Best AWS Marketplace Software - Page 134

ResNet V2 101

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.

Restaurant Reviews Topic Extraction

This solution identifies the various aspects a reviewer is mentioning when providing a review for any restaurant business. This can help businesses easily identify which are its most prominent aspects (e.g. price, ambience, taste, quality etc.) which are getting reviewed and what are the associated opinions about them. They can then improve on these aspects to provide a superior customer experience.

RESTful Lens

RESTful Lens is a lightweight, highly scalable tool designed to transform data from RESTful API responses into RDF 1.1-compliant N-QUADS format, facilitating seamless integration with knowledge graphs. By automating this conversion process, RESTful Lens enables organizations to efficiently structure and utilize their data within semantic web frameworks. Key Features and Functionality: - Automated Data Transformation: Converts RESTful API response data into RDF 1.1 N-QUADS format, streamlining the integration process with knowledge graphs. - Provenance Tracking: Includes provenance information by default, ensuring data traceability and reliability. - Standards Compliance: Supports W3C Semantic Web Standards, including RDF 1.1 and SPARQL 1.1, promoting interoperability across various platforms. - Amazon Neptune Compatibility: Fully compatible with Amazon Neptune, allowing for seamless deployment within AWS environments. - Platform Agnostic: Designed to operate across different platforms, providing flexibility in deployment options. Primary Value and User Solutions: RESTful Lens addresses the challenge of integrating unstructured RESTful API data into structured knowledge graphs. By automating the transformation process and adhering to established semantic web standards, it enables organizations to enhance data interoperability, improve data quality, and facilitate advanced analytics. This solution is particularly beneficial for businesses seeking to leverage their API data within semantic frameworks without extensive manual processing.

Retail Sales Forecasting

Retail Sales Forecasting generates 30 months of forward forecast of retail sales using historical data. This solution helps retailers to predict future sales and thereby optimize their inventory, logistics, warehouse management, production planning, personnel allocation, etc. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Average Rating: 4.3/5.0

Total Reviews: 15

Retinanet SSD Resnet-101 640x640

This is a Object Detection Answering model from TensorFlow Hub

Retinanet SSD Resnet-152 1024x1024

This is a Object Detection Answering model from TensorFlow Hub

Retinanet SSD Resnet-50 640x640

This is a Object Detection Answering model from TensorFlow Hub

Reva

Reva is an AI-powered platform designed to streamline and enhance the recruitment process for businesses of all sizes. By leveraging advanced artificial intelligence, Reva automates candidate sourcing, screening, and engagement, enabling recruiters to focus on strategic decision-making and building meaningful relationships with potential hires. The platform integrates seamlessly with existing applicant tracking systems (ATS) and provides actionable insights to improve hiring outcomes. Key Features and Functionality: - Automated Candidate Sourcing: Reva identifies and attracts top talent by scanning various channels, including job boards, social media, and professional networks. - AI-Driven Screening: The platform evaluates resumes and applications using machine learning algorithms to shortlist the most suitable candidates based on predefined criteria. - Candidate Engagement: Reva facilitates personalized communication with candidates through automated messaging, scheduling interviews, and providing timely updates. - Analytics and Reporting: Users gain access to comprehensive dashboards that offer insights into recruitment metrics, helping to refine strategies and improve hiring efficiency. - Integration Capabilities: Reva integrates with existing ATS and HR systems, ensuring a smooth workflow without the need for extensive system overhauls. Primary Value and User Solutions: Reva addresses common recruitment challenges by reducing the time and effort required to source and screen candidates. Its AI-driven approach minimizes human bias, leading to more objective hiring decisions. By automating routine tasks, Reva allows recruiters to dedicate more time to engaging with candidates and developing strategic initiatives. Ultimately, the platform enhances the quality of hires, accelerates the recruitment cycle, and contributes to a more efficient and effective hiring process.

Reverse Geocoder Lite

Reverse Geocoder Lite is a streamlined and efficient API designed to convert geographic coordinates into human-readable location information. By inputting latitude and longitude pairs, users receive data such as locality names, city, administrative areas, geocodes, elevation, timezone, country, and region. This service is optimized for rapid reverse geocoding on a global scale and is compatible with cost-effective, minimal AWS instances, including the free tier t3.micro, requiring only a small HDD . Key Features and Functionality: - Global Reverse Geocoding: Provides fast and accurate conversion of coordinates to location names worldwide. - Comprehensive Data Output: Returns detailed information, including locality names, city, administrative areas, geocodes, elevation, timezone, country, and region. - Resource Efficiency: Operates effectively on minimal AWS instances, such as t3.micro, and requires only 8GB of HDD space. - Flexible Data Formats: Outputs data in XML or JSON formats, catering to diverse application needs. Primary Value and User Solutions: Reverse Geocoder Lite addresses the need for a cost-effective and efficient solution to translate geographic coordinates into meaningful location data. By leveraging this API, users can enhance their applications with precise location information without incurring significant infrastructure costs. Its lightweight design and compatibility with minimal AWS resources make it an ideal choice for developers seeking to integrate reverse geocoding capabilities seamlessly into their systems.

Reverse SSH Server

The Reverse SSH Server is an appliance which provides persistent connections to other servers or IoT devices even when those endpoints are deployed in private IP environments and even if the endpoints reboot unexpectedly.

RHEL 7.6 (ARM) with support by ProComputers

This is a minimal RedHat Enterprise Linux RHEL 7.6 ARM image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.

RHEL 7.6 (ARM) with Support by Supported Images

This product has charges associated with it for seller support. This latest RedHat Enterprise Linux 7 (ARM) (RHEL 7) is available pre-configured by Supported Images to have the latest patches and security setting at image launch.

RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC

FlashGrid's RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC is a pre-configured Amazon Machine Image designed to facilitate the deployment of Oracle Real Application Clusters on Amazon Web Services . This AMI integrates FlashGrid's engineered cloud system, enabling active-active database high availability infrastructure in public clouds. By leveraging this solution, organizations can achieve near-zero recovery time objectives and zero recovery point objectives in the event of node, storage, or availability zone failures. Key Features and Functionality: - High Availability Architecture: Utilizes Oracle RAC's active-active clustering and synchronous data mirroring across nodes and availability zones to ensure continuous database operation. - Infrastructure-as-Code Deployment: Delivered as an AWS CloudFormation template, the solution automates the configuration of multiple components required for a database cluster. The FlashGrid Launcher tool simplifies the deployment process by guiding users through cluster configuration parameters and generating CloudFormation templates. - Comprehensive Support: Offers 24x7 technical support covering the entire infrastructure stack, including FlashGrid software, Oracle ASM and Clusterware, EC2 instances, VPC networking, EBS volumes, Linux kernel, and networking/storage components. Primary Value and User Solutions: The RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC addresses the critical need for high availability and disaster recovery in cloud-based Oracle database deployments. By providing a robust, pre-configured environment, it simplifies the migration of mission-critical databases to AWS, ensuring minimal downtime and data loss. This solution is particularly beneficial for organizations seeking to maintain enterprise-grade database performance and reliability in the cloud.

RHEL 8.4 (ARM) with support by ProComputers

This is a minimal RedHat Enterprise Linux RHEL 8.4 ARM image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.