Best AWS Marketplace Software - Page 151

tcVISION Enterprise Change Data Capture Integration

tcVISION Enterprise Change Data Capture (CDC Integration is a comprehensive solution designed to facilitate real-time, bidirectional data synchronization and replication between mainframe systems and modern cloud or open systems platforms. By focusing on changed data capture, tcVISION ensures efficient data exchange, enabling organizations to integrate legacy mainframe data with contemporary applications seamlessly. Key Features and Functionality: - Real-Time Data Synchronization: tcVISION captures and replicates data changes as they occur, ensuring that target systems are consistently updated with the latest information. - Bidirectional Replication: Supports two-way data replication, allowing changes from both source and target systems to be synchronized, with built-in mechanisms to prevent data looping and ensure data integrity. - Broad Platform Support: Compatible with various mainframe data sources, including IBM Db2 z/OS, VSAM, IMS/DB, CA IDMS, and Software AG ADABAS, and can replicate data to numerous targets such as Amazon Aurora, Amazon RDS, and Amazon S3. - Flexible Deployment Options: Offers multiple replication modes, including initial bulk load and continuous change data capture, tailored to meet diverse operational requirements. - Minimal Mainframe Impact: Designed to operate with minimal resource utilization on mainframe systems, ensuring efficient performance without disrupting existing operations. Primary Value and Problem Solved: tcVISION addresses the critical need for organizations to integrate and modernize their legacy mainframe data environments with contemporary cloud-based applications and services. By enabling real-time, bidirectional data replication, tcVISION allows businesses to leverage their existing mainframe data assets in modern analytics, business intelligence, and application modernization initiatives. This integration facilitates a seamless transition to hybrid cloud architectures, enhances data accessibility, and supports agile business operations without the need for extensive mainframe modifications.

tcVISION Mainframe Batch Integration

tcVISION Mainframe Batch Integration is a robust solution designed to efficiently and securely transfer application data from mainframe systems to AWS targets without impacting mainframe performance. By utilizing existing backup and recovery files—such as Db2 image copies, z/OS archive log files, IMS unloads, Adabas unloads, and PLOG files, as well as sequential and VSAM files—tcVISION MBI eliminates the need for active mainframe connections or specialized mainframe expertise. The data is compressed during transfer, and processes can be executed in parallel, ensuring optimal performance. An intuitive graphical user interface and integrated data repository provide full transparency of mainframe data, simplifying operations for users without mainframe skills. Key Features and Functionality: - Efficient Data Transfer: Transfers data from mainframe systems to AWS targets using existing backup and recovery files, minimizing mainframe impact. - No Active Mainframe Connection Required: Operates without the need for continuous mainframe connectivity, reducing resource utilization. - User-Friendly Interface: Features an intuitive GUI and integrated data repository, enabling users without mainframe expertise to manage data transfers effectively. - Data Compression and Parallel Processing: Utilizes data compression and supports parallel processing to enhance transfer efficiency. - Comprehensive Data Transformation: Offers powerful transformation capabilities to handle mainframe data conversions, including EBCDIC to ASCII or Unicode conversion, binary format conversions, packed fields, and sophisticated date format conversions. Primary Value and Problem Solved: tcVISION MBI addresses the challenges of integrating mainframe data with modern AWS environments by providing a seamless, efficient, and cost-effective solution. It enables organizations to leverage their existing mainframe data for big data analytics, business intelligence, ERP, CRM, application modernization, or mainframe offload initiatives without requiring active mainframe connections or specialized expertise. By utilizing existing backup and recovery files, tcVISION MBI minimizes mainframe impact, reduces costs, and accelerates data integration processes, empowering businesses to make data-driven decisions and modernize their IT infrastructure effectively.

Teal OneChip Global Cellular IoT eSIM (Card + Data)

The Teal OneChip Global Cellular IoT eSIM is a versatile connectivity solution designed to provide seamless, secure, and scalable global network access for Internet of Things devices. Compatible with a wide range of devices, including scooters, drones, sensors, healthcare equipment, and wearables, this eSIM enables users to connect to over 3,500 networks across 196 countries, including major U.S. carriers such as AT&T, T-Mobile, and Verizon. Key Features and Functionality: - Global Network Access: Provides native connectivity to thousands of networks worldwide, ensuring reliable performance without reliance on roaming agreements. - Flexible Deployment Options: Available as both a standard eSIM and an embedded eSIM , catering to various device requirements. - Aurora Connectivity Management Platform: Offers a comprehensive suite of tools for managing connectivity, including real-time device monitoring, data consumption tracking, billing management, and seamless network switching. - Future-Proofing IoT Deployments: Protects against network changes and upgrades, ensuring long-term scalability and cost-effectiveness. Primary Value and Problem Solved: The Teal OneChip eSIM addresses the complexities and limitations associated with traditional IoT connectivity solutions. By offering a single, programmable eSIM that can connect to multiple networks globally, it eliminates the need for multiple SIM cards and reduces dependency on specific carriers. This flexibility allows businesses to scale their IoT deployments efficiently, adapt to network changes seamlessly, and achieve cost savings by selecting the most suitable networks for their needs. Additionally, the enhanced security and redundancy features ensure reliable and secure communication for mission-critical applications.

TeamForm

TeamForm is a comprehensive platform designed to help organizations visualize, manage, and design cross-functional and hybrid human-AI teams more effectively. By integrating seamlessly with existing systems like Jira, Workday, and SAP SuccessFactors, TeamForm provides a real-time, organization-wide view of team structures, their focus areas, and their evolution. This enables businesses to connect their people, tools, and outcomes, facilitating faster delivery of value to customers. Key Features and Functionality: - Team Management: Visualize human-AI teams connected to strategy and work, creating a single source of truth for people, teams, and AI agents. - Team Planning: Enhance planning and forecasting with Planning Agents, allowing for better allocation of resources and improved workforce planning. - Team and Organizational Design: Optimize and redesign team structures to accelerate value delivery across the organization. - Integration Capabilities: Connect seamlessly with HRIS, work management, and portfolio management platforms, ensuring data consistency and accuracy. - Real-Time Insights: Gain actionable insights into team performance, resource gaps, and workforce planning through aggregated team data. Primary Value and Solutions Provided: TeamForm addresses the challenges of managing complex, cross-functional teams by providing a transparent system that connects teams to strategy and work. It reduces reliance on spreadsheets, accelerates the flow of value to customers, and enables data-driven decision-making. By offering real-time visibility into team structures and their alignment with strategic priorities, TeamForm empowers organizations to manage their matrix workforce effectively, leading to improved outcomes and reduced operational costs.

TeamViewer

TeamViewer is a leading provider of remote connectivity software for individuals and businesses of all sizes. Our remote software enables companies across various industries to enhance their efficiency and achieve their business goals by digitally transforming their processes. We offer a selection of bespoke solutions: TeamViewer Tensor, our enterprise remote connectivity solution, enables businesses to connect, manage, and protect computers, mobile devices, and embedded platforms – on site and around the globe. TeamViewer Remote, our remote access and support solution, enables secure access to devices for remote support in small and medium-sized businesses. A free version of TeamViewer Remote is available for personal use. TeamViewer is actively working to shape the digital revolution by innovating in the fields of augmented reality (AR) and the Internet of Things (IoT). Our AR platform, Frontline, brings digital technology onto the shop floor with industrial AR solutions designed to optimize manual processes. Strategic partnerships and software integrations with other industry leaders such as SAP, Google, and Microsoft let us provide our customers with a seamless experience, regardless of their device or operating system. Since TeamViewer was founded in Göppingen, Germany, in 2005, our solutions have been installed on more than 2.5 billion devices worldwide. For more information, visit www.teamviewer.com.

Average Rating: 4.5/5.0

Total Reviews: 4,080

TeamViewer ONE

TeamViewer ONE enables lean IT teams to shift from reactive support to proactive device management with a single platform that combines remote access, intelligent automation, experience monitoring, and endpoint management. With built-in security and automation, IT teams can resolve problems faster, support hybrid work confidently, and deliver exceptional digital experiences. AI is transforming IT management, empowering even small teams to deliver enterprise-level impact. By automating repetitive tasks, accelerating diagnostics, and enabling predictive insights, AI reduces time to resolution from hours to minutes and frees IT to focus on strategic priorities. With TeamViewer ONE, we combine remote connectivity, endpoint management, and Digital Employee Experience — all powered by AI for maximized value

Average Rating: 4.5/5.0

Total Reviews: 10

Tech Mahindra Entellio

Entellio is Tech Mahindra's enterprise-grade chatbot platform designed to enhance customer experiences across multiple channels. It offers a robust and flexible solution for businesses seeking to implement conversational AI capabilities. Key Features and Functionality: - Unlimited Bots Under a Single License: Deploy multiple chatbots without additional licensing costs. - GUI-Based Dialog Builder: Create and manage conversational flows through an intuitive graphical interface. - Service API Orchestration: Integrate seamlessly with existing enterprise systems via API connections. - Auto-Creation of Intents and Entities: Utilize natural language processing (NLP) to automatically generate conversational intents and entities. - AI Conversations Through NLP: Enable intelligent, context-aware interactions with users. Primary Value and Solutions Provided: Entellio addresses the need for efficient, scalable, and intelligent customer engagement solutions. By automating interactions, it provides 24/7 real-time assistance, improving customer retention through high-value engagements. The platform simplifies complex enterprise processes, offers rapid deployment with both cloud and on-premises options, and ensures consistent customer engagement across all touchpoints. This leads to enhanced operational efficiency and a superior customer experience.

Tech Mahindra Ops amplifAIer

Tech Mahindra's Ops amplifAIer is a generative AI-powered digital assistant designed to enhance the productivity of IT support engineers by providing a unified, integrated view of all contextual information and tools necessary for efficient issue resolution. By integrating with existing IT operations tools, Ops amplifAIer collects relevant data related to IT tickets or alerts and utilizes generative AI to analyze this information, identify probable root causes, recommend remediation actions, and generate corresponding automation scripts. Key Features and Functionality: - Generative AI Assistance: Speeds up root cause analysis and troubleshooting by analyzing collected data and providing actionable insights. - Automation Engine: Offers a library of reusable scripts and workflows, reducing manual intervention and promoting efficiency. - Intelligent Collaboration: Enhances incident management through human-bot interaction, enabling team collaboration and generative AI assistance capabilities. - Tool Agnostic Integration: Ensures compatibility with existing IT operations tools, allowing seamless integration without the need for tool replacement. - Enterprise Automation Catalog: Enables the reuse of automation artifacts like scripts or workflows across the enterprise, promoting standardization and efficiency. Primary Value and User Solutions: Ops amplifAIer addresses the complexity and inefficiency in IT operations by providing a centralized platform that reduces the need for support engineers to log into multiple tools. This consolidation leads to a significant increase in productivity, with potential improvements of over 40% in Level 2 and Level 3 operations. The solution also enhances incident handling efficiency by 40%, minimizing business impact during major incidents. By automating complex IT processes and reducing dependency on subject matter experts, Ops amplifAIer empowers organizations to achieve faster issue resolution, improved operational efficiency, and better customer satisfaction.

Tech Mahindra VerifAI

Tech Mahindra's VerifAI is a comprehensive solution designed to validate and verify the outcomes of Artificial Intelligence (AI) and Generative AI (GenAI) projects. It assists enterprises in ensuring the quality, security, and accuracy of their AI initiatives, facilitating a seamless transition from pilot phases to full-scale production. By providing a robust validation framework, VerifAI enables organizations to scale their AI projects efficiently and responsibly. Key Features and Functionality: - 360-Degree Validation Framework: VerifAI offers a pre-built, comprehensive validation framework that spans the entire GenAI lifecycle, ensuring thorough assessment at every stage. - Customizable Metrics: The solution provides adaptable metrics tailored to specific project requirements, allowing for precise evaluation and monitoring. - Microservices-Based Architecture: Its modular architecture facilitates seamless integration into existing technology stacks, enhancing flexibility and scalability. - Data Quality Validation: VerifAI assesses data quality during the discovery and pre-development phases, identifying biases, anomalies, and privacy concerns to ensure reliable inputs. - Model Testing and Tuning: In the development stage, it rigorously tests AI models, frameworks, and hyperparameters to guarantee security and accuracy. - Post-Deployment Verification: After deployment, VerifAI verifies and fine-tunes models to ensure outputs are consistent, explainable, and meet user expectations. Primary Value and Problem Solved: VerifAI addresses the critical challenge of moving AI projects from experimental phases to enterprise-level adoption by providing a robust validation and assurance framework. Many organizations hesitate to scale AI initiatives due to concerns over data quality, ethical considerations, security, and integration complexities. VerifAI mitigates these issues by offering a structured approach to assess, audit, and certify AI solutions across various domains and use cases. By automating validation and verification processes, it enables enterprises to responsibly leverage AI for growth and success, ensuring that AI systems perform as intended and adhere to legal and ethical standards. This leads to faster product development, improved decision-making, enhanced data integrity, and increased operational efficiency at a lower cost.

Technical Entity Recognizer

Technical Entity Recognizer (TER) is the first cognitive computing tool specialized on technical and engineering terminology. This Named Entity Recognition (NER) software is the first step to develop a pipeline able to extract, structure and manage the technical know-how of your company. Once technical entities have been recognised in a text or a corpus, you can use them for further tasks such as advanced analytics, information retrieval, clustering, classification etc.

Technical Support & System Maintenance

MiT Systems provides premium technical support and maintenance options to address the most time-critical issue resolution requirements. MiT’s support escalation process is designed to ensure that the customer’s issues and concerns are addressed in a responsive timeframe based on its severity to the customer’s operations and its priority within MiT’s support environment.

Tehama

Tehama is the industry’s most advanced enclave hosting platform. Tehama securely connects people to sensitive data and systems without the complexity. Developed in the cloud with a focus on end-users and service providers, Tehama Technologies’ cybersecurity platform offers an innovative and disruptive approach to addressing today's digital security and AI challenges. It delivers standardized, policy-based security across the enterprise, requiring zero infrastructure. This approach not only enhances the user risk profile but also ensures immediate ROI ‘out of the box’ by eliminating the need for complex and endless integration of component technologies. No more layering multiple tools or vendors, just rapid, policy-based control over how, where, and by whom data is accessed. Tehama simplifies compliance with CMMC, SOC 2 Type 2, ISO 27001, PCI and more while enabling AI governance, auditability, and complete data containment. Whether you’re securing third-party vendors, managing distributed teams, or protecting Controlled Unclassified Information (CUI), Tehama delivers the confidence and control you need to operate safely and compliantly in today’s threat environment.

Teleskope

Teleskope is a data security platform (DSPM/DLP) that helps security teams discover, classify, and automatically remediate sensitive data exposure across cloud, SaaS, collaboration, database, and AI environments — without manual triage or external remediation tools or ticketing. Designed primarily for CISOs, security operations, and GRC teams at mid-market and enterprise organizations, Teleskope addresses a gap that exists across the data security category: most platforms identify where sensitive data lives but provide no native mechanism to act on what they find. Teleskope combines deep classification with a built-in remediation engine, allowing organizations to move from finding risk to closing it in the same platform. At the core of the platform is a proprietary Data Reasoning Layer — an intelligence architecture that understands business context rather than matching against predefined patterns. This allows Teleskope to classify sensitive documents based on what they are and what they mean in a given environment, not just what regulated fields they contain. A draft M&A term sheet, a proprietary engineering formula, or a sealed legal record can each be identified as sensitive without a rule that says look for it. Key capabilities include: - Automated native remediation — inform, redact, quarantine, revoke access, relocate, or delete, enforced directly within the platform based on your policies, with no handoff to a ticketing system or external tool - Flexible deployment — air-gapped, single-tenant SaaS, or multi-tenant SaaS, covering regulated government and defense environments through to cloud-first enterprises - Broad connector coverage — cloud infrastructure (AWS, GCP, Azure), SaaS (Salesforce, ServiceNow, Workday), collaboration (Slack, Google Drive, Microsoft 365), databases (Snowflake, BigQuery, PostgreSQL), and AI tools (Microsoft Copilot, OpenAI, Claude) - AI data governance — classifies data before it reaches AI agents and copilots, blocks sensitive transfers to external LLMs, and governs what internal AI systems are trained on - Compliance-ready reporting — automated audit evidence for SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR, CCPA, and EU AI Act, with a full remediation log for every automated action. Key value propositions include: - Reduced risk exposure — high-confidence data exposure is remediated automatically and continuously, shrinking the attack surface in seconds rather than days. - Lower operational burden — security teams are freed from manual alert triage; customers report approximately one hour per week of active platform management after initial deployment. - Reduced legal and compliance liability — enforced retention policies eliminate data that has outlived its purpose, reducing what is discoverable in litigation, subject to breach. notification requirements, and exposed in regulatory inquiries. - Responsible AI adoption — security teams gain visibility and control over what data AI tools can reach before deployment, enabling organizations to adopt AI without creating ungoverned data exposure. - Faster time to value than legacy platforms — a crawl, walk, run deployment model brings customers from initial data map to governed automation in approximately six months. Teleskope is used by organizations in fintech, professional services, healthcare, hospitality, manufacturing, and the public sector, including Ramp, GoFundMe, The Atlantic, Aprio, Alloy, and Chevron Phillips.

Average Rating: 4.6/5.0

Total Reviews: 5

TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu

The "TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deep learning applications. This AMI integrates TensorFlow 1.5 with Python 2.7, optimized for NVIDIA GPUs using CUDA 9.1, all running on the Ubuntu operating system. It offers a streamlined setup for developers and researchers aiming to leverage GPU acceleration for machine learning tasks. Key Features and Functionality: - Pre-configured Environment: The AMI comes with TensorFlow 1.5 and Python 2.7 pre-installed, reducing the time and effort required for setup. - GPU Optimization: Utilizes NVIDIA GPUs with CUDA 9.1 support, enabling efficient execution of computationally intensive deep learning models. - Ubuntu OS: Built on the stable and widely-used Ubuntu operating system, ensuring compatibility and reliability. - Scalability: Easily scalable on AWS EC2 instances, allowing users to adjust resources based on project requirements. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up a deep learning environment by providing a pre-configured, GPU-optimized platform. Users can focus on developing and training machine learning models without the complexities of manual installation and configuration. By leveraging this AMI, developers and researchers can accelerate their workflows, reduce setup time, and ensure compatibility between TensorFlow, CUDA, and the underlying hardware.

TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu

The "TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu" Amazon Machine Image (AMI) is a pre-configured environment designed to streamline the development and deployment of deep learning applications. This AMI integrates TensorFlow 1.5 with Python 3.6, optimized for NVIDIA GPUs using CUDA 9.1, all within an Ubuntu operating system. Key Features and Functionality: - Pre-Configured Environment: Eliminates the need for manual setup by providing a ready-to-use deep learning framework. - TensorFlow 1.5 Integration: Offers compatibility with models and codebases developed for TensorFlow 1.5. - Python 3.6 Support: Ensures compatibility with a wide range of Python libraries and tools. - NVIDIA GPU Optimization: Utilizes CUDA 9.1 to leverage GPU acceleration, enhancing computational performance. - Ubuntu Operating System: Provides a stable and widely-used Linux environment for development. Primary Value and Problem Solved: This AMI addresses the complexities associated with setting up a deep learning environment by offering a pre-configured solution. Users can focus on developing and deploying machine learning models without the overhead of configuring software dependencies and ensuring hardware compatibility. By leveraging GPU acceleration through CUDA 9.1, it significantly reduces training times, making it ideal for production-level deep learning tasks.