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What is GENESYS?

GENESYS offers a wide selection of sample solutions specifically designed for researchers across various fields, including commercial industries, social sciences, government, and public opinion research. Our product lineup features diverse sample data types such as telephone, address, online, and voter samples to meet your unique needs. To further enhance our offerings, we provide an array of services that include screening, weighting, custom data analysis, consulting, and geodemographic insights. The MSG team, comprised of experts in statistical sampling, is dedicated to helping you create a sample that adheres to the highest quality standards, ensuring that your data is not only reliable but also defensible and tailored to your specific requirements. Additionally, our sample design services implement imputation techniques to effectively address any missing data challenges you may encounter. By leveraging MSG's extensive GIS and GEO-DEM capabilities, you can take advantage of geographic and demographic information, which includes comprehensive demographic datasets, in-depth analytical reports, detailed maps, geocoding services, spatial analytics, and customized geographic frame designs, alongside data derived from the 2010 Census and later. Whether you seek simple reports and maps or complex spatial projects and expert consulting, our highly skilled GIS team is prepared to assist you in every aspect of your research endeavor. We pride ourselves on our commitment to providing high-quality solutions that cater to all your research needs, ensuring you achieve optimal results in your studies.

What is 3LC?

Illuminate the opaque processes of your models by integrating 3LC, enabling the essential insights required for swift and impactful changes. By removing uncertainty from the training phase, you can expedite the iteration process significantly. Capture metrics for each individual sample and display them conveniently in your web interface for easy analysis. Scrutinize your training workflow to detect and rectify issues within your dataset effectively. Engage in interactive debugging guided by your model, facilitating data enhancement in a streamlined manner. Uncover both significant and ineffective samples, allowing you to recognize which features yield positive results and where the model struggles. Improve your model using a variety of approaches by fine-tuning the weight of your data accordingly. Implement precise modifications, whether to single samples or in bulk, while maintaining a detailed log of all adjustments, enabling effortless reversion to any previous version. Go beyond standard experiment tracking by organizing metrics based on individual sample characteristics instead of solely by epoch, revealing intricate patterns that may otherwise go unnoticed. Ensure that each training session is meticulously associated with a specific dataset version, which guarantees complete reproducibility throughout the process. With these advanced tools at your fingertips, the journey of refining your models transforms into a more insightful and finely tuned endeavor, ultimately leading to better performance and understanding of your systems. Additionally, this approach empowers you to foster a more data-driven culture within your team, promoting collaborative exploration and innovation.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Call Coach AI
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
Microsoft Azure
NumPy
PyTorch
Python
Tekst
mTrip
pandas

Integrations Supported

Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Call Coach AI
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
Microsoft Azure
NumPy
PyTorch
Python
Tekst
mTrip
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Marketing Systems Group

Date Founded

1987

Company Location

United States

Company Website

www.m-s-g.com/Pages/genesys/

Company Facts

Organization Name

3LC

Company Website

3lc.ai/

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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