Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Empowering all AI and machine learning initiatives within enterprises to yield reliable and beneficial outcomes is crucial. Data scientists require a platform that guarantees reproducibility for their experiments, ensures discoverability of every asset, and streamlines the transfer of knowledge. Meanwhile, managers need a specialized data science solution to safeguard knowledge, automate reporting tasks, and simplify review processes. Vectice aims to transform the operational dynamics of data science teams and enhance their collaboration. The ultimate objective is to foster a consistent and advantageous impact of AI and ML across various organizations. Vectice is introducing the first automated knowledge solution that is not only cognizant of data science but also actionable and seamlessly integrates with the tools utilized by data scientists. The platform automatically captures all assets generated by AI and ML teams, including datasets, code, notebooks, models, and runs, while also creating comprehensive documentation that spans from business requirements to production deployments, ensuring that every aspect of the workflow is covered efficiently. This innovative approach allows organizations to maximize their data science potential and drive meaningful results.
Description
ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users.
ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process.
ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Redshift
Yes
Amazon S3
Yes
Amazon SageMaker
Yes
Amazon Web Services (AWS)
No
GitHub
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
No
Jira
Yes
Jupyter Notebook
Yes
Keras
Yes
Integrations
Amazon Redshift
No
Amazon S3
No
Amazon SageMaker
No
Amazon Web Services (AWS)
Yes
GitHub
No
Google Cloud BigQuery
No
Google Cloud Platform
Yes
Jira
No
Jupyter Notebook
No
Keras
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
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
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Vectice
Website
www.vectice.com
Vendor Details
Company Name
ZinkML Technologies
Founded
2023
Country
India
Website
zinkml.com
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
Knowledge Management
Artificial Intelligence (AI)
No
Cataloging / Categorization
No
Collaboration
No
Content Management
No
Decision Tree
No
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
No
Self Service Portal
No
Product Features
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
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
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
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No