Best AWS Marketplace Software - Page 105

Mindful by Medallia

Mindful is a best-in-class customer experience solution for the world’s biggest brands. For us, customer-centricity is key—so we bridge the gap between experiences, bringing customers the help they need at a time that’s best for them. Mindful adds emotional intelligence to every interaction by transitioning customers across channels like voice, digital, text, and in-person to provide a premier experience for customers, an empowered experience for agents, and peak efficiency for brands. • Winning the customer journey is critical to a thriving brand, and Mindful bridges the gaps between disconnected experiences. • Digital dead ends are replaced by no-code call schedulers, carrying context over for the customer while creating predictable queue volume. • Traditional hold times are a thing of the past by providing premier callback in the IVR. • Customers expectations are managed with status updates and options to reconnect via SMS. The biggest Fortune 500 brands have been using Mindful to improve contact center metrics like AHT, ASA, Abandonment, and agent happiness. Satisfaction metrics like CSAT, NPS, CES are also improved thanks to seamless transitions and agent preparedness. It all comes together for the very best customer experience that drives revenue and loyalty.

Average Rating: 4.8/5.0

Total Reviews: 6

Minecraft 1.16.5 Game Server with Pre-configured by Terracloudx

Terracloudx offers this software product repackaged where additional charges apply for technical support provided by Terracloudx and Minecraft _1.16.5

MintJams Content Repository 6 on Cloud

MintJams Content Repository 6 on Cloud is a comprehensive content management system designed to streamline the sharing and management of various content types, including documents, photos, and videos. It offers a hierarchical content store that supports both structured and unstructured content, featuring capabilities such as full-text search, versioning, transactions, and observation. For developers, the embedded Apache Felix OSGi framework and console provide a dynamic runtime environment, allowing code and content bundles to be loaded, unloaded, and reconfigured at runtime. Key Features and Functionality: - Drag-and-Drop Upload: Simplifies the process of uploading files, enhancing user efficiency. - Web Console: Delivers a consistent and positive user experience across all devices. - Script Engine: Supports ECMAScript and Groovy scripts, enabling the creation of dynamic websites. Primary Value and User Solutions: MintJams Content Repository 6 on Cloud addresses the complexities of content management by providing a robust and scalable platform that facilitates efficient content sharing and organization. Its support for both structured and unstructured content, combined with advanced features like full-text search and versioning, ensures that users can manage their digital assets effectively. The inclusion of a dynamic runtime environment empowers developers to adapt and extend functionalities as needed, making it a versatile solution for various content management needs.

Missing Charges

Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer.

Mobile Compliance Recording

Mobile Customer Churn Prediction

Customer churn refers to the loss of existing clients or customers. This solution identifies mobile network subscribers who are more likely to change their operator. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

MobileNet V1 0.25 224

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

MobileNet V1 0.50 128

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

MobileNet V1 0.75 224

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

MobileNet V1 1.00 160

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

MobileNet V2

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

MobileNet V2 1.40 224

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Mobile Phone Review Sentiment Analyzer

The solution analyzes reviews of mobile phones and accessories and classifies them into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment classes. It can be used to analyze product feedback from customers by predicting the sentiments of reviews.

Modelfactory.io

ModelFactory.io enables data-driven companies to reach new productivity and optimization levels. It is an intelligent automation system that allows total control and organization to produce, maintain, score and deploy multiple Python machine learning models quickly and simply.

MoinMoin - Wiki Engine powered by TurnKey GNU/Linux (HVM)

MoinMoin is a user-friendly and extensible wiki engine implemented in Python, designed to facilitate collaborative content creation and management. Unlike traditional database-driven wikis, MoinMoin utilizes a flat-file storage system, allowing for straightforward content manipulation directly on the server. This architecture simplifies tasks such as revision management and recovery from spam attacks. The TurnKey GNU/Linux MoinMoin appliance offers a pre-configured, secure, and easy-to-maintain deployment of MoinMoin, streamlining the setup process for users. Key Features and Functionality: - Flat-File Storage System: MoinMoin stores data in flat files and folders, eliminating the need for a database and enabling direct server-side content editing. - Pre-Configured Deployment: The TurnKey appliance comes with MoinMoin installed from package management, with wiki data maintained in `/var/www/moin/mywiki`. - Enhanced User Experience: Features include the FCKeditor enabled by default for ease of use, Apache WSGI for improved performance, an English spellchecker, UTF-8 character encoding for internationalization, and a default theme set to 'rightsidebar' for better user experience. - Security and Maintenance: The appliance includes SSL support out of the box, Postfix MTA bound to localhost for email functionalities like password recovery, and Webmin modules for configuring Apache2 and Postfix. Primary Value and User Solutions: The TurnKey GNU/Linux MoinMoin appliance provides a ready-to-use, secure, and easily maintainable wiki solution, reducing the time and effort required for deployment and configuration. Its flat-file storage system offers flexibility and simplicity, particularly beneficial for users who prefer or require direct access to content files without the complexity of database management. The inclusion of pre-configured features and security measures ensures a robust platform for collaborative content creation and management.