Best AWS Marketplace Software - Page 86

HPC Pack 2019 Cluster on Windows Server 2016

Deploy a high-performance computing (HPC) cluster by using Microsoft® HPC Pack 2019 on AWS

HPC Pack 2019 on Windows Server 2019

Deploy a high-performance computing (HPC) cluster by using Microsoft® HPC Pack 2019 on AWS

HPE Economics Analysis for Cloud - TCO

The HPE Economic Analysis for Cloud service is designed to investigate cost reduction opportunities and strategies specific to a client’s situation. Our analysis will provide qualitative and quantitative information to support business cases and cloud migration planning efforts.

Hud: Runtime Code Sensor

Hud's Runtime Code Sensor is an innovative tool that dynamically captures live, function-level data from production environments, providing engineers and AI coding agents with essential context to detect and resolve issues proactively. With a swift, zero-configuration installation, Hud streams real-time code behavior directly into development environments, enabling software teams to build with confidence and ensure their systems operate effectively in real-world conditions. Key Features and Functionality: - Real-Time Function-Level Data Capture: Automatically gathers live service and function-level data from production environments, offering immediate insights into code behavior. - Seamless Integration: Installs in seconds without configuration, streaming runtime data directly into IDEs and development tools. - Comprehensive Language and Environment Support: Supports multiple programming languages, including Node.js and Python, and operates across various environments such as containers, VMs, Kubernetes, and serverless architectures. - Enhanced Observability: Provides real-time visibility into code execution patterns, performance metrics, and error detection without the need for manual instrumentation or dashboards. - AI Agent Compatibility: Equips AI coding agents with accurate system context, enabling them to generate safer, system-aligned code. Primary Value and Problem Solved: Hud addresses the challenge of understanding and monitoring code behavior in complex, real-world production environments. Traditional observability tools often require extensive configuration and operate retrospectively, limiting their effectiveness in preemptively identifying issues. Hud's Runtime Code Sensor bridges this gap by providing continuous, real-time insights into code execution, allowing engineering teams to: - Detect Production Issues Proactively: Identify and resolve potential problems before they impact end-users. - Pinpoint Root Causes Efficiently: Utilize real-time data to quickly determine the function-level origins of issues. - Understand Code Behavior Across Deployments: Gain insights into how code changes affect system performance and behavior in production. - Enhance AI-Generated Code Safety: Provide AI coding agents with the necessary context to produce reliable and production-safe code. By delivering continuous awareness of software behavior in production, Hud empowers teams to ship code rapidly and confidently, ensuring reliability and safety in both human and AI-generated code.

Hugenomic Nanopolish

Hugenomic Nanopolish is an accelerated software solution designed for ultra-fast signal-level analysis of large datasets from Oxford Nanopore sequencing. By leveraging FPGA technology, it significantly reduces computation times, enabling the processing of over 800,000 long reads in approximately three hours. Key Features and Functionality: - Accelerated Event Alignment: Utilizes FPGA acceleration to expedite the eventalign tool, transforming processes that traditionally took days into mere hours. - Comprehensive Analysis Tools: Offers functionalities such as improved consensus sequence calculation, detection of base modifications, and SNP and indel calling relative to a reference genome. - Pre-Installed Software Package: Provided as a CentOS Linux AMI with all necessary software pre-installed, facilitating immediate deployment and use. Primary Value and User Benefits: Hugenomic Nanopolish addresses the computational challenges associated with analyzing extensive Oxford Nanopore sequencing data. By harnessing FPGA acceleration, it delivers high performance and faster results, making it an invaluable tool for researchers and professionals in genomics seeking efficient and accurate data analysis solutions.

Human Review Services by CapeStart

Human Review Services is a human-in-the-loop service that supports organizations with data review, validation, annotation, and quality assessment for AI and machine learning workflows. CapeStart provides human review capabilities for organizations working with text, images, audio, video, and other structured or unstructured data, helping teams validate information and maintain defined quality standards throughout AI development and operational workflows. The service supports data annotation, classification, content review, validation, quality assessment, and evaluation of AI-generated outputs. Review workflows can be configured according to project-specific guidelines, annotation schemas, quality requirements, and domain requirements. Human reviewers can work alongside technology-assisted processes to review and validate large volumes of data and AI outputs. Human review can be incorporated into data preparation, model development, AI evaluation, and ongoing quality-control workflows. CapeStart supports use cases involving natural language processing, computer vision, speech and audio applications, and other machine learning systems where human validation is required. The service can also support specialized workflows requiring subject-matter expertise, structured review criteria, multiple levels of quality control, and client-defined acceptance standards. This allows organizations to incorporate human oversight at appropriate stages of their AI and data workflows.

Hund

Advanced hosted status pages. Offering a complete REST API, multiple-page support, native curl-like monitoring, metrics, semantic statuses, informational, maintenance, and scheduled issues, and more.

Average Rating: 5.0/5.0

Total Reviews: 1

Huron Rounding - Nurse Engagement

Huron Rounding is a one-stop tool that helps your team build nurse engagement and align employee goals to organizational objectives. Using data, organizations can provide a best-in-class approach to building relationships and improving employee engagement.

Huron Rounding - Patient Satisfaction

Huron Rounding is a one-stop tool that helps your team improve patient satisfaction by aligning patient needs to care delivery. Enable leaders to make data-driven decisions that support patient safety and bolster the overall patient experience.

HyperCash

HyperCash (HC is a decentralized, open-source cryptocurrency designed to facilitate seamless interoperability between different blockchain networks and non-blockchain systems. By employing a dual-chain architecture, HyperCash enables secure and efficient cross-chain transactions, enhancing the connectivity and functionality of various digital platforms. Key Features and Functionality: - Dual-Chain Ecosystem: Comprises the HyperCash (HC main chain and the HyperExchange (HX chain, working together to bridge communication between blockchains like Bitcoin (BTC and Ethereum (ETH, as well as non-blockchain systems such as Directed Acyclic Graphs (DAGs. - Hybrid Consensus Mechanism: Utilizes a combination of Proof-of-Work (PoW and Proof-of-Stake (PoS protocols to ensure network security and scalability. - Quantum-Resistant Signature Technology: Incorporates advanced cryptographic techniques to safeguard against potential quantum computing threats. - Privacy-Preserving Protocols: Implements features that enhance user privacy and data protection during transactions. - Smart Contract Support: Facilitates the creation and execution of smart contracts, enabling complex decentralized applications. Primary Value and User Solutions: HyperCash addresses the challenge of interoperability among diverse blockchain networks and non-blockchain systems by providing a unified platform for cross-chain transactions. This capability allows users to transfer assets and data seamlessly across different platforms, fostering greater integration and efficiency within the digital economy. Additionally, its emphasis on security, privacy, and quantum resistance ensures that users' transactions and data remain protected against emerging technological threats.

HyperGraf Life Event Detection

HyperGraf Life Event Detection is an advanced analytics solution designed to empower enterprises by providing real-time, actionable insights into customer behaviors and life events. By integrating data from diverse channels—including social media, credit scores, and open datasets—HyperGraf constructs a comprehensive 360-degree view of each customer. This holistic perspective enables businesses to anticipate customer needs, tailor personalized experiences, and make informed strategic decisions. Key Features and Functionality: - Omnichannel Intelligence: Aggregates and analyzes data from multiple customer engagement channels to deliver accurate, real-time insights. - Advanced Analytics: Utilizes machine learning, predictive analytics, and natural language processing to interpret complex data patterns. - Customer 360° Profiling: Creates detailed customer profiles by correlating multi-structured data from various interaction points. - Geospatial and Location Analysis: Provides geospatial analytics and visualizations to understand customer demographics and behaviors across different regions. - Lead Generation: Identifies cross-selling and upselling opportunities through intelligent lead scoring mechanisms. - Enterprise Risk Intelligence: Monitors and responds to critical issues and product/service outages promptly to safeguard organizational reputation. Primary Value and Problem Solved: HyperGraf Life Event Detection addresses the challenge of fragmented customer data by consolidating information from various sources into a unified, actionable format. This integration allows businesses to detect significant life events—such as moving, lifestyle changes, or financial milestones—enabling timely and personalized customer engagement. By leveraging HyperGraf, enterprises can enhance customer satisfaction, improve retention rates, and drive revenue growth through targeted marketing and service strategies.

HyperGraf Vehicle Loan Lead Identifier

HyperGraf Vehicle Loan Lead Identifier is a sophisticated analytics solution designed to enhance the efficiency of vehicle loan lead generation. By leveraging advanced data analysis techniques, it enables financial institutions and automotive businesses to identify and target potential customers more effectively, thereby increasing conversion rates and optimizing marketing efforts. Key Features and Functionality: - Advanced Data Analytics: Utilizes machine learning algorithms to analyze vast datasets, uncovering patterns and insights that inform lead generation strategies. - Customer Segmentation: Identifies and categorizes potential customers based on various criteria, allowing for personalized marketing approaches. - Predictive Modeling: Forecasts customer behavior and loan application likelihood, enabling proactive engagement with high-potential leads. - Integration Capabilities: Seamlessly integrates with existing CRM and marketing platforms, facilitating streamlined operations. - Real-Time Insights: Provides up-to-date analytics, allowing businesses to adapt strategies promptly in response to market changes. Primary Value and Problem Solved: HyperGraf Vehicle Loan Lead Identifier addresses the challenge of inefficient lead generation in the vehicle loan sector. By delivering precise customer insights and predictive analytics, it empowers businesses to focus their resources on the most promising leads, reducing acquisition costs and improving overall sales performance. This targeted approach not only enhances customer engagement but also drives higher profitability through more effective marketing and sales strategies.

Hypertension Disease State Predictor

The Hypertension Disease State Predictor is an advanced machine learning model designed to assess the likelihood of hypertension in individuals by analyzing various medical attributes. Developed using the XGBoost algorithm and deployed on AWS SageMaker, this tool offers healthcare professionals a robust solution for early detection and management of high blood pressure. Key Features and Functionality: - End-to-End Machine Learning Pipeline: The model encompasses the entire process from data collection and preprocessing to training, optimization, and deployment, ensuring a seamless workflow. - AWS SageMaker Integration: Leveraging AWS SageMaker, the model benefits from scalable infrastructure, facilitating efficient training, hyperparameter tuning, and real-time deployment. - XGBoost Classification Model: Utilizing the XGBoost algorithm, the predictor delivers high accuracy in hypertension risk assessment. - Real-Time Predictions: Once deployed, the model provides real-time predictions through SageMaker's hosting services, enabling timely clinical decisions. Primary Value and Problem Solved: Hypertension is a leading risk factor for cardiovascular diseases, often remaining undiagnosed until complications arise. The Hypertension Disease State Predictor addresses this challenge by offering a predictive tool that aids in the early identification of individuals at risk. By integrating this model into clinical workflows, healthcare providers can proactively manage and mitigate the adverse effects associated with high blood pressure, ultimately improving patient outcomes.

IAM Health Cloud

IAM Health Cloud is a cloud-based solution designed to help organizations efficiently manage and secure their Identity and Access Management resources across multiple AWS accounts. By providing real-time, centralized visibility into IAM assets, it enables organizations to maintain a strong security posture and ensure compliance with regulatory requirements. IAM Health Cloud's active query model and customizable features make it suitable for fragmented organizations and independent AWS accounts. Key Features and Functionality: - Real-Time Data Updates: Delivers continuous, up-to-date IAM data across multiple AWS accounts, ensuring organizations have the latest information for security, governance, risk, auditing, monitoring, and compliance purposes. - Interactive Dashboards and Reports: Provides user-friendly dashboards and detailed reports that offer insights into an organization's IAM health, allowing for quick, informed decision-making. - Access Reviews and Risk Analysis: Automatically generates detailed access reviews for every user and role, highlighting permissions and their last usage, and conducts risk analyses to identify potential vulnerabilities. - Change Tracking: Maintains a log of all recent and historical changes to AWS IAM assets, facilitating easy auditing and ensuring changes align with security policies. - Health and Risk Scores: Assigns health and risk scores to each account, role, and user, providing a clear metric of the organization's IAM security posture. Primary Value and Problem Solved: IAM Health Cloud streamlines IAM management by offering a centralized, real-time view of IAM assets across multiple AWS accounts. This comprehensive visibility enables organizations to proactively monitor, audit, and control access to their resources, reducing the time and effort required for IAM data analysis from hours to minutes. By continuously updating and analyzing IAM data, IAM Health Cloud helps organizations maintain compliance with regulatory standards, enhance their security posture, and respond swiftly to potential risks, thereby reducing the likelihood of security breaches and compliance violations.

Iden

Iden is the identity governance (IGA) platform that covers the apps others cannot – SaaS not on enterprise plans, internal tools and legacy systems that lack SCIM or API support. Purpose-built for growing teams that do not want the enterprise bloat or manual tickets. Your SSO serves logins and basic lifecycle management for a fraction of your stack. Iden goes wide and deep and helps you provision users and govern their fine-grained access alongside your SSO. ====== WHY IDEN? • COVERAGE. Iden covers all your SCIM apps by default like other vendors but also has 200+ non-SCIM connectors for the most common SaaS not on enterprise plans. Iden can also build a custom connector in <48 hours for your internal or legacy app (think mainframes/desktop apps). Independent analysis of 721 SaaS apps found 57% support no SCIM at all and 62% put it behind an enterprise plan (read more on scimtax.org) • CONTROL. Fine-grained permissions, deeper than just SSO groups. Time-based access controls for least privilege across the stack. Intent-based, JIT for AI agents too (beta). • COMPLEXITY. Go live in days, not months. No professional services, no dedicated IAM admin and no new headcount needed. Most teams went live with 15 apps in <1hr during onboarding. • COST. Starts $7.50/u/month and goes cheaper with scale. All connectors included. No enterprise-plan upgrades just to unlock provisioning (SCIM tax!) ====== KEY FEATURES • Automated onboarding and birthright provisioning • Clean, compliant offboarding across every connected app, with data backups (supported for 20+ apps) • Self-serve access requests from Slack, Teams, our light-weight ticketing system or also your ITSM • JIT, time-bound access with custom policies and approver workflows • Automated user access reviews (UARs) with multi-stage campaigns and granular scope. • Discover and fix access gaps in real-time with single-click remediation with audit trail, ahead of periodic audits. • Human and non-human identity governance, including service accounts and AI agents, from a single dashboard • Third-party access governance of contractors, vendors with complete lifecycle management • Separation of Duties (SoD) policies enforced at request time • Shadow IT discovery from Google/MS OAuth logs with intelligent scope risks • Shadow AI governance by automated tagging of NHI and owner discovery followed by lifecycle management (as applicable) • Reclaim unused SaaS licenses based on user activity ====== Try Iden for your stack today. Web: https://www.idenhq.com Demo: https://cal.com/team/iden/demo Email: hello@idenhq.com

Average Rating: 5.0/5.0

Total Reviews: 1