Business Software for APERIO DataWise

Seeq is the first app that focuses on process data analytics. Search your data, add context, model, cleanse, find patterns, establish boundaries and collaborate in real-time with time series data. No matter what your operational data system or process historian - the OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation or Inductive Automation's Ignition - Seeq can connect and get to work in minutes. What's missing in the current hype about predictive analytics, machine learning and data science is solutions to the real problems that an analytics-driven company faces. Your current employees' expertise. Collaboration and knowledge capture are key to fostering sharing and reuse of analytics efforts. The ability to quickly distribute insights to those who need them to improve outcomes.

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

Achieve limitless data retention for Apache Kafka® with Confluent, empowering you to be infrastructure-enabled rather than constrained by outdated systems. Traditional technologies often force a choice between real-time processing and scalability, but event streaming allows you to harness both advantages simultaneously, paving the way for innovation and success. Have you ever considered how your rideshare application effortlessly analyzes vast datasets from various sources to provide real-time estimated arrival times? Or how your credit card provider monitors millions of transactions worldwide, promptly alerting users to potential fraud? The key to these capabilities lies in event streaming. Transition to microservices and facilitate your hybrid approach with a reliable connection to the cloud. Eliminate silos to ensure compliance and enjoy continuous, real-time event delivery. The possibilities truly are limitless, and the potential for growth is unprecedented.

Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.

Amazon Timestream is an efficient, scalable, and serverless time series database designed for IoT and operational applications, capable of storing and analyzing trillions of events daily with speeds up to 1,000 times faster and costs as low as 1/10th that of traditional relational databases. By efficiently managing the lifecycle of time series data, Amazon Timestream reduces both time and expenses by keeping current data in memory while systematically transferring historical data to a more cost-effective storage tier based on user-defined policies. Its specialized query engine allows users to seamlessly access and analyze both recent and historical data without the need to specify whether the data is in memory or in the cost-optimized tier. Additionally, Amazon Timestream features integrated time series analytics functions, enabling users to detect trends and patterns in their data almost in real-time, making it an invaluable tool for data-driven decision-making. Furthermore, this service is designed to scale effortlessly with your data needs while ensuring optimal performance and cost efficiency.

Prefect is a Python-native automation platform built to orchestrate workflows and power AI applications at scale. It allows developers to convert simple Python functions into fully observable workflows using a lightweight, open-source framework. Prefect eliminates the need for complex rewrites while supporting production-grade orchestration. The platform offers managed services through Prefect Cloud, reducing operational overhead with autoscaling and enterprise security. Prefect Horizon provides managed AI infrastructure, enabling teams to deploy MCP servers and connect AI agents to internal systems. Both platforms run on the same codebase written by developers. Prefect delivers deep observability to help teams debug and optimize workflows efficiently. With zero vendor lock-in and Apache 2.0 licensing, it offers flexibility and control. Prefect is trusted by companies across industries to automate mission-critical processes. It supports faster deployment and reduced operational costs.

The DeltaV S-series Electronic Marshalling utilizing CHARMs allows for flexible placement of field cabling, independent of the type of signal or control methodology employed. The DeltaV™ Distributed Control System (DCS) is designed to streamline automation processes, which reduces operational challenges and mitigates project risks effectively. This advanced collection of products and services enhances plant efficiency through intuitive control solutions that are straightforward to manage and service. Importantly, the DeltaV DCS is adaptable, easily scaling to fit your specific requirements without introducing additional complexity. Furthermore, the seamless integration capabilities of the DeltaV system encompass various functions including batch processing, advanced control, change management, engineering tools, diagnostics, and much more, ensuring a comprehensive solution for your operational needs. Ultimately, this flexibility and integration pave the way for improved productivity and reliability in industrial environments.

Beyond Limits' LUMINAI Refinery Advisor equips refinery teams with the tools necessary to plan, manage, and enhance their processes, resulting in quicker decision-making and greater consistency across shifts. This innovative advisor allows users to comprehend the rationale behind recommendations by offering a clear and interactive audit trail that details suggested remedial actions for operations. By providing uniform local and non-local remediation suggestions, it accelerates operator performance when deviations from the plan occur. Additionally, it standardizes the creation and implementation of operational strategies by outlining expected performance metrics and integrating mitigation strategies. The advisor further boosts shift performance through operational insights and visualizations of crucial metrics, which create a feedback loop for refinery planners. In the current power industry landscape, organizations often face challenges such as revenue losses, extended periods of downtime, and reduced asset longevity. Addressing these operational and maintenance issues through the integration of artificial intelligence is essential for enhancing overall efficiency and driving value in the power sector. Additionally, by leveraging AI technology, refineries can continuously improve their operations and adapt to changing market demands.

Apache Arrow establishes a columnar memory format that is independent of any programming language, designed to handle both flat and hierarchical data, which allows for optimized analytical processes on contemporary hardware such as CPUs and GPUs. This memory format enables zero-copy reads, facilitating rapid data access without incurring serialization delays. Libraries associated with Arrow not only adhere to this format but also serve as foundational tools for diverse applications, particularly in high-performance analytics. Numerous well-known projects leverage Arrow to efficiently manage columnar data or utilize it as a foundation for analytic frameworks. Developed by the community for the community, Apache Arrow emphasizes open communication and collaborative decision-making. With contributors from various organizations and backgrounds, we encourage inclusive participation in our ongoing efforts and developments. Through collective contributions, we aim to enhance the functionality and accessibility of data analytics tools.

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

OpenTSDB comprises a Time Series Daemon (TSD) along with a suite of command line tools. Users primarily engage with OpenTSDB by operating one or more independent TSDs, as there is no centralized master or shared state, allowing for the scalability to run multiple TSDs as necessary to meet varying loads. Each TSD utilizes HBase, an open-source database, or the hosted Google Bigtable service for the storage and retrieval of time-series data. The schema designed for the data is highly efficient, enabling rapid aggregations of similar time series while minimizing storage requirements. Users interact with the TSD without needing direct access to the underlying storage system. Communication with the TSD can be accomplished through a straightforward telnet-style protocol, an HTTP API, or a user-friendly built-in graphical interface. To begin utilizing OpenTSDB, the initial task is to send time series data to the TSDs, and there are various tools available to facilitate the import of data from different sources into OpenTSDB. Overall, OpenTSDB's design emphasizes flexibility and efficiency for time series data management.

The design driven by community collaboration ensures quicker access to cutting-edge innovations, while open source coding allows for customization based on specific requirements. Experience rapid data access with software designed for exabyte-scale, enhancing both the scalability and efficiency of storage media. This solution is specifically optimized to accommodate growth in HDD capacity, ensuring data durability and facilitating recovery processes. You can now obtain CORTX, a thoroughly tested and supported version, packaged with our integrated infrastructure solution, Lyve Drive™ Rack. With Lyve Drive Rack, we are transforming enterprise storage by offering a cohesive solution that combines up to 1.7PB of storage with CORTX object storage, providing the necessary capacity without incurring costly software licensing fees. Enjoy scalable performance without global locks across various data types, including consistent object, key-value, file, and clusters. This approach not only enhances your data experience but also adds organization to unstructured data, enabling seamless access, rapid search capabilities, and efficient analysis. Furthermore, this innovative solution is designed to adapt to the evolving needs of your business, ensuring that you are always equipped with the latest advancements in storage technology.

The Kubeflow initiative aims to simplify the process of deploying machine learning workflows on Kubernetes, ensuring they are both portable and scalable. Rather than duplicating existing services, our focus is on offering an easy-to-use platform for implementing top-tier open-source ML systems across various infrastructures. Kubeflow is designed to operate seamlessly wherever Kubernetes is running. It features a specialized TensorFlow training job operator that facilitates the training of machine learning models, particularly excelling in managing distributed TensorFlow training tasks. Users can fine-tune the training controller to utilize either CPUs or GPUs, adapting it to different cluster configurations. In addition, Kubeflow provides functionalities to create and oversee interactive Jupyter notebooks, allowing for tailored deployments and resource allocation specific to data science tasks. You can test and refine your workflows locally before transitioning them to a cloud environment whenever you are prepared. This flexibility empowers data scientists to iterate efficiently, ensuring that their models are robust and ready for production.

Noodle Enterprise AI® effectively addresses risks within your digital supply chain, allowing you to eliminate unseen waste and enhance profitability. Even the most sophisticated supply chain systems face challenges when it comes to managing unexpected disruptions, which is precisely where Noodle.ai steps in. Our software anticipates financial risks associated with near-term execution and suggests proactive measures that enhance profits by minimizing waste. Through advanced AI engines, we identify intricate patterns within your data, forecast probabilistic outcomes, and present the Value-at-Risk (VAR) related to your base plan's near-term execution. This clarity equips planners and operators with a comprehensive understanding of their financial stakes. By utilizing prioritized AI-driven recommendations, organizations can effectively mitigate previously unnoticed financial risks. Additionally, the VAR dashboard illustrates the cumulative financial effects of all decisions, offering executives a clear perspective on the waste that has been successfully addressed. This comprehensive approach not only streamlines operations but also empowers decision-makers to act more strategically.

Falkonry transforms data from the physical world into actionable information through advanced AI-driven visibility and insights. By enabling continuous monitoring of all assets and processes within your facility, it ensures that human focus is directed toward significant signals. Users gain immediate insights into both established and emerging reliability and quality concerns through a comprehensive exploration and explanation of various events. The platform efficiently navigates extensive data sets to resolve incidents and systemic challenges without the need for extensive training or setup time. With its Predictive Maintenance features, Falkonry enhances uptime and productivity in vertical casting and hot rolling operations. Additionally, its Continuous Process Monitoring capabilities improve production efficiency and product quality in processes involving lyophilizers and isolators. Through Condition-based Maintenance Plus, users can achieve success by detecting adverse conditions and anomalies early on. The patented machine learning core delivers real-time, actionable insights accompanied by explanations, empowering informed decision-making. Ultimately, Falkonry not only streamlines operational processes but also supports organizations in optimizing their overall performance and reliability.

Foster innovation, expansion, and eco-friendliness by utilizing a reliable cloud platform that caters specifically to the requirements of the industrial sector. With over 10,000 active users each month, businesses around the globe rely on our industrial cloud solution to integrate their data and connect their communities. Equip your ecosystem with trustworthy information and insights tailored to your sector, enabling you to confidently undertake your most significant projects from the site to the cloud. Customize your digital approach and scale effortlessly with a flexible subscription model that grants you complete control over your resources. Take advantage of our preconfigured AI enhancements to access real-time industrial insights. Explore innovative work methods that enhance productivity, engagement, and carbon efficiency through our as-a-service solutions. Speed up the realization of value with industrial SaaS offerings that are straightforward to deploy, securely manage, and accessible across any global enterprise. With our platform, you can ultimately transform the way your organization operates, paving the way for future growth and sustainability.

Yokogawa's Enterprise Pipeline Management Solution (EPMS) offers a robust suite of standard software applications for pipeline management that seamlessly integrate with the FAST/TOOLS real-time system platform, enhancing operational efficiency. Drawing on extensive experience gained from various projects within the oil and gas pipeline sector, EPMS significantly minimizes the time required for application deployment while ensuring the reliability of fully-tested, industry-standard algorithms for measurement, monitoring, and system oversight. The most recent version of EPMS introduces the capability to perform multiple product cuts from a single interface, allowing for improved management of product quality. This feature supports the integration of product density meters, enabling the detection of quality variations at the interface, which further streamlines the process of handling quality gradations in pipeline operations. By addressing these critical aspects, EPMS not only optimizes operations but also enhances overall product integrity.

Broaden your business operations by utilizing cloud technology. Seamlessly enhance SAP solutions quickly and efficiently without causing disruptions to critical business functions, all while building on your current investments and expertise. Swiftly create dependable and scalable cloud-native applications. Utilize your established ABAP knowledge to develop new extensions or update existing custom applications. Foster innovation for increased business agility by employing cloud-native, low-code, and dynamic event-driven applications. Speed up results through the optimization of intelligent business processes. Explore, configure, enhance, and refine business processes by linking experiential data with operational workflows. Acquire valuable and actionable insights to predict business outcomes and identify fresh revenue and growth possibilities. Leverage the capabilities of predictive analytics and machine learning to improve decision-making. Integrate real-time intelligence within your business applications. Furthermore, enhance and tailor the user experience for your customers, partners, and employees, ensuring their needs and preferences are met effectively. This holistic approach not only drives efficiency but also fosters a culture of continuous improvement and innovation.

Honeywell Forge is an advanced analytics software solution that delivers real-time insights and visual intelligence for users. Its connectivity is built on a flexible platform that can be deployed across various cloud or data center environments. This solution offers a comprehensive, organization-wide perspective, showcasing the status of processes, assets, personnel, and safety measures. Additionally, Honeywell Forge is designed to be persona-based, allowing customization for specific roles within a company. Utilizing digital twins, the software harnesses real-time data to compare performance against industry best practices, thus uncovering potential improvement opportunities. Users can navigate from a broad enterprise view down to specific sites and units, gaining deeper insights into the opportunities identified, including details on processes and assets involved. With this information, actionable recommendations can be implemented to address issues and realize the benefits that have been pinpointed. Furthermore, this capability not only enhances operational efficiency but also empowers organizations to make informed strategic decisions.

The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.

Protect your business from chargebacks and fraudulent activities by utilizing Canary's digital credit card authorization system. This solution is compliant with PCI Level-1 standards, ensuring that sensitive information is handled securely. According to PCI regulations, it is crucial to avoid transmitting credit card details through insecure channels. Traditional methods of gathering credit card data on paper forms are problematic, as they do not allow for validation of the card's authenticity, increasing the risk of fraud. The issue of chargebacks in the hotel industry is often linked to outdated paper-based practices. These processes require guests to print, manually fill out, and fax forms, which can be cumbersome and frequently leads to errors due to missing or unreadable information, resulting in the need for guests to redo the forms. Instead, you can simplify this process by providing each guest with a personalized link that directs them to a secure online form for entering their credit card details. Once they complete the authorization, your team will receive an email notification, streamlining communication. Additionally, with Canary’s intuitive web dashboard, you can easily monitor and manage authorizations, giving you valuable insights over time and enhancing overall operational efficiency. This modern approach not only minimizes errors but also ensures a smooth experience for both the guests and your staff.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

CitectHMI software caters specifically to the unique requirements of original equipment manufacturers (OEMs), providing a versatile and user-friendly operator interface solution for machinery, plant, and equipment producers. It is particularly beneficial for manufacturers of PC-based data acquisition systems seeking enhanced capabilities, such as advanced displays, trending, alarming, and historical data storage in their product lineup. This software combines the essential features of the largest SCADA system worldwide with the proven reliability of the leading monitoring and control package available. Moreover, it supports language switching for multilingual displays, making it suitable for global use. The OLE automation feature allows for the automatic creation of custom graphics, enhancing usability. Additionally, Operator Panel Builders can leverage this adaptable, branded software interface to set their hardware apart from competitors, ensuring a distinct market presence. This comprehensive approach not only meets current industry demands but also positions manufacturers for future growth and innovation.