Business Software for Amazon Web Services (AWS)

ClusterLion simplifies infrastructure by eliminating the necessity for intricate clusters, shared storage, and other advanced systems, which helps maintain business continuity and cut down on expenses. By doing so, it also lessens operational complexity, leading to significant cost savings. Available in two specific versions, ClusterLion for SAP and ClusterLion for MetroCluster, it caters to various business needs. In the event of a failure, ClusterLion promptly shuts down the affected side to prevent split-brain syndrome and transitions services to the unaffected side seamlessly. With ClusterLion for MetroCluster, other services remain operational even after the storage switch-over, ensuring uninterrupted service delivery. It provides a secure environment for your data while simplifying the management of your infrastructure and reducing operational demands. Additionally, due to its complete independence from any specific infrastructure, ClusterLion for MetroCluster stands out as the sole solution capable of addressing these critical challenges in the market today. By choosing ClusterLion, businesses can focus on their core operations without the burden of complex technical requirements.

RestoreManager seamlessly integrates with your systems and extracts essential metadata from files, establishing a centralized database that allows for the efficient search of specific documents. This tool enables users to recover files that were previously deemed irretrievable by conducting thorough searches based on criteria such as name, file type, date, or size. Specifically designed for Network Attached Storage (NAS), RestoreManager enhances your current backup strategies. As data volumes grow, the challenge of backing up all information becomes increasingly complex. It offers a criteria-driven search capability for locating lost or deleted files within ONTAP Snapshots. Additionally, it provides integration with both primary and secondary systems, ensuring comprehensive visibility across your data landscape. Users can experience notable time savings thanks to its rapid and intuitive search capabilities. The solution allows for backups and restorations to any S3 target, whether located in an on-premises data center or in the cloud, facilitating flexible data management. Moreover, its installation process is straightforward, allowing for easy incorporation into existing infrastructures. The licensing model is uncomplicated and does not depend on the volume of data managed, making it an accessible option for various organizations. Ultimately, RestoreManager helps streamline data recovery processes, making it an invaluable tool in today's data-driven environment.

Establish entity resolution workflows in just minutes instead of taking months to finalize. Set up sophisticated matching techniques tailored to enhance data accuracy according to your specific business requirements. Safeguard your data and limit its transfer by accessing records at their source. AWS Entity Resolution enables you to identify and connect related records without the necessity of creating custom solutions. Leverage adaptable, customizable machine learning (ML) and rule-based methods to fine-tune record matching based on your business objectives. Eliminate duplicate records for more effective information analysis, prepare your data for artificial intelligence (AI) model training, and boost your overall business performance. By utilizing unified insights, you can deliver more pertinent experiences across your advertising and marketing efforts, customer support interactions, loyalty programs, and ecommerce activities. Additionally, link SKUs, UPCs, or proprietary product identifiers into a cohesive product record to enhance tracking across various stores and supply chains, fostering a more integrated approach to inventory management. Ultimately, this streamlined process not only enhances data integrity but also drives strategic decision-making across your organization.

Navigate through the overwhelming volume of findings, gain a comprehensive understanding of risks, streamline prioritization, and work together on remediation—all from a single platform. The rise of cloud, hybrid, and cloud-native applications introduces greater complexity and scalability challenges that outdated methods simply cannot tackle. Without sufficient context from their environments, security teams find it difficult to assess and rank the risks tied to various findings. The presence of duplicate alerts from numerous tools further complicates the task for security teams, making it harder to prioritize and designate responsibility for remediation efforts. Alarmingly, 60% of breaches arise from security alerts that organizations were aware of but could not effectively assign to the right stakeholders for resolution. It is essential to clarify stakeholder responsibilities, empower self-service remediation with clear, actionable recommendations, and enhance collaborative efforts through seamless integration with existing tools and workflows, thereby creating a more organized and responsive security environment. Additionally, fostering a proactive approach will enable teams to address issues before they escalate into significant threats.

The integration of external data represents a pivotal opportunity for businesses to enhance their competitive edge across various sectors, yet many organizations face challenges in navigating the complexities of its implementation. Demyst offers comprehensive tools to assist you in identifying, acquiring, and utilizing the appropriate external data, with our specialists collaborating with you throughout the entire process. You can easily explore and immediately implement data from Demyst’s extensive catalog of sources, or our knowledgeable team can suggest and facilitate the onboarding of new options from any external data provider worldwide. Our certification program for data providers ensures that we thoroughly vet and procure data tailored to your requirements, all under a unified contractual agreement. By eliminating the dilemma of compliance versus speed, Demyst conducts continuous legal, privacy, and security assessments to guarantee that your data access remains both safe and compliant, typically onboarding new data within four weeks or less. Furthermore, Demyst expertly handles the final steps of implementation, allowing you to deploy and monitor the data you require through consistently formatted APIs or files, ensuring a seamless integration into your existing systems. This comprehensive approach streamlines your access to valuable information, empowering your business to thrive in an increasingly data-driven landscape.

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

Create your model in real-time as an interactive graph, enabling you to observe the data traversing through the visualized structure of your model. You can also modify the architecture at its most fundamental level. Graphbook offers complete transparency without hidden complexities, allowing you to see everything clearly. It performs live checks on data types and shapes, providing clear and comprehensible error messages that facilitate quick and efficient debugging. By eliminating the need to manage software dependencies and environmental setups, Graphbook enables you to concentrate on the architecture of your model and the flow of data while providing the essential computing resources. Cerbrec Graphbook serves as a visual integrated development environment (IDE) for AI modeling, simplifying what can often be a tedious development process into a more approachable experience. With an expanding community of machine learning practitioners and data scientists, Graphbook supports developers in fine-tuning language models like BERT and GPT, whether working with text or tabular data. Everything is seamlessly managed from the start, allowing you to visualize your model's behavior just as it will operate in practice, ensuring a smoother development journey. Additionally, the platform promotes collaboration by allowing users to share insights and techniques within the community.

NVIDIA® Parabricks® stands out as the sole suite of genomic analysis applications that harnesses GPU acceleration to provide rapid and precise genome and exome analysis for various stakeholders, including sequencing centers, clinical teams, genomics researchers, and developers of high-throughput sequencing instruments. This innovative platform offers GPU-optimized versions of commonly utilized tools by computational biologists and bioinformaticians, leading to notably improved runtimes, enhanced workflow scalability, and reduced computing expenses. Spanning from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks significantly boosts performance across diverse hardware setups featuring NVIDIA A100 Tensor Core GPUs. Researchers in genomics can benefit from accelerated processing throughout their entire analysis workflows, which includes stages such as alignment, sorting, and variant calling. With the deployment of additional GPUs, users can observe nearly linear scaling in computational speed when compared to traditional CPU-only systems, achieving acceleration rates of up to 107X. This remarkable efficiency makes NVIDIA Parabricks an essential tool for anyone involved in genomic analysis.

Explore a carefully designed portfolio of interconnected hardware and software, supported by a robust network of partners and a wide-ranging marketplace—our comprehensive strategy for addressing the challenges posed by digital transformation. We provide a tailored collection of modular software and IoT-capable hardware solutions, all constructed on standardized application programming interfaces to facilitate seamless interoperability. This framework allows for straightforward integration and maintenance of your business operations. Siemens Xcelerator fosters an open ecosystem that promotes collaborative innovation among customers, Siemens, and certified partners, encompassing everything from major technology firms to independent software creators. This collaborative environment enhances the scope for customization, ensuring that solutions align perfectly with your organization's specific requirements. Just like any vibrant local marketplace, this platform serves as the convergence point for diverse offerings, enhancing overall functionality and user experience.

Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment.

Modern businesses base their decisions on data. Modern privacy legislation focuses on the security and privacy data. Some businesses are built around data. As businesses move to the cloud and become more digital, it is even more important to secure data. Cloud computing offers many benefits, including flexibility and scalability. However, it also poses new challenges in terms of data protection. The sheer volume of data an organization must protect is one of the biggest challenges. Cloud computing allows enterprises to store and generate vast amounts of data with greater ease than ever before. This data is often scattered across multiple platforms and locations making it difficult to protect and track. DataGuard DSPM extends zero-trust to your hybrid cloud data stores. It develops a full understanding of the data types, where they are stored, who has access and how they're secured.

Streamline the processes of data discovery, safeguarding, and governance within your cloud workloads and SaaS applications. Effortlessly locate all instances of vulnerable sensitive data across these platforms, enabling a reduction in the potential data attack surface. Recognize and categorize sensitive information like personally identifiable information (PII), protected health information (PHI), payment card information (PCI), and proprietary company intellectual property to mitigate the risk of data breaches. Gain real-time, actionable insights on strategies to secure your cloud data and uphold compliance standards. Implement robust data access protocols to ensure minimal access privileges, bolster your security framework, and enhance resilience against cyber threats. This proactive approach not only protects your assets but also fosters a culture of security awareness within your organization.

We detect, eliminate, and manage shadow access, which refers to unauthorized and unmonitored access to cloud data, applications, and infrastructure, ensuring that potential attackers cannot exploit these vulnerabilities. By adopting an automated and risk-focused strategy, we revolutionize cloud Identity and Access Management (IAM) operations to secure and oversee cloud data effectively. This approach enables cloud and security teams to swiftly analyze all data access patterns, including who is accessing the data, what they are accessing, when and where it happens, along with understanding the reasoning behind the access and its implications for cloud data security. Stack Identity safeguards cloud data by emphasizing both the risks and impacts associated with identity, access, and data vulnerabilities, all of which are illustrated through our real-time data attack map. We assist in addressing various access risks—both human and API-related—while guiding identity practitioners, governance, compliance teams, and data owners toward taking decisive actions. Additionally, we furnish SecOps and DevOps teams with a clear and transparent perspective on cloud security threats, enabling them to make informed decisions regarding data protection strategies. Ultimately, our comprehensive approach not only enhances security but also fosters a proactive culture of compliance and risk management within organizations.

Superbar is a website-based AI sales tool designed to help companies convert more visitors without adding extra sales or support staff. The platform trains on a business’s website content, documents, products, services, and custom knowledge to provide accurate, brand-aligned answers. Unlike traditional chatbots that wait for users to ask for help, Superbar proactively engages visitors when they show signs of hesitation or intent to leave. It uses behavioral triggers, contextual prompts, personalized recommendations, and smart calls to action to move visitors closer to conversion. Businesses can use Superbar to answer product questions, qualify leads, book demos, encourage purchases, or guide users toward signup. The platform also includes content-gap analysis, helping teams discover which questions their website fails to answer. Superbar can be installed quickly with one line of code or through Shopify and WordPress integrations. Its playground lets teams test conversations, refine responses, and customize tone before going live. Superbar helps marketing, sales, and ecommerce teams improve conversion rates by providing timely AI-powered guidance on every page.

Tromzo creates a comprehensive understanding of environmental and organizational factors spanning from code to cloud, enabling you to swiftly address significant risks within the software supply chain. By focusing on the remediation of risks at each layer, from code to cloud, Tromzo constructs a prioritized risk assessment that encompasses the entire supply chain, providing essential context. This contextual information aids users in identifying which specific assets are vital for the business, safeguarding those critical components from potential risks, and streamlining the remediation process for the most pressing issues. With a detailed inventory of software assets, including code repositories, software dependencies, SBOMs, containers, and microservices, you gain insight into what you possess, who manages it, and which elements are crucial for your business's success. Additionally, by assessing the security posture of each team through metrics such as SLA compliance and MTTR, you can effectively promote risk remediation efforts and establish accountability throughout the organization. Ultimately, Tromzo empowers teams to prioritize their security measures, ensuring that the most important risks are addressed promptly and effectively.

Implement preventive measures and safeguard all cloud interactions during both the development and operational phases, irrespective of your usage methods. The task of identifying cloud misconfigurations often places a significant strain on the teams that must respond to and rectify alerts. While it is well-recognized that prevention represents the most effective form of control, no solution has previously existed that simplifies the enforcement of preventive cloud security across all services, until now. Kivera empowers organizations by allowing them to establish precise cloud guardrails tailored to their needs. Achieve foundational protection for your enterprise with ease. By utilizing a single click, you can activate essential safeguards designed to address the most frequent sources of cloud breaches—basic misconfigurations—and ensure that your cloud environment remains secure. This innovative approach not only enhances security but also streamlines compliance efforts across your organization.

Streamline your operations, reduce expenses, and enhance customer trust through no-code automation workflows. Boost your security Governance, Risk, and Compliance (GRC) maturity by implementing seamless and automated processes that span across different functional areas. This comprehensive approach will provide all the essential information needed to achieve and sustain compliance with various security frameworks and IT settings. Gain valuable continuous insights into your compliance status and risk management. By harnessing the power of genuine automation, you can reclaim thousands of hours previously spent on manual tasks. Ensure that security policies and procedures are actively enforced to uphold accountability. Experience a holistic audit automation solution that encompasses everything from generating and customizing audit scopes to collecting evidence across different data silos and conducting thorough gap analyses, all while producing reports that auditors can trust. Audits can be simplified and made significantly more efficient compared to traditional methods. Shift from disorder to compliance effortlessly and gain immediate clarity on the access rights and permissions of your employees and user base. Embrace this transformative journey towards a more organized and secure operational landscape.

Data plays a crucial role in every facet of a processing plant or facility, serving as the backbone for most operational workflows, critical business decisions, and various environmental occurrences. Often, failures can be linked back to this very data, manifesting as operator mistakes, faulty sensors, safety incidents, or inadequate analytics. APERIO steps in to address these challenges effectively. In the realm of Industry 4.0, data integrity stands as a vital component, forming the bedrock for more sophisticated applications, including predictive models, process optimization, and tailored AI solutions. Recognized as the premier provider of dependable and trustworthy data, APERIO DataWise enables organizations to automate the quality assurance of their PI data or digital twins on a continuous and large scale. By guaranteeing validated data throughout the enterprise, businesses can enhance asset reliability significantly. Furthermore, this empowers operators to make informed decisions, fortifies the detection of threats to operational data, and ensures resilience in operations. Additionally, APERIO facilitates precise monitoring and reporting of sustainability metrics, promoting greater accountability and transparency within industrial practices.

Fluidstack is a high-performance AI infrastructure platform built to deliver scalable and secure compute resources for demanding workloads. It provides dedicated GPU clusters that are fully isolated, ensuring consistent performance without shared resource interference. The platform includes Atlas OS, a bare-metal operating system designed for fast provisioning, orchestration, and full control of infrastructure. Fluidstack also offers Lighthouse, a system that monitors, optimizes, and automatically resolves performance issues in real time. Its infrastructure is engineered for speed and reliability, enabling rapid deployment of GPU resources. The platform supports large-scale AI training, inference, and other compute-intensive applications. Fluidstack is designed for enterprises, AI research labs, and government organizations that require advanced computing capabilities. It provides strong security features, including compliance with standards like GDPR, SOC 2, and ISO certifications. The platform offers human support with fast response times to ensure operational stability. Fluidstack enables teams to scale infrastructure efficiently as their needs grow. Overall, it provides a robust and flexible solution for AI-driven computing at scale.

Utilize flespi to consolidate standardized data from diverse IoT and telematics sources, oversee devices remotely, enhance messages, and conduct real-time data analysis. Establish connections with a wide range of GPS trackers for vehicles, assets, personal devices, scooters, mopeds, and bikes from multiple manufacturers. Incorporate additional data from BLE tags, beacons, various meters, and other sensing instruments to enrich the overall dataset. Stream telemetry information from the online platforms supplied by different vehicle manufacturers. Our collaboration with GPS tracker producers allows us to employ a robust proprietary protocol description language, ensuring no byte goes unexamined. By standardizing the naming conventions of the most frequently used data points across various protocols, we facilitate easier data consumption while improving accuracy and efficiency. This approach not only enhances interoperability but also promotes a seamless experience for users managing their IoT devices.

SiteWhere utilizes Kubernetes for deploying its infrastructure and microservices, making it versatile for both on-premise setups and virtually any cloud service provider. The system is supported by robust configurations of Apache Kafka, Zookeeper, and Hashicorp Consul, ensuring a reliable infrastructure. Each microservice is designed to scale individually while also enabling seamless integration with others. It presents a comprehensive multitenant IoT ecosystem that encompasses device management, event ingestion, extensive event storage capabilities, REST APIs, data integration, and additional features. The architecture is distributed and developed using Java microservices that operate on Docker, with an Apache Kafka processing pipeline for efficiency. Importantly, SiteWhere CE remains open source, allowing free use for both personal and commercial purposes. Additionally, the SiteWhere team provides free basic support along with a continuous flow of innovative features to enhance the platform's functionality. This emphasis on community-driven development ensures that users can benefit from ongoing improvements and updates.

Begin engaging with your organization's collaborators on TIDWIT, where you can exchange and access pertinent and current information, including educational resources, training opportunities, and marketing initiatives. By integrating the TIDWIT platform with your current systems, you can effortlessly deliver partner content to your users. We have made significant advancements to our innovative TIDWIT platform, introducing dynamic ecosystem knowledge management features. These new developments empower both providers and their partners to effectively manage and tailor their content and workflows on a larger scale. At TIDWIT, our enthusiasm extends beyond digital ecosystems; we are equally committed to preserving the natural environments around us, which is why we established the TIDWIT foundation. TIDWIT is at the forefront of streamlining and automating the way businesses link their content and workflows within our ecosystems network. By simplifying partner ecosystem enablement in a cost-efficient and scalable manner, TIDWIT is revolutionizing your enterprise into an exterprise, fostering greater collaboration and innovation. Embrace this transformation and unlock new opportunities for growth together.

Generative AI and Large Language Models (LLMs) offer an exciting opportunity to harness the hidden potential of unstructured data, enabling businesses to gain immediate access to crucial insights. This advancement creates fresh avenues for companies to rethink their customer interactions, innovate products and services, and enhance team efficiency. Baioniq, developed by Quantiphi, is an enterprise-focused Generative AI Platform hosted on AWS, tailored to assist organizations in swiftly integrating generative AI capabilities tailored to their unique needs. For AWS clients, baioniq is packaged in a container format and can be easily deployed on the AWS infrastructure. It delivers a flexible solution that empowers modern businesses to customize LLMs by integrating domain-specific information and executing specialized tasks in just four straightforward steps. Furthermore, this capability allows companies to remain agile and responsive to changing market demands.

Efficiently disseminate analyses, visual representations, and performance metrics across various departments and programs. Enable data reuse and empower staff to convert data into valuable insights regarding financial, operational, and strategic results. Improve the accessibility and quality of open data, which fosters transparency and encourages citizen participation. Leverage cloud-based data intelligence in real-time, ensuring a unified source of reliable data. A contemporary, secure cloud infrastructure with self-service options is essential for effective data-driven governance. The comprehensive data platform serves as a cohesive solution aimed at placing data at the forefront of all government endeavors, policies, and decisions. Integrate data silos into a singular access point that provides reliable and current information, showcasing trends, enhancing financial scrutiny, lowering costs, and involving public officials across regions. Promote transparency, accountability, and collaboration between public and private sectors by sharing relevant internal data with outside stakeholders. This approach not only enriches the decision-making process but also builds trust within the community.

ApartmentIQ is multifamily’s all-in-one, daily data platform covering 40M units. It integrates daily property and market signals into modern tools for market surveys, investment research, and revenue management. Owners, operators, and investors use ApartmentIQ to benchmark performance, price confidently, and move faster – trusted by 65% of the NMHC Top 50.