Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI.
The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale.
Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices.
Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue.
Description
Streamlining quality assurance for machine learning, Snitch cuts through the clutter to highlight the most valuable insights for enhancing your models. It allows you to monitor performance metrics that extend beyond mere accuracy through comprehensive dashboards and analytical tools. You can pinpoint issues within your data pipeline and recognize distribution changes before they impact your predictions. Once deployed, maintain your model in production while gaining insight into its performance and data throughout its lifecycle. Enjoy flexibility with your data security, whether in the cloud, on-premises, private cloud, or hybrid environments, while choosing your preferred installation method for Snitch. Seamlessly integrate Snitch into your existing MLops framework and continue using your favorite tools! Our installation process is designed for quick setup, ensuring that learning and operating the product are straightforward and efficient. Remember, accuracy alone can be deceptive; therefore, it’s crucial to assess your models for robustness and feature significance before launch. Obtain actionable insights that will help refine your models, and make comparisons with historical metrics and your models' established baselines to drive continuous improvement. This comprehensive approach not only bolsters performance but also fosters a deeper understanding of your machine learning processes.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Amazon SageMaker
Yes
Docker
No
Facebook
Yes
Google Cloud Platform
No
Microsoft Azure
No
NVIDIA DRIVE
Yes
SingleStore
Yes
TensorFlow
No
Integrations
Amazon Web Services (AWS)
Yes
Amazon SageMaker
No
Docker
Yes
Facebook
No
Google Cloud Platform
Yes
Microsoft Azure
Yes
NVIDIA DRIVE
No
SingleStore
No
TensorFlow
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1,995 per year
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
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Fiddler AI
Country
United States
Website
www.fiddler.ai/
Vendor Details
Company Name
Snitch AI
Country
Canada
Website
snit.ch/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
Yes
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
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
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