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Average Ratings 0 Ratings
Description
There is no doubt that data and analytics serve as essential catalysts for revolutionary business projects. An increasing number of individuals throughout organizations are utilizing data to tackle intricate inquiries. The necessity for user-friendly, low-code yet adaptable tools for data transformation and machine learning has reached unprecedented levels. The reliance on multiple disparate tools often results in inefficient analytics workflows, elevated costs, and delayed decision-making processes. Outdated solutions with redundant capabilities pose a risk to ongoing data science endeavors, especially as proprietary features in closed vendor platforms become outdated. By merging extensive expertise in data preparation, machine learning, and visualization into a single cohesive interface, Knowledge Works adapts to expanding data volumes, the introduction of new open-source functionalities, and the evolving sophistication of user profiles. As a result, data scientists and business analysts can seamlessly implement data analytics applications through its accessible, cloud-compatible interface. This integration not only enhances productivity but also fosters a more collaborative environment for data-driven decision-making across the organization.
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
Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Azure Kubernetes Service (AKS)
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Azure Kubernetes Service (AKS)
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
Altair
Founded
1985
Country
United States
Website
www.altair.com/knowledge-works/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/machine-learning/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
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