Amazon Web Services (AWS) Integrations

Avalor’s data fabric enables security teams to expedite their decision-making processes while enhancing accuracy. Our architecture seamlessly combines various data sources, such as legacy systems, data lakes, data warehouses, SQL databases, and applications, to deliver a comprehensive perspective on business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all driven by the capabilities of the data fabric. Security operations gain from swift, dependable, and precise evaluations of enterprise data, encompassing areas like asset coverage, compliance reporting, ROSI analysis, and vulnerability management, among others. Typically, security teams navigate through a multitude of specialized tools and products, each serving different purposes and generating unique outputs. This overwhelming diversity in data can complicate efforts to prioritize tasks and identify where problems exist. In order to respond promptly and accurately to business inquiries, it is essential to leverage data from throughout the organization effectively. By consolidating insights, teams can focus on critical issues and enhance overall security posture.

Easily train and deploy large-scale AI models with just a single command by pointing to your S3 bucket—then let us take care of everything else, including orchestration, efficiency, node failures, and infrastructure management. The process is straightforward and scalable, allowing you to utilize MosaicML to train and serve large AI models using your own data within your secure environment. Stay ahead of the curve with our up-to-date recipes, techniques, and foundation models, all developed and thoroughly tested by our dedicated research team. With only a few simple steps, you can deploy your models within your private cloud, ensuring that your data and models remain behind your own firewalls. You can initiate your project in one cloud provider and seamlessly transition to another without any disruptions. Gain ownership of the model trained on your data while being able to introspect and clarify the decisions made by the model. Customize content and data filtering to align with your business requirements, and enjoy effortless integration with your existing data pipelines, experiment trackers, and other essential tools. Our solution is designed to be fully interoperable, cloud-agnostic, and validated for enterprise use, ensuring reliability and flexibility for your organization. Additionally, the ease of use and the power of our platform allow teams to focus more on innovation rather than infrastructure management.

Transfer your data seamlessly into your customer's cloud data lake or warehouse without ever having to leave your own system. By connecting Bobsled to your data source, you can select the specific bucket or warehouse for your data transfer, and Bobsled will take care of the rest. There’s no need to manage multiple accounts or construct complex pipelines. Designed on each platform’s sharing protocol, Bobsled offers data providers a secure and effortless way to share data, eliminating the challenges of managing a multi-cloud environment. Considering that data integration consumes 70% of the time that teams spend working with external datasets, Bobsled empowers your clients to quickly access analysis-ready data directly in the environments they are accustomed to. Additionally, users can easily track and manage every data share through a single interface, enabling them to initiate shares, automate data transfers, resolve any errors, and monitor usage efficiently. Ultimately, this streamlined process enhances productivity and allows teams to focus more on insightful analysis rather than tedious data logistics.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

Developing machine learning applications should be effortless and seamless. UnionML is an open-source framework in Python that enhances Flyte™, streamlining the intricate landscape of ML tools into a cohesive interface. You can integrate your favorite tools with a straightforward, standardized API, allowing you to reduce the amount of boilerplate code you write and concentrate on what truly matters: the data and the models that derive insights from it. This framework facilitates the integration of a diverse array of tools and frameworks into a unified protocol for machine learning. By employing industry-standard techniques, you can create endpoints for data retrieval, model training, prediction serving, and more—all within a single comprehensive ML stack. As a result, data scientists, ML engineers, and MLOps professionals can collaborate effectively using UnionML apps, establishing a definitive reference point for understanding the behavior of your machine learning system. This collaborative approach fosters innovation and streamlines communication among team members, ultimately enhancing the overall efficiency and effectiveness of ML projects.

Having clear, precise, and well-structured data is essential for comprehending clients and facilitating significant transformations. Traverse is a cloud-enabled, commercially available document management system tailored specifically for human services organizations, focusing on document and forms management along with mobility solutions. Leveraging the robust infrastructure of Amazon Web Services (AWS), Traverse ensures comprehensive security, reliable disaster recovery, and consistent uptime. For an organization to achieve maximum impact, it is vital that every team member has access to the necessary tools that enable them to perform their duties efficiently and effectively each day. By utilizing Traverse, users can gain insight into specific client cases and documents while seamlessly navigating through data across various program areas, ultimately enhancing service delivery. This level of accessibility and organization can significantly improve overall operational effectiveness within the agency.

Introducing a groundbreaking 4D Infrastructure designed to shape the industrial metaverse, this platform enables large-scale industrial enterprises to measure, analyze, and seamlessly integrate AI-driven automation into their foundational operations. By creating live digital replicas of actual processes, we capture ground-level activities and convert them into real-time data streams. Our advanced AI technology then discerns critical variances that lead to inefficiencies, reduced output, and unsafe working conditions, all in an instant. This empowers clients to rethink and automate their workflows, tapping into previously unrecognized value. Utilizing contextual insights, our sensors work in tandem to validate and enhance the reliability of collected data, revealing the true dynamics of personnel and operations. The journey begins with the automatic integration of data from 3D models and 2D layouts, allowing us to accurately map out the physical environment, including the positioning and functionalities of all existing sensors within the facility, ensuring a comprehensive understanding of the operational landscape. This innovative approach not only streamlines processes but also fosters a culture of continuous improvement and operational excellence.

Automate the detection of anomalies to comply with service level agreements while overseeing the entire network landscape. Enhance digital experiences by modernizing security protocols, utilizing an agentless, AI-driven strategy that takes advantage of your current infrastructure. Implement a least privilege access policy and establish identity-based protections that encompass applications, devices, and the overall infrastructure. Receive immediate alerts for any escalations and review comprehensive session activities and details through integrated logging systems. Facilitate device fingerprinting to achieve valuable insights into network topology, while ensuring smooth integration with existing infrastructure. Streamline connectivity and governance from campus environments to cloud services. With Lumeus, organizations can harness AI to monitor and identify escalations, segment traffic to thwart lateral movement, and enhance user access security through the implementation of multi-factor authentication and zero trust principles, all managed from a single, coherent platform. Additionally, Lumeus provides a cloud management portal that connects seamlessly to your infrastructure via API, allowing for enhanced oversight and control. This holistic approach enables organizations to respond proactively to threats and optimize their security posture effectively.

With Onebeat, you can effectively separate your operations from long-term inaccurate forecasts. This innovative platform utilizes three key drums that influence your inventory and merchandise strategies, including availability, variety, and freshness. By leveraging these drums, Onebeat's AI algorithms improve your planning and execution processes, ensuring a smooth merchandise flow from sourcing to in-season management. Retailers face the challenge of satisfying escalating customer expectations for product availability, personalization, and freshness while navigating shorter product life cycles, broader assortment options, and issues with both popular items running low and surplus stock. In this complex landscape, it’s crucial to have a platform that simplifies these complexities and adapts to the constantly shifting market dynamics. Onebeat independently tracks the real-time demand for each SKU at every location, enabling it to respond instantly and maintain the ideal inventory levels and service standards for every product at all times. This adaptability not only enhances operational efficiency but also empowers retailers to stay competitive in an ever-evolving industry.

The vMX Series offers advanced routing functions tailored for both business and broadband solutions, incorporating features like route reflection and customer premises equipment (CPE) applications. This robust platform is designed to support a range of optional virtualized services, thereby enhancing its versatility across various applications. Operating on the Junos OS, the vMX utilizes the programmable Trio chipset microcode compatible with x86 chipsets, mirroring the performance of a traditional edge router. It is accessible as licensed software for x86 servers on platforms such as AWS, AWS GovCloud (U.S.), and Microsoft Azure. With its adaptable deployment models and diverse licensing options—whether granular, perpetual, or subscription-based—you have the opportunity to start on a smaller scale, accelerate your growth, and maintain profitability over time. This flexibility makes the vMX Series a compelling choice for organizations looking to optimize their networking infrastructure.

The Granica AI efficiency platform significantly lowers the expenses associated with storing and accessing data while ensuring its privacy, thus facilitating its use for training purposes. Designed with developers in mind, Granica operates on a petabyte scale and is natively compatible with AWS and GCP. It enhances the effectiveness of AI pipelines while maintaining privacy and boosting performance. Efficiency has become an essential layer within the AI infrastructure. Using innovative compression algorithms for byte-granular data reduction, it can minimize storage and transfer costs in Amazon S3 and Google Cloud Storage by as much as 80%, alongside reducing API expenses by up to 90%. Users can conduct an estimation in just 30 minutes within their cloud environment, utilizing a read-only sample of their S3 or GCS data, without the need for budget allocation or total cost of ownership assessments. Granica seamlessly integrates into your existing environment and VPC, adhering to all established security protocols. It accommodates a diverse array of data types suitable for AI, machine learning, and analytics, offering both lossy and fully lossless compression options. Furthermore, it has the capability to identify and safeguard sensitive data even before it is stored in your cloud object repository, ensuring compliance and security from the outset. This comprehensive approach not only streamlines operations but also fortifies data protection throughout the entire process.

HCL IntelliService is a cutting-edge platform that utilizes AI to enhance service delivery, ultimately turning customer service into a pathway for customer success. It comes equipped with several pre-built connectors that facilitate data integration from various sources, including customer relationship management systems, sales force automation tools, and enterprise service management applications, all within multi/hybrid cloud environments. By employing state-of-the-art technologies like cognitive search, conversational AI, and workflow automation, the platform significantly elevates the customer experience while also equipping service agents with advanced tools and analytics designed to expedite resolution times. With HCL, businesses can harness the power of an AI-enhanced productivity platform, leading to a decrease in the volume of customer support calls and a faster turnaround in resolving service requests throughout the customer service lifecycle. This innovative approach not only streamlines operations but also fosters a more engaged and satisfied customer base.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

Astrix provides a robust solution for ensuring that your essential systems maintain secure connections to third-party cloud services by enhancing access management and threat mitigation for various elements such as API keys, OAuth tokens, and service accounts. Our agentless and straightforward deployment process allows you to identify and address risky app-to-app interactions that could lead to supply chain compromises, data leaks, and regulatory breaches. You will receive a comprehensive overview of all connections to your vital systems, including both internal and external applications, access keys, secrets, and operational workflows. Additionally, you can identify and eliminate over-privileged, unnecessary, and untrusted connections, and receive alerts if any application exhibits suspicious behavior. This proactive approach not only safeguards your infrastructure but also promotes a culture of security awareness within your organization.

Scrut is a comprehensive AI-powered GRC platform designed to help organizations manage risk, security, and compliance in a more intelligent and automated way. It provides real-time insights into an organization’s security posture by monitoring risks across infrastructure, applications, employees, and third-party vendors. The platform automates key processes such as control monitoring, evidence collection, and audit preparation, reducing the burden of manual work. Scrut offers a library of pre-built compliance frameworks, policies, and templates, enabling faster implementation and continuous compliance. Its AI-powered teammates provide guidance for remediation, risk assessments, and compliance tasks, helping teams resolve issues quickly. The platform also supports customizable workflows, allowing businesses to tailor their security programs to their unique needs. With seamless integrations, Scrut connects with existing tools to streamline operations and improve collaboration. It enables organizations to manage multiple compliance frameworks simultaneously without redundancy. The system ensures audit readiness by continuously tracking compliance status and validating evidence. Overall, Scrut empowers organizations to move beyond basic compliance and build a proactive, scalable security program.

Tessell simplifies the deployment of cloud databases with elegance and ease. Our comprehensive managed database service handles all your data infrastructure and management requirements efficiently. Transform high-performance computing into a robust framework that guarantees zero data loss. Ensure enterprise-grade protection for your database with features like multi-AZ high availability, cross-region disaster recovery, and business continuity planning. Enjoy policy-driven, consumer-grade data management across various environments such as Production, UAT, QA, and Development, all centralized in one platform. Managed and hosted by Tessell, you can set up a fully-managed database service in less than ten minutes with just a few straightforward steps. Whether you choose to use your own data or opt for sample data, you can fully utilize the data applications available. Modernizing your databases is a breeze with just a single click using Tessell, which also guarantees optimal performance at a fraction of the cost. Safeguard your production database with continuous backups of transactional data and logs, while also enabling the creation and storage of diverse data types, including table dumps and anonymized data, for use in secondary environments. This innovative approach not only enhances data management but also streamlines operational efficiency across your organization.

Conductor serves as a dynamic platform tailored for visual storytellers, enabling them to create and render content on an extensive scale. With its elastic, scalable, and secure infrastructure, Conductor alleviates the burden of compute-intensive operations, allowing studios, artists, and technologists to perform production-scale rendering swiftly and seamlessly in the cloud. Designed by artists for artists, Conductor is founded on three core principles: user-friendliness, collaboration, and time optimization. Our dedicated team comprises both cloud experts and VFX technical artists who are committed to enhancing the user experience and continually pushing the boundaries of cloud-based rendering capabilities. Additionally, our engineers take great pleasure in developing sophisticated solutions to intricate challenges, ensuring that creativity can thrive without technical limitations.

Explore over 20 different types of resources and seamlessly navigate to the AWS console across various accounts and regions. With context-aware syntax highlighting, you can easily identify pertinent details within your Cloudwatch logs. Additionally, you can swiftly browse and query your DynamoDB tables, utilizing a full-text search to locate your data efficiently. Lola is an incredibly fast desktop application available for macOS, Windows, and Linux platforms. Simply install and launch the app—there's no need to modify your AWS account settings. It’s designed to enhance your cloud management experience without any complicated setup.

Seamlessly connect your clouds, locations, users, and even SD-WAN fabrics, all while ensuring comprehensive end-to-end security. Instantly bring together users, locations, and cloud services into a unified experience. Enhance your network with segmentation and utilize integrated troubleshooting tools, all within a single platform. There’s no need to invest in hardware, download software, or familiarize yourself with new cloud environments; you only pay for what you utilize, making your network flexible and adaptable. Achieve unparalleled visibility across your entire cloud network, regardless of provider, platform, or geographic constraints. With Alkira Cloud Network as a Service, you can implement genuine end-to-end security that safeguards essential infrastructure and sensitive business information. Alkira’s Cloud Network is specifically designed and built for the cloud, eliminating the need for agent deployment or additional virtual management overheads. By streamlining the process, Alkira transforms networking, enabling you to provision and deploy cloud networking and security resources in mere minutes, thus enhancing operational efficiency. Embrace a new era of networking with Alkira, where simplicity and security come together for optimal performance.

At Vaex.io, our mission is to make big data accessible to everyone, regardless of the machine or scale they are using. By reducing development time by 80%, we transform prototypes directly into solutions. Our platform allows for the creation of automated pipelines for any model, significantly empowering data scientists in their work. With our technology, any standard laptop can function as a powerful big data tool, eliminating the need for clusters or specialized engineers. We deliver dependable and swift data-driven solutions that stand out in the market. Our cutting-edge technology enables the rapid building and deployment of machine learning models, outpacing competitors. We also facilitate the transformation of your data scientists into proficient big data engineers through extensive employee training, ensuring that you maximize the benefits of our solutions. Our system utilizes memory mapping, an advanced expression framework, and efficient out-of-core algorithms, enabling users to visualize and analyze extensive datasets while constructing machine learning models on a single machine. This holistic approach not only enhances productivity but also fosters innovation within your organization.

The modern workplace has evolved into a hybrid model, with a significant portion of employees working remotely, accessing essential business applications and data from diverse locations and utilizing various devices in unique ways. Consequently, organizations worldwide are striving to shift from traditional hardware-centric IT frameworks to entirely software-defined infrastructures. Their goal is to empower employees to maintain productivity, security, and a seamless experience, irrespective of their physical locations or the devices and networks they engage with. However, they face numerous challenges, including concerns over data security, the complexities of IT infrastructure, and the rising costs related to establishing a robust digital workspace. In response to these challenges, Accops Digital Workspace offers a comprehensive end-user computing solution grounded in zero-trust principles, facilitating secure and immediate access to business applications from any location, device, or network. The suite of solutions provided by Accops also encompasses virtualization for end-user computing, ensuring that users have a reliable and efficient experience tailored to their needs. This innovative approach not only addresses the immediate demands of the hybrid workforce but also sets the stage for future advancements in digital work environments.

Accops HyWorks empowers today’s workforce with the ability to work flexibly and dynamically from any location, device, and time, significantly boosting job satisfaction and engagement among employees. This all-encompassing solution streamlines the management and security of applications, devices, and networks, ensuring that employees have safe and seamless access to the essential tools they need to excel in their roles. Furthermore, its centralized endpoint management simplifies the oversight of all devices, virtual desktops, and applications from a single point, making it incredibly efficient. Not only does HyWorks foster a secure work environment, but it also alleviates complexities that can distract employees from their core business functions, allowing them to channel their creativity more effectively, which in turn enhances productivity and lowers costs. By virtualizing and delivering desktop applications from a centralized data center, organizations can maintain control over every device, app, and operating system within their network, effectively preventing potential security breaches. The result is a harmonized workplace where technology enhances rather than hinders business operations.

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.