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What is PwC Model Edge?

Model Edge facilitates the entire lifecycle management of models by streamlining the development, validation, governance, and oversight of your full portfolio, encompassing AI functionalities through a singular platform. This efficient operation bolsters your confidence in the program by providing vital tools that highlight the effectiveness and explainability of models to both internal teams and external partners. The platform is equipped with comprehensive model recording and documentation features, all housed within a cohesive environment. Furthermore, it presents a detailed inventory of models along with an audit trail that records historical and real-time changes and updates. By employing a centralized cloud-based system, you can manage every stage of a model’s lifecycle, from its initial idea to complete deployment. This enables you to effectively orchestrate workflows for model development and validation while keeping track of progress across different initiatives, ensuring every step is meticulously monitored and optimized. Such an all-encompassing strategy not only promotes enhanced collaboration but also significantly improves accountability throughout the model management framework, making it an indispensable tool for organizations. Ultimately, Model Edge stands as a pivotal resource that empowers organizations to harness the full potential of their modeling capabilities.

What is JFrog ML?

JFrog ML, previously known as Qwak, serves as a robust MLOps platform that facilitates comprehensive management for the entire lifecycle of AI models, from development to deployment. This platform is designed to accommodate extensive AI applications, including large language models (LLMs), and features tools such as automated model retraining, continuous performance monitoring, and versatile deployment strategies. Additionally, it includes a centralized feature store that oversees the complete feature lifecycle and provides functionalities for data ingestion, processing, and transformation from diverse sources. JFrog ML aims to foster rapid experimentation and collaboration while supporting various AI and ML applications, making it a valuable resource for organizations seeking to optimize their AI processes effectively. By leveraging this platform, teams can significantly enhance their workflow efficiency and adapt more swiftly to the evolving demands of AI technology.

Media

Media

Integrations Supported

Amazon SageMaker
Apache Kafka
Google Cloud BigQuery
MongoDB
PyTorch
Snowflake

Integrations Supported

Amazon SageMaker
Apache Kafka
Google Cloud BigQuery
MongoDB
PyTorch
Snowflake

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

PwC

Date Founded

1998

Company Location

United Kingdom

Company Website

www.pwc.com/us/en/products/model-edge.html

Company Facts

Organization Name

JFrog

Date Founded

2008

Company Location

United States

Company Website

www.qwak.com

Categories and 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)

Categories and 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)

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

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

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