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Not only does Brightly Software provide a cloud-based CMMS (computerized maintenance management system) built specifically for capital forecasting, but we also offer you best practices for how to get the most out of your assets, equipment life cycle and more. Discover new methods and models for forecasting that equate to more time and money saved at your organization.

NVIDIA AI Enterprise is a comprehensive, cloud-native software platform designed to accelerate the development and deployment of production-grade AI applications, including generative AI, computer vision, and speech AI. It offers over 100 frameworks, pretrained models, and development tools, providing enterprise-grade security, stability, and support to streamline AI workflows and ensure business continuity. Key Features and Functionality: - Extensive AI Tools: Access to a vast array of frameworks and pretrained models to facilitate diverse AI applications. - Enterprise-Grade Support: Regular security patches, API stability, and end-to-end management software to maintain robust and secure AI operations. - Cloud-Native and Hybrid Compatibility: Optimized for deployment across public clouds, virtualized data centers, and on-premises infrastructure, ensuring flexibility and scalability. - Generative AI Enablement: Includes tools like NVIDIA NeMo for customizing pretrained foundation models to meet specific business needs. Primary Value and Solutions Provided: NVIDIA AI Enterprise simplifies the AI development lifecycle by offering a unified platform that reduces development time and costs while improving accuracy and performance. By providing a secure and stable environment, it mitigates the risks associated with open-source software, ensuring reliable and efficient AI deployments for mission-critical applications. Its compatibility with various deployment environments allows organizations to develop applications once and deploy them anywhere, facilitating a seamless transition from pilot projects to full-scale production.

AWS CodeDeploy is a fully managed deployment service that automates software deployments to various compute services, including Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. By automating the deployment process, CodeDeploy enables rapid release of new features, minimizes downtime during application updates, and simplifies the complexity associated with updating applications. It supports a wide range of application content, such as code, serverless functions, configuration files, and more, without requiring changes to existing code. Key Features and Functionality: - Automated Deployments: CodeDeploy fully automates application deployments across development, test, and production environments, eliminating manual operations and reducing the risk of errors. - Minimized Downtime: The service supports rolling updates and blue/green deployments, ensuring applications remain available during updates. It monitors application health and can automatically roll back changes if issues are detected. - Centralized Control: Users can launch, control, and monitor deployments through the AWS Management Console, AWS CLI, SDKs, or APIs, providing detailed insights into deployment progress and history. - Scalability: CodeDeploy scales with infrastructure, allowing deployments to a single instance or thousands, and integrates with Auto Scaling to maintain application performance during traffic spikes. - Flexibility: Being platform and language agnostic, CodeDeploy works with any application and allows reuse of existing setup code. It integrates seamlessly with existing software release processes and continuous delivery toolchains. Primary Value and Problem Solved: AWS CodeDeploy addresses the challenges of manual, error-prone application deployments by providing an automated, scalable, and flexible solution. It enables organizations to rapidly release new features, maintain high application availability during updates, and manage complex deployment processes with ease. By automating deployments, CodeDeploy reduces the risk of human error, accelerates the release cycle, and ensures consistent application performance across various environments.

Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that enables developers to integrate speech-to-text capabilities into their applications effortlessly. Powered by advanced machine learning models, it delivers high-accuracy transcriptions for both streaming and recorded audio across a wide range of languages. Organizations across various industries utilize Amazon Transcribe to automate manual transcription tasks, extract valuable insights, enhance accessibility, and improve the discoverability of audio and video content. Key Features and Functionality: - Real-Time and Batch Transcription: Supports both live audio streams and pre-recorded files, providing flexibility for different use cases. - Custom Vocabulary and Language Models: Allows users to add domain-specific terminology and train custom language models to improve transcription accuracy. - Speaker Diarization: Identifies and labels different speakers in an audio file, facilitating clear attribution in conversations. - Automatic Punctuation and Formatting: Enhances readability by adding punctuation and formatting numbers appropriately. - Content Redaction: Automatically detects and redacts sensitive information, such as personally identifiable information (PII), to maintain privacy and compliance. - Channel Identification: Processes multi-channel audio files and provides a single transcript annotated with respective channel labels, beneficial for contact centers and media applications. - Language Identification: Automatically detects the dominant language in an audio file, streamlining workflows involving multilingual content. Primary Value and Problem Solved: Amazon Transcribe addresses the challenge of converting speech into accurate, readable text, enabling businesses to unlock the value hidden within their audio data. By automating transcription processes, it reduces the time and resources required for manual transcription, enhances content accessibility, and facilitates the analysis of customer interactions, meetings, and media content. This leads to improved customer experiences, better compliance with privacy regulations through automated redaction, and the ability to derive actionable insights from audio and video materials.

Itelgie is an AI-powered HR and people operations platform designed to help organizations manage the entire employee lifecycle through a single, connected ecosystem. The platform combines HR, recruiting, learning management, workforce planning, employee performance, collaboration, and analytics, reducing the need for multiple disconnected tools. Built-in AI capabilities streamline routine HR processes, including CV parsing, employee profile creation, candidate evaluation, feedback generation, and workforce insights. By automating repetitive tasks and improving data consistency, Itelgie helps HR teams focus on strategic initiatives while providing managers with greater visibility into employee performance, skills, capacity, and organizational trends. Enterprise-grade integrations enable seamless synchronization with existing HR, ERP, and business systems, allowing organizations to modernize people operations without disrupting their current technology stack. Its modular architecture enables Itelgie to be adopted as a standalone HR solution or expanded to support broader workforce and business operations as organizational needs evolve.

Dell Data Protection Suite is a comprehensive software solution designed to safeguard critical data across diverse IT environments, including physical, virtual, and cloud infrastructures. It offers a unified platform for backup, recovery, and management, ensuring data integrity and availability. Key Features and Functionality: - Comprehensive Data Protection: Supports a wide range of applications, databases, and platforms, providing consistent protection across various environments. - Cloud Integration: Facilitates backup to cloud, backup in-cloud, long-term retention, and cloud disaster recovery, enhancing flexibility and scalability. - Advanced Cyber Resilience: Employs machine learning algorithms for anomaly detection, offering proactive defense against cyber threats and ensuring rapid recovery from incidents. - Automated Operations: Features automated policy management and discovery of databases, virtual machines, file systems, and Kubernetes containers, streamlining data protection processes. - Flexible Deployment Options: Offers both on-premises and cloud-based deployment models, catering to the specific needs of organizations of all sizes. Primary Value and User Solutions: Dell Data Protection Suite addresses the critical need for robust data security in an era of increasing cyber threats and complex IT infrastructures. By providing a centralized and automated approach to data protection, it simplifies management, reduces operational overhead, and ensures business continuity. Organizations benefit from enhanced data resilience, compliance with regulatory requirements, and the confidence that their data assets are secure and recoverable in any scenario.

V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and real-time collaboration between multiple teams of annotators, engineers, and domain experts. V7 Darwin integrates with popular ML frameworks and infrastructure and maintains high security and compliance standards (SOC 2, HIPAA), which makes it suitable for industries such as healthcare, retail, security, and manufacturing.

Rulex Platform is a comprehensive, no-code data management and decision intelligence system designed to empower businesses to build, monitor, integrate, run, and maintain enterprise-level solutions based on their data. Its intuitive drag-and-drop interface allows users to seamlessly automate operational decisions without the need for programming expertise. The platform comprises two core components: - Rulex Factory: The primary component that enables users to perform a wide range of data operations, including preparation, pre-processing, rule management, machine learning, and optimization, all within a unified environment. - Rulex Studio: An interactive dashboard builder designed for business users to visualize and share insights derived from data. Key Features and Functionality: - Self-Coding Capabilities: As users design workflows through the graphical interface, Rulex automatically generates optimized code in the background, combining the flexibility of custom programming with user-friendly design. - Explainable AI: Unlike traditional "black box" AI models, Rulex employs clear-box algorithms that produce interpretable if-then logic rules, ensuring transparency and auditability in decision-making processes. - Exceptional Performance: The platform boasts top-tier execution times, capable of processing vast volumes of data without performance degradation, even on standard hardware setups. - Business-Tailored Optimization: Rulex offers high-level tasks that facilitate process optimization using business key values, eliminating the need for complex mathematical formulations. - Extensive Production Support: The platform provides integrated tools to automate decision-making processes, reducing employee time-to-productivity, enabling rapid development cycles, and simplifying production deployment. Primary Value and User Solutions: Rulex Platform addresses the challenge of complex data management and decision-making by offering a no-code solution that combines human expertise with data-driven insights. It empowers business users to autonomously automate and optimize operational decisions, reducing reliance on programmers or data scientists. By providing transparent, explainable AI models, Rulex ensures that decisions are auditable and understandable, fostering trust and compliance. Its high-performance capabilities allow organizations to process large datasets efficiently, leading to faster, more informed decisions and improved business outcomes.

Cuebo is an AI-powered platform designed to enhance the performance of frontline sales teams by providing intelligent automation tools that streamline onboarding and daily operations. By integrating advanced AI agents, Cuebo enables sales representatives to practice real-life sales conversations, receive instant feedback, and analyze customer interactions, leading to improved conversion rates and reduced ramp-up times for new hires. Key Features and Functionality: - AI Roleplay: Simulates real-world sales scenarios, allowing reps to practice customer interactions and objection handling. - Sales Intelligence Engine: Automatically updates training scenarios based on sales outcomes and individual performance metrics. - Multi-Modal Feedback: Provides instant, customizable feedback on voice, video, and content aspects of sales pitches. - Progress Tracking: Monitors individual and team performance across training sessions, offering actionable insights. - CRM Integration: Seamlessly integrates with existing CRM systems to push insights and streamline workflows. Primary Value and Solutions: Cuebo addresses common challenges in sales organizations by accelerating the onboarding process, enhancing sales readiness, and improving overall team performance. By offering realistic role-play scenarios and comprehensive analytics, it helps sales teams increase win rates, decrease ramp-up times, and boost managerial efficiency. The platform's adaptability to various sales workflows ensures that organizations can tailor training and assessment to their specific needs, resulting in a more competent and confident sales force.

Amazon WorkSpaces Secure Browser is a fully managed, cloud-native service that enables secure access to internal websites, software-as-a-service (SaaS) applications, and the public internet. By streaming encrypted pixels from a remote browser session running in the AWS cloud to the user's local device, it ensures that sensitive corporate data never touches the end user's device, thereby mitigating the risk of unauthorized data exfiltration. This solution eliminates the need for IT departments to manage specialized client software, infrastructure, or virtual private network (VPN) connections, simplifying the management of secure web access. Key Features and Functionality: - Enhanced Security Controls: Administrators can enforce enterprise browser policies, including URL allow/block lists, and implement session-level controls for clipboard, file transfer, and printing. Access can be restricted to trusted networks or devices using IP Access Controls. - Data Protection: By isolating the actual browser and web content within AWS, no HTML, document object model (DOM), or sensitive company data is transmitted to the local machine, effectively reducing the risk of data exfiltration. - Simplified Management: The service is easy to set up and operate, with each session launching a fresh, fully patched version of the Chrome Browser, complete with company policies and settings applied. - Cost Efficiency: Starting at $7 per month, WorkSpaces Secure Browser offers a cost-effective solution for secure web access without the complexities associated with traditional virtual desktops or VPNs. - Support for Bring-Your-Own-Device (BYOD): Since it works with the web browser already installed on the end-user's device, it's ideal for organizations implementing BYOD initiatives, allowing employees to securely access company resources from their personal devices. Primary Value and User Solutions: Amazon WorkSpaces Secure Browser addresses the critical need for secure, managed web access in today's digital workplace. It provides a protected environment for users to access private websites and SaaS applications without exposing sensitive data to potential threats. By isolating the device, corporate network, and internet from each other, the browser attack surface is virtually eliminated. This solution is particularly beneficial for organizations looking to enhance security controls, protect data, simplify IT management, reduce costs, and support BYOD policies. It empowers customer support agents, back-office employees, and remote or hybrid workers by providing secure access to web-based applications and internal portals, thereby enabling productivity without compromising security.

Enpass Password Manager is a comprehensive solution designed to securely store and manage passwords, passkeys, and other sensitive information across multiple devices. Unlike traditional password managers that store data on centralized servers, Enpass allows users to store their encrypted vaults locally or sync them using their preferred cloud services, such as iCloud, Google Drive, OneDrive, Dropbox, Nextcloud, or WebDAV. This approach ensures that users have full control over their data, enhancing privacy and security. Key Features and Functionality: - Cross-Platform Compatibility: Enpass is available on various platforms, including Windows, macOS, Linux, Android, iOS, and even wearable devices, ensuring seamless access to your data across all your devices. - Offline Access: Users can store their data locally on their devices, providing access to passwords and other information without the need for an internet connection. - Cloud Syncing: For those who prefer cloud synchronization, Enpass supports integration with popular cloud storage services, allowing encrypted data to be synced across devices. - Password Generator: Enpass includes a customizable password generator to create strong, unique passwords, enhancing security for online accounts. - Password Audit and Breach Monitoring: The application audits stored passwords for weaknesses and monitors for website breaches, alerting users to potential security risks. - Biometric Authentication: Enpass supports biometric authentication methods, such as fingerprint and facial recognition, for quick and secure access to vaults. - Multiple Vaults: Users can create multiple vaults to organize and separate personal, work, and family credentials, providing better management and sharing options. - Browser Extensions: Enpass offers browser extensions for major browsers, enabling automatic form filling and password capture for a streamlined browsing experience. Primary Value and User Solutions: Enpass addresses the critical need for secure and convenient password management by offering a decentralized storage model, giving users complete control over their data. By allowing local storage and integration with trusted cloud services, Enpass minimizes the risk associated with centralized data breaches. Its cross-platform availability ensures that users can access their credentials anytime, anywhere, while features like password auditing and breach monitoring proactively enhance security. The inclusion of biometric authentication and multiple vaults caters to both individual and organizational needs, making Enpass a versatile and reliable choice for managing sensitive information.

AIMMS Prescriptive Analytics Platform is a unique advanced analytics, modeling and optimization platform that supports complex business decision making at every organizational level. Organizations can quickly create high business impact with apps that address both strategic and daily operational challenges such as supply chain optimization, strategic sourcing, pricing, workforce optimization, portfolio optimization and production planning and scheduling.

Silo 2 is a focused 3D modeling application with the ability to effortlessly switch between organically sculpting high-polygon models and precisely controlling hard-edged surfaces. It can be used for anything from creating 3D characters for video games and movies to quickly exploring 3D architectural ideas.

Azure Container Registry is a fully managed service that enables organizations to build, store, secure, and manage container images and artifacts in a private registry. It supports Docker and Open Container Initiative (OCI) images, facilitating seamless integration with various Azure services and container orchestration platforms. Key Features and Functionality: - Comprehensive Artifact Storage: Beyond container images, Azure Container Registry supports related content formats such as Helm charts and OCI artifacts, providing a unified storage solution for diverse containerized applications. - Automated Build and Patch Pipelines: With Azure Container Registry Tasks, users can automate the building, testing, and patching of container images. This includes automatic rebuilding of application images when base images are updated and integration with Git repositories for code-driven triggers. - Global Scalability with Geo-Replication: The service offers geo-replication capabilities, allowing a single registry to be replicated across multiple Azure regions. This ensures low-latency access and high availability for globally distributed applications. - Enhanced Security Measures: Azure Container Registry integrates with Microsoft Entra ID for authentication, supports role-based access control, and offers features like Docker Content Trust for image signing. Additionally, it provides vulnerability scanning through integration with Microsoft Defender for Containers. Primary Value and User Solutions: Azure Container Registry simplifies the management of containerized applications by offering a secure, scalable, and integrated platform for storing and handling container images and artifacts. It streamlines the development lifecycle with automated build and patch processes, enhances deployment efficiency through global replication, and fortifies security with advanced access controls and vulnerability assessments. This comprehensive approach addresses the challenges of container lifecycle management, enabling organizations to focus on innovation and delivery without the overhead of infrastructure management.

Sphinx Declic is a comprehensive SaaS solution designed for creating, distributing, and analyzing online surveys efficiently. It offers an intuitive interface that guides users through the entire survey process—from questionnaire design to data analysis—without the need for prior installation. This makes it ideal for conducting quick, effective, and professional surveys. Key Features and Functionality: - User-Friendly Questionnaire Design: Provides over 15 question types and customizable templates to align with your brand identity. - Versatile Distribution Channels: Supports multiple dissemination methods, including email with follow-ups, offline collection via smartphones and tablets, QR codes for in-store or postal surveys, and integration with social media platforms like Facebook and Twitter. - Real-Time Data Analysis: Offers automatic processing of survey responses, cross-tabulation, filtering, customizable tables and charts, qualitative analysis of open-ended responses, and real-time sharing of results. - Enhanced User Experience: Features an updated ergonomic design for a more straightforward and modern user experience, along with the ability to import external data to streamline data utilization. Primary Value and User Solutions: Sphinx Declic empowers organizations to conduct professional-grade surveys with ease and speed. Its all-in-one, web-based platform eliminates the complexities typically associated with survey creation and analysis. By offering a range of distribution channels and real-time analytical tools, it enhances response rates and provides actionable insights promptly. This solution is particularly beneficial for businesses and researchers seeking an efficient, cost-effective method to gather and interpret data, thereby facilitating informed decision-making.

UiPath Maestro is a cloud-native orchestration platform designed to manage and optimize complex, long-running business processes by seamlessly integrating AI agents, robotic process automation (RPA bots, and human collaboration. It enables organizations to model, implement, monitor, and continuously improve workflows across diverse systems, ensuring efficient and intelligent automation. Key Features and Functionality: - Process Modeling: Utilize industry-standard notations like BPMN (Business Process Model and Notation and DMN (Decision Model and Notation to design and govern business processes and rules. - Unified Orchestration: Coordinate tasks across AI agents, RPA bots, and human participants, facilitating dynamic and adaptive workflows. - Event-Sourced Execution: Employ an event-driven engine to execute processes at scale, with capabilities to fix, restart, modify, and manage versions of running instances. - Real-Time Monitoring and Optimization: Monitor live process instances, analyze performance metrics, identify bottlenecks, and implement improvements based on real-time data. - Built-In Trust and Governance: Define business rules and guardrails using standard notations, ensuring security, predictability, and compliance within automated workflows. Primary Value and Problem Solved: UiPath Maestro addresses the challenge of orchestrating complex, multi-system business processes by providing a centralized platform that integrates AI, automation, and human collaboration. It enhances operational efficiency by automating repetitive tasks, reduces response times in critical processes, and ensures transparency and traceability through real-time monitoring. By unifying agentic AI, automation, BPM, and process intelligence, Maestro empowers organizations to design, run, and optimize intelligent workflows, fostering innovation and growth.

uniFLOW is a comprehensive print and document management solution designed to streamline printing, scanning, and device management within organizations. Its modular architecture allows businesses to tailor the system to their specific needs, enhancing productivity and reducing operational costs. Key Features and Functionality: - Secure Printing: Ensures that documents are only released upon user authentication, safeguarding sensitive information. - Mobile Printing: Supports printing from various mobile devices, providing flexibility for users working remotely or on the go. - Cost Tracking and Reporting: Monitors printing, copying, and scanning activities, enabling accurate cost allocation to users, departments, or projects. - Device Authentication: Controls access to devices through multiple authentication methods, such as PIN codes, ID cards, or mobile devices. - Print Job Routing: Redirects print jobs from costly desktop printers to more efficient multifunctional devices or print rooms, optimizing resource utilization. - Environmental Sustainability: Implements print policies like duplex and black-and-white printing by default, reducing paper and toner consumption. Primary Value and Solutions Provided: uniFLOW addresses several critical challenges faced by organizations: - Cost Reduction: By monitoring and controlling print activities, uniFLOW helps organizations identify and eliminate unnecessary expenses, leading to significant cost savings. - Enhanced Security: The solution's secure printing and device authentication features protect confidential documents from unauthorized access, mitigating the risk of data breaches. - Improved Productivity: With streamlined workflows and mobile printing capabilities, employees can efficiently manage their document-related tasks, regardless of their location. - Environmental Responsibility: By enforcing eco-friendly print policies, uniFLOW supports organizations in their sustainability initiatives, reducing waste and promoting responsible resource usage. In summary, uniFLOW offers a versatile and scalable platform that empowers organizations to manage their print and document processes effectively, ensuring security, cost efficiency, and environmental sustainability.

Our Platform is a modern solution to improve supplier performance. We help supply chain organizations capture and communicate costly errors to their supplier community to reduce avoidable costs and improve product flow.

FutureVault is the world’s most intelligent, secure, and collaborative digital vault platform trusted by modern enterprises, financial institutions, and professionals around the world. Our digital vault platform makes it easy to store, organize & share valuable information with your back office, advisors, and clients in one centralized place.

Kubeflow is an open-source platform designed to facilitate the deployment, orchestration, and management of machine learning (ML) workflows on Kubernetes. It provides a comprehensive suite of tools that cover the entire ML lifecycle, enabling data scientists and engineers to develop, train, and deploy models efficiently in scalable and portable environments. Key Features and Functionality: - Kubeflow Notebooks: Offers web-based development environments, such as Jupyter Notebooks, running inside Kubernetes pods, allowing for interactive model development. - Kubeflow Pipelines: Enables the creation and deployment of portable, scalable ML workflows using Kubernetes, promoting consistency and reproducibility. - Kubeflow Trainer: Supports distributed training across various AI frameworks, including PyTorch, Hugging Face, DeepSpeed, MLX, JAX, and XGBoost, facilitating large-scale model training. - Kubeflow Katib: Provides automated machine learning capabilities, including hyperparameter tuning, early stopping, and neural architecture search, to optimize model performance. - Kubeflow KServe: Delivers a standardized platform for serving ML models across multiple frameworks, ensuring scalable and efficient model inference. - Kubeflow Model Registry: Acts as a centralized repository for managing ML models, versions, and associated metadata, bridging the gap between model experimentation and production deployment. Primary Value and Problem Solved: Kubeflow addresses the complexities associated with deploying and managing ML workflows by leveraging Kubernetes' scalability and portability. It abstracts the intricacies of containerization, allowing users to focus on building, training, and deploying models without worrying about the underlying infrastructure. By automating various stages of the ML lifecycle, Kubeflow enhances reproducibility, efficiency, and collaboration among data scientists and engineers, ultimately accelerating the development and deployment of machine learning solutions.