Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
GiniMachine, an AI-based solution to automated decision making, is called GiniMachine. It uses advanced machine learning algorithms and historical data from companies to create high-performing scoring models.
It can be used to score credit, collect, or apply, expand marketing (churn prediction), as well as sales (cross-sell, upsell) opportunities.
The system uses a customized implementation of the decision tree ensemble technique, augmented with a set
Heuristics for preliminary data processing. GiniMachine provides models for building and supplying.
They are fully compliant to the BASEL requirements.
GiniMachine works with all types of data, raw and prepared, including:
Socio-demographic data
Credit bureaus info
Transactional data
Social network data
Other data.
Description
kdb Insights is an advanced analytics platform built for the cloud, enabling high-speed real-time analysis of both live and past data streams. It empowers users to make informed decisions efficiently, regardless of the scale or speed of the data, and boasts exceptional price-performance ratios, achieving analytics performance that is up to 100 times quicker while costing only 10% compared to alternative solutions. The platform provides interactive data visualization through dynamic dashboards, allowing for immediate insights that drive timely decision-making. Additionally, it incorporates machine learning models to enhance predictive capabilities, identify clusters, detect patterns, and evaluate structured data, thereby improving AI functionalities on time-series datasets. With remarkable scalability, kdb Insights can manage vast amounts of real-time and historical data, demonstrating effectiveness with loads of up to 110 terabytes daily. Its rapid deployment and straightforward data ingestion process significantly reduce the time needed to realize value, while it natively supports q, SQL, and Python, along with compatibility for other programming languages through RESTful APIs. This versatility ensures that users can seamlessly integrate kdb Insights into their existing workflows and leverage its full potential for a wide range of analytical tasks.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon FinSpace
No
Amazon Web Services (AWS)
No
CREDITONLINE
Yes
Databricks
No
Google Cloud Platform
No
Microsoft Azure
No
Python
No
SQL
No
Snowflake
No
Ultimus Digital Process Automation Suite
Yes
Integrations
Amazon FinSpace
Yes
Amazon Web Services (AWS)
Yes
CREDITONLINE
No
Databricks
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Python
Yes
SQL
Yes
Snowflake
Yes
Ultimus Digital Process Automation Suite
No
Pricing Details
No price information available.
Free Trial
No
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
Yes
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
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
HES FinTech
Founded
2017
Country
Lithuania
Website
ginimachine.com
Vendor Details
Company Name
KX
Founded
1996
Country
United States
Website
kx.com/products/kdb-insights/
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No