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Description
Model Edge supports the comprehensive lifecycle of models by simplifying the management, development, validation, and governance of your entire portfolio, including AI, all from a single platform. By streamlining operations, Model Edge enhances your confidence in the program through essential tools that demonstrate model effectiveness and explainability to both internal and external stakeholders. The platform features robust model recording and documentation capabilities within a unified environment. Additionally, it offers a complete inventory of models along with an audit trail that monitors historical and real-time modifications and updates. Utilize a centralized cloud-based environment to oversee every phase of a model’s lifecycle, from its initial conception to full implementation. You can effectively manage your workflows for model development and validation while also monitoring progress across various programs, ensuring that each step is tracked and optimized. This comprehensive approach not only fosters better collaboration but also enhances accountability throughout the model management process.
Description
TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 UltraClusters
Cloudera Data Platform
Collimator
Databricks
Datatron
Denigma
Flex83
HPE Ezmeral
Integrations
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 UltraClusters
Cloudera Data Platform
Collimator
Databricks
Datatron
Denigma
Flex83
HPE Ezmeral
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
PwC
Founded
1998
Country
United Kingdom
Website
www.pwc.com/us/en/products/model-edge.html
Vendor Details
Company Name
TensorFlow
Founded
2015
Country
United States
Website
www.tensorflow.org
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization