructure
Yes
Oracle Database
Yes
PwC Check-In
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
Yes
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
Lityx
Country
United States
Website
www.lityx.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
No
Benchmarking
Yes
Data Blending
Yes
Data Mining
Yes
Demand Forecasting
Yes
For Education
Yes
For Healthcare
Yes
Modeling & Simulation
Yes
Sentiment Analysis
Yes
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