aspenONE Asset Performance Management (APM) Alternatives

Build. Test. Automate. Empower your whole team to build and maintain automated tests, not just developers. Meet your testing demands fast. Get full test coverage in days, not months. Our natural-language tests are extremely stable to code changes. When tests break our AI will repair it in minutes. Go Agile/DevOps by setting up Continuous Testing. Push features in production the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)

eMaint is an award-winning, cloud-based Computerized Maintenance Management System (CMMS) software designed to improve how organizations manage their maintenance reliability operations, resources, equipment, and compliance. Suitable for any size organization or enterprise, eMaint saves companies valuable time and money by integrating the tools they need in one powerful platform. It covers work order management, maintenance scheduling, reports and dashboards, predictive maintenance, preventive maintenance, mobile maintenance, inventory management, and asset management.

The SBS Quality Management Software Suite (QMS Suite) is a group of 5 software modules that work together for efficient Quality compliance. The QMS Suite can be deployed on your local server or accessed from our cloud server. Each module is designed for ease-of-use to reduce training overhead and improve overall compliance. Password controlled access and privileges ensure you may control access to critical features for each user. The SBS QMS Suite of modules: SBS Quality Database - CAPA / 8D with root cause analysis - Nonconformance management - Risk analysis (FMEA, SWOT, risk register) - Audit management SBS Ground Control - Employee training management (LMS) - Document control SBS Asset Tracking Database - Calibrated equipment - Preventive maintenance SBS Inspection Database - Data collection / SPC - Control Plans SBS Vendor Management - Approved vendor list / AVL - Supplier qualification plans Great product for efficient and affordable QMS Compliance.

Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.

DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2). DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.

Recognize patterns in operating data that predict degradation and impending failure – well before it happens. Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions. Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks, not months. Aspen Mtell and Aspen Cloud Connect™ integration enables access to OPC UA-supported devices. Recognize patterns in operating data that predict degradation and impending failure – providing the first layer of protection against asset degradation. Using AI-assisted agent creation, complement existing maintenance strategies to quickly deploy autonomous agents site- or enterprise-wide. Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions. Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks.

Meet production deadlines and revenue goals with fewer unplanned disruptions. Status dashboards and automatic alerts notify operations staff and managers of impending failure so you have time to identify issues and fix them – before they turn into costly problems. Move toward predictive and prescriptive maintenance strategies to address known sources of failure and performance degradation without driving up costs. Avoid costly just-in-case preventive part replacements by identifying leading indicators of breakdowns. Quickly and accurately identify root causes using advanced analytics, data mining and data visualization to detect hidden patterns in the data. Troubleshoot performance issues faster and more effectively – and understand why they happened so you can take corrective action quickly.

Digital transformation unlocks the potential of your assets and empowers you to adopt predictive maintenance (PdM) strategies. With the ability to look ahead, you can prevent costly failures, reduce downtime, and focus on shaping what’s next. Our comprehensive Asset Performance Management (APM) software portfolio is designed to overcome today’s industrial challenges by leveraging industrial big data, Cloud, artificial intelligence, digital twin, and augmented reality. With improved analysis, you’ll eliminate inefficiencies, optimize operations, and improve profitability. A unifying multi-dimensional information model to aggregate data from multiple sources and provide context for use with reporting/ dashboard tools. Improve plant performance in near real-time by enabling rich analytics in your BI tool on industrial data. Connect your people, processes, and technology to rapidly deploy a risk-based asset strategy tied to business objectives.

With Amper, connect any kind of machine in 30-minutes without any PLC or IT integration. Get real-time, actionable data and use downtime root causes, alerts, and dashboards to transform your operations. Track the performance of every machine on your factory floor. Identify underlying problems using modern dashboards and reports. Respond quickly to anomalies with text message alerts. Amper analyzes electricity data to give you real-time insights into each of your machines. The plug-and-play system is compatible with any kind of equipment and can be deployed in minutes. Non-invasive sensors and cellular connectivity make the installation simple and easy with only one person. See your entire factory at a glance and quickly respond to incidents with dashboards and text message alerts. Target high impact problems with actionable reports. Enable data-driven continuous improvement and OEE tracking.

OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. Without any programming or coding experience teams can analyze their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis into individual components so you can focus your efforts. Improve safety, compliance and environmental outcomes through artificial intelligence predictive insights, allowing you to plan interventions and make informed business decisions. With rapid deployment & AI model results in just minutes, you can unleash the power of your operational data and experience ROI. Optimize your entire facility, plant or worksite.

Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.

Solution for monitoring and predictive analysis of equipment condition, optimization of maintenance and repair processes. Predictive analysis of production process quality. Potential exceeding the maximum permissible load on equipment through unit operation analysis. Avoiding emergency shutdowns through predictive analysis of unit condition. Quality repair work assessment by comparing of equipment before/after operation. Automatic control of manual repair and maintenance operations. For maintenance and repair through predictive analysis of equipment condition. For purchase of new equipment through intelligent load balancing of existing assets. For spare parts and consumables according to intelligent failure prediction. Quality repair work assessment by comparing of equipment before/after operation. Automatic control of manual repair and maintenance operations.

Proactively monitor machine and plant health to ensure optimal uptime, throughput, and maintenance needs. Leverage the benefits of analytics and Industrial IoT technology to gain deeper insight into plant-floor equipment and enable predictive maintenance. Monitor machine health to reduce production disruption due to surprise outages and machine failures. Drive predictive maintenance to decrease the time it takes to diagnose machine health events and improve historical data traceability. Contextualize IT/OT data in a single view to connect plant floor data with MES data and support informed decision making. Use real-time data collection and built-in analytics to capture and analyze live data on machine health and performance, compare machines against a desired state, and generate early notifications of potential disruption to reduce overtime labor, scrap, emergency maintenance costs and over P&L impacts.

Maintain and service the performance of physical assets with real-time insights, the IoT, machine learning, mobility and advanced and predictive analytics. Plan, schedule, and execute maintenance operations better by integrating intelligent technologies that deliver new value and optimize your processes. Share best practices for optimal deployment, management, and maintenance of equipment. Manage assets and customer service processes more effectively with a single repository for asset and equipment information. Reduce equipment downtime and maximize asset productivity with an automated approach to tracking equipment usage information.

Power Factors’ Drive platform is a cloud-based asset performance management (APM) software solution for renewable assets. Drive empowers owners, operators, and asset managers with tools to monitor, manage and optimize the performance of renewable energy assets — from operations to reporting to technical asset management. Drive Pro builds on the data foundation established by the Drive platform to deliver advanced analytic insights that connect stakeholders across all aspects of asset performance management — from plant design to predictive modeling to O&M. Our asset-centric enterprise asset management (EAM) system, Drive O&M, seamlessly integrates with the Drive platform, connecting operational events, maintenance history, and compliance/contractual requirements for each asset. Automated workflows and failure categorizations help increase asset lifetime value while streamlining O&M processes.

Eugenie’s powerful decision framework enables industrial organizations to get the maximum value out of their assets and processes. At Eugenie, we have made AI an invisible, yet a robust force to ensure industrial operational efficiency and reliability. We have built Eugenie as an inclusive system of technology, efficiency, and trust. Eugenie’s unique framework of Explainable AI empowers decision-makers with data-driven conclusions. Armed with root-cause analysis and predictive insights, Eugenie’s digital ecosystem enables informed decision-making. The corporative ecosystem of Eugenie comprises of congruence between human and machine capabilities. Eugenie’s AI-first approach encompasses user-centric designs to improve machine and process reliability. We consider technology as an ally to augment human efficiency. Eugenie’s highly agile digital infrastructure makes it an ideal solution for quick industrial insight generation.

As industries become increasingly technically advanced, it is more important than ever to ensure plant profitability with an organized, accountable maintenance program. MP2 is a completely integrated asset management system enabling your company to organize and track inventory, manage equipment costs, track equipment history, schedule preventive maintenance tasks, maintain confidential labor records, allocate resources, generate work orders, requisition and purchase parts, and project equipment failures. MP2 accommodates any size facility. You can install MP2 on a standalone or client/server system. Furthermore, MP2 has seamless upgrade capability. For example, you can enter data into a standalone version, and then upgrade it to a client/server system with no additional data entry. This level of user control has contributed to making MP2 the choice of more maintenance professionals than any other maintenance management system in the world.

With Connect2Assets, maintenance teams can leverage real-time condition data with their existing workflows. After receiving an alert, users can create a work order, enter failure codes, book spare parts and record labor time all within the Connect2Assets app. Manage tasks by including additional documentation within the work order, such as drawings, instructions or wiring diagrams. Index existing automation systems against your EAM/CMMS solution, allowing software to intelligently monitor the equipment it manages. Without purchasing additional hardware, teams can track asset health by leveraging existing PLC/SCADA-generated, condition and process data points. Connect2Assests aggregates industrial data from multiple locations and merges it with IBM Maximo. Leveraging Connect2Assets allows Maximo users to tap into previously unused SCADA/PLC data. Make better informed maintenance decisions with more data.

Fluke Connect™ software collects, stores and makes viewable machine data from more than 80 Fluke tools and sensors. Measurements can now be stored in the cloud, where teams can always access the data on their smart device or computer. Whether your maintenance and reliability team is gathering data from condition monitoring sensors or from portable test tools, they now have all the data they need to make critical decisions and complete necessary jobs. Decrease time-consuming, routine rounds by installing remote sensors that upload data to the cloud. No more clipboards, discrepancies or data silos; just easily-accessible asset data on your smart device. Fluke Connect Condition Monitoring™ software allows teams view asset trends on graphs from connected condition monitoring devices. Personnel can complete data analysis, providing teams with insights they use to predict asset condition and avoid downtime.

Shield34 is the ONLY web automation framework that: Is 100% Selenium compatible! Continue working with your existing Selenium scripts. Create new scripts using Selenium API. Addresses the Selenium flaky tests issues by using self healing, smart defenses, error recovery mechanisms and dynamic element locators. Provides AI based anomaly detection and root cause analysis to quickly analyze failed tests and see what changed and what caused the failure. Eliminate Flaky Tests. Flaky tests are a huge pain! Shield34 adds defense-and-recovery AI algorithms to every Selenium command, including dynamic element locator, eliminating false positive results, driving self-healing and maintenance-free testing. Get Real-time Root Cause Analysis Using AI algorithms, Shield34 is automatically pinpointing the root cause of every test failure – reducing the overhead of debugging and reproducing failed tests. Enjoy a ‘Smarter Selenium’. Integrate automatically with your

Producers like you are adept at navigating the complexities and challenges of staying competitive. This is true in a variety of industries ranging from pharmaceuticals, consumer packaged goods, and food and beverage to mining and chemical. That’s why it’s so important to implement the latest technological advancements to continue your ever-evolving digital transformation journey. From the control room to the board room, process system users face the persistent challenges of balancing productivity against budget and resource constraints as well as proactively addressing evolving operational risks. Meet these challenges and experience real productivity gains in all areas of your plant with the PlantPAx distributed control system (DCS). System features positively impact the lifecycle of your plant operations by ensuring that plant-wide and scalable systems drive productivity, improve profitability, and reduce overall risks for operations.

Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.

With the SAP Digital Manufacturing Cloud solution, you can leverage a manufacturing execution system (MES) to execute processes, analyze scenarios, and integrate systems through a resource-efficient Industry 4.0 approach. Empower key stakeholders to analyze global and plant-level manufacturing performance and associated causes through intuitive, preconfigured analytics. Acquire data from different manufacturing operations management (MOM) and automation systems by uniting multiple solutions and standards-based interfaces. Facilitate continuous business improvement by accelerating root-cause analysis with advanced algorithms and machine learning. Meet market-of-one demand, handle extreme product variability, improve customer satisfaction, and maintain productivity, margins, and quality levels.

IBM® Z® Operations Analytics is a tool that enables you to search, visualize and analyze large amounts of structured and unstructured operational data across IBM Z environments, including log, event and service request data and performance metrics. Leverage your analytics platform and machine learning to gain enterprise visibility, identify issues in your workloads, locate hidden problems and perform root cause analysis faster. Use machine learning to baseline normal system behavior and detect operational anomalies. Detect emerging issues across services, so you can proactively alert and cognitively adjust to changes. Gain expert advice for corrective actions and greater service assurance. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce time required for root cause analysis. Harness the domain expertise of IBM Z. Leverage IBM Z insights on your analytics platform.

AI-powered anomaly detection and root cause analysis for the metrics that matter to your business. Using machine learning, Avora autonomously monitors your business metrics 24/7 and alerts you to critical events so that you can take action in hours, rather than days or weeks. Continuously analyze millions of records per hour for unusual behavior, uncovering threats and opportunities in your business. Use root cause analysis to understand what factors are driving your business metrics up or down so that you can make changes quickly, and with confidence. Embedded Avora’s machine learning capabilities and alerts into your own applications, using our suite of APIs. Get alerted about anomalies, trend changes and thresholds via email, Slack, Microsoft Teams, or to any other platform via Webhooks. Share relevant insights with other team members​. Invite others to track existing metrics and receive notifications in real-time.

Drive transformation with 360° observability over your whole IT environment. VirtualMetric is a completely agentless solution that is easy to deploy, easy to use and easy to scale. VirtualMetric is an all-in-one infrastructure monitoring suite ensuring the health and reliability of your IT environment. Get 360 ° observability, smart alarms, predictive analysis and AI capabilities to ensure the stress-free management of your infrastructure. VirtualMetric is a full stack monitoring and reporting software for your bare metal servers and virtualization. The all-in-one monitoring suite covers fully your whole IT stack and monitoring needs. Fast root-cause analysis of infrastructure issues, improved performance and infrastructure health. Centralized management suite, which is easy to use and will save you time and money. VirtualMetric’s performance counters are in real-time and provide you with full visibility over your servers, virtual machines and inventory.

Easily investigate machine data to help identify the root cause of IT issues faster. Powerfully designed and intuitive log aggregation, tagging, filtering, and alerting for effective troubleshooting. Fully integrated with Orion Platform products, enabling a unified view of IT infrastructure monitoring and associated logs. We’ve worked as network and systems engineers, so we understand your problems and how to solve them. Your infrastructure is constantly generating log data to provide performance insight. Collect, consolidate, and analyze thousands of syslog, traps, Windows, and VMware events to perform root-cause analysis with log monitoring tools from Log Analyzer. Perform searches using basic matching. Execute searches using multiple search criteria and apply filters to narrow results. Save, schedule, and export search results within the log monitoring software.

Deploy an end-to-end service assurance solution with automated root cause analysis using event correlation, machine learning (ML), and topology. Oracle Unified Assurance can be deployed as an overlay platform to unify monitoring across existing assurance tools or as a standalone assurance solution. Integrate the solution into multivendor networks and management systems, or deploy it in a hybrid mode. Oracle’s Unified Assurance solution is helping customers automate assurance and implement assisted and full closed-loop automation. Provide dynamic, end-to-end assurance for 5G solutions at scale while ensuring optimal quality of service and customer experience with machine learning (ML) analytics. Automate operations with end-to-end network and service assurance by federating across existing tools. Leverage existing investments with a roadmap to rationalize the tools and build the basis for autonomous operations.

TIBCO LogLogic® provides the industry's first enterprise class, end-to-end log management solution. Using LogLogic log management solutions, IT organizations can analyze and archive network log data for the purpose of compliance and legal protection, decision support for network security remediation, and increased network performance and improved availability. Find and act on critical information hidden inside volumes of machine and log data. Make it easy for your system administrators to explore data, do root cause analysis, manage alerts, visualize using dashboards. Start learning and sharing about TIBCO LogLogic®. Find how-to’s and help articles to kick-start your LogLogic® journey.

Senseye PdM uses proprietary machine learning algorithms to spot, in advance, assets that are likely to fail. Senseye automatically analyzes your machine performance and predicts when maintenance is needed. Maintenance teams are able to focus on those assets that need the most attention. Lower maintenance costs and improve downtime forecasting accuracy with an easy to implement solution. Senseye PdM is designed to scale and supports any number of connected machines, big or small. Automated condition monitoring insights only highlight the relevant information. Understand how long your machinery is likely to perform and when maintenance is needed. Seamlessly analyze the condition of tens of thousands of assets. Get a clear and continuous indication of assets that require your attention. Senseye guarantees machine downtime reductions for industrial companies.

Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks. Asset Performance Management (APM) is a suite of software and services designed to help optimize asset performance and O&M efficiency across equipment, the plant and the entire fleet. Featuring Digital Twin analytics, work process automation and built-in GE industry expertise, APM provides unique value to modern industrial operations. Reduce unplanned downtime and increase availability and reliability by helping to ensure critical assets and systems are monitored and protected from emerging threats. Protect the health and safety of employees, the environment, and business objectives, by reducing asset-related incidents and unplanned downtime. Reduce costly emergency repairs by detecting problems early, turning unplanned downtime into planned/scheduled downtime.

Parallel Asset is an advanced Computerised Maintenance Management System (CMMS), designed to manage all processes in the maintenance cycle of your asset’s life. Our custom developed platform combines efficient workflow tiers with improved asset management structures to prolong the life of equipment and facilities, all the time saving you money and downtime. From energy, nuclear or military, to commercial & infrastructure, Parallel Asset can be adapted to any sector with ease. By using intelligent systems, in-field experience and data, Parallel Asset manages all Maintenance Work Requests, Work Orders & Workpacks based on the criteria defined by your maintenance philosophy & framework. Our CMMS maintenance platform comes fully equipped to optimise your Asset based on its vulnerability strategy and operational targets.

The integrity of assets plays a vital role in conservative industries like energy, and oil and gas where the effective management of complex equipment is crucial. They require superior performance from all their facilities comprising a vast range of performance measures such as revenue, compliance, quality, safety, energy, and operating costs. VAIL-Plant is a leading fully certified (API 580 and ASME B31.8S) Asset Integrity Software Solution specifically designed for oil and gas, power and petrochemical industries to facilitate inspection and maintenance management cycles by using RBI, RCM, SIL, and FMECA approaches. It is an effective asset management tool that contributes to ensuring the company's assets health and performance by enabling the plant operators to improve overall control of their asset condition by optimizing inspection, asset monitoring and linking to their maintenance systems.

Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments. By building ecosystems with customers and business partners in various business areas, we can accelerate digital innovation to create new value for a new society.

The Robust Intelligence Platform integrates seamlessly into your ML lifecycle to eliminate model failures. The platform detects your model’s vulnerabilities, prevents aberrant data from entering your AI system, and detects statistical data issues like drift. At the core of our test-based approach is a single test. Each test measures your model’s robustness to a specific type of production model failure. Stress Testing runs hundreds of these tests to measure model production readiness. The results of these tests are used to auto-configure a custom AI Firewall that protects the model against the specific forms of failure to which a given model is susceptible. Finally, Continuous Testing runs these tests during production, providing automated root cause analysis informed by the underlying cause of any single test failure. Using all three elements of the Robust Intelligence platform together helps ensure ML Integrity.

Create, run and analyze tests without any hassle. Empowering dev, testing, product and DevOps teams to release a superior quality product in the shortest time possible. Utilize your tests in production. Monitor business transactions. DevOps & developer-friendly, cross-region, device, and browser. Monitor user experience & SLA, detailed performance breakdown. Smart root-cause analysis, instant alerts & daily reports, SaaS or on-premise. CloudBeat is a centralized continuous quality platform that helps create, execute and analyze unit, API, integration and end-to-end tests in a DevOps environment. CloudBeat seamlessly integrates with the most popular testing frameworks and CI tools, allowing to run large test sets with out-of-the-box parallelization, test lab management, and failure root cause analysis. Our mission is to help you to increase your software quality, reduce testing and development time and eventually improve your customer satisfaction.

Sightline Enterprise Data Manager™ (EDM) is a powerful IT monitoring and performance analytics solution that provides real-time visibility across today’s modern cloud, virtual and hybrid IT environments. Sightline leverages big data visualization, predictive analytics and machine learning to deliver root cause analysis, real-time anomaly detection, automated forecasting and capacity planning to help organizations identify infrastructure problems.

Deepen your understanding of your organization with workforce analytics, deep-dive visualization and org charts, and reporting capabilities. Leverage machine learning in HR to automate problem detection and root cause analysis. Predict the outcome and impact of organizational changes to stay proactive and responsive in the face of change. Modernize the way you do organizational design and build the future state of your organization by embracing change as a way of life with continuous AI-driven organizational design. The business team successfully builds a well-designed organization that scales and adapts quickly to change, while retaining talent and hiring more effectively. Finance teams have visibility into forecasted HR budgets through predictive reporting.

Autointelli Inc, an AIOps company, provides solutions that handle modern IT operations (ITOps) with a duo of automation and machine learning. With a solution-oriented approach, we thrive in developing an AIOps platform that simplifies data center automation. Automate them with Autointelli AIOps platform – reduce alert noise, identify root causes and free your resources for high-value IT tasks. Build a better digital workplace with us. Autointelli AIOps Platform automatically correlates the events faster and escalates the tedious incidents to respective engineers. Autointelli AIOps Platform comes with a self-service automation feature that allows you to create any number of workflows to automate. Root cause analysis helps to identify the underlying cause of a problem in hardware and software. Analytics should enhance your business performance and provide possible insights from all major data sources.

Gisual provides outage intelligence for telecoms and service providers. No more manually diagnosing and correlating commercial power outages with complaining customers or off-network issues with down circuits. Subscribe to Gisual’s outage intelligence to receive proactive notifications when 3rd party outages are affecting your equipment and customers. Diagnose and correlate outages in seconds. Stop digging for intel to diagnose root cause analysis. Get situational awareness in seconds. View any 3rd party outages on a universal map or integrate our outage feed with your current systems. Connect directly with the partners and NOCs that you rely on. Access real-time outage intelligence with continuous updates including restoration times, location of outage, root cause, impacted area and exact customers affected. Get Gisual's data into your organization simply and easily. Our average integration takes 1 hour.

With our executive management system, we create value in a truly data-driven way. Everything you need in one executive management system. Get automatic recommendations optimized by our artificial intelligence in combination with industry benchmarks. Streamline your planning according to your data. Fully integrated & intelligent executive management suite​. One system for planning, reporting & executing. Deep industry-specific content & best practices and community. Relevant semantic data model, KPIs/dashboards, deep-drills, benchmarks, recommendations, etc. The off-the-shelf solution is cheaper, easier, and faster to set up. No internal IT or BI team is needed for rapid setup and operations. Super simple and flexible user experience optimized for executives (simpler than Excel) No matter whether it is setting up a new product or new country entity. With root cause analysis and recommendations, P&L prediction and intelligent integration technology powered industry-specific data schema.

Gain unprecedented insight into sales performance with Sugar Discover—A time-aware approach to revenue analytics that tracks extensive metrics and historical performance to alert you proactively to issues or opportunities. Going a step further, Discover provides root cause analysis for its findings without you having to do anything. Sugar is the only CX platform built on a cutting-edge event stream database that records every change in the customer journey to rewind the past and predict the future. Sugar Discover comes with key metrics and commonly used KPIs out-of-the-box to eliminate the need to build your own analytical database, learn a complicated tool, or hire a data scientist. Unlike standard reporting, Sugar Discover gives you historical perspective—it leverages data from every point in time to enable more informed decisions. Discover’s time-aware technology helps you understand past performance to make accurate predictions about the future.

Our advanced patent-pending graph-based technology enables proactive discovery and remediation of known and unknown threats. Whether it's a misconfiguration, weak configuration, over-permissive policy, or a CVE, we empower your teams to address and eliminate all threats to your cloud stack. Prioritization of the most critical issues means your team can focus on what matters most. Our root cause analysis dramatically reduces the number of alerts and general findings, enabling teams to address those that are most crucial. Protect your cloud environment while advancing along the digital transformation. It correlates between the Kubernetes layer to the cloud layer and integrates seamlessly with your existing workflow. Get a rapid visual assessment of your cloud environment using known cloud vendor APIs, from the infrastructure level down to the single microservice level.

Smokescreen is a deception technology & active defense company that provides a solution that blankets your network with decoys to trap hackers. With a demo of our product, IllusionBlack, you'll understand how adversaries operate and see how decoys planted all over your network provide high-fidelity detections every step of the way. It's easy to understand, easy to use, and we've got you covered on the Perimeter, Cloud, internal network, endpoints, and Active Directory. Launch your first deception campaign using ready-made decoys. Focus on detecting threats instead of wasting countless man-days configuring a new solution. Any interaction with an IllusionBLACK decoy is a high-confidence indicator of a breach. When you get an alert, you know it’s the real deal. Automated forensics and root-cause analysis in two clicks. Accomplish more in a fraction of the time with half the team. Out-of-the-box integrations with SIEMs, Firewalls, EDRs, Proxy, threat intel feeds, SOAR, and more.

By combining performance and fault management into one system, the EAA-Performance and Fault Management offers a one-stop system to address all the challenges of a complex, disaggregated, and distributed 5G network. From real-time dashboards and reporting to real-time root cause analysis, EAA-Performance and Fault Management builds a solid foundation for high performance and reliability of your network. EAA-Automation enables efficient and automated NOC/SOC operations for complex 4G/5G networks, reducing operational complexity and increasing remediation agility. In addition, MYCOM OSI and Oracle joint offering- Network Orchestration and Assurance offers automated, closed-loop service fulfilment and assurance, and closed-loop network and resource optimization for real-time orchestration of network and services.

Instant connections to the systems where rep performance data resides. Set and proactively track weekly, monthly, and quarterly rep goals. Automatic root-cause analysis of performance issues or excellence. Made for busy managers who need answers fast - not more dashboards to get lost in. You’re constantly being surprised by rep problems that it’s too late to fix. Atrium provides the insights to help managers see around corners and fix issues before they become problems. Spend time coaching and fixing issues instead of looking for them. Detect and alert managers, operations and leaders about issues early before they become major problems. Complicated business intelligence and dashboarding software is designed for data analysts - not busy managers. Atrium was made for SDR, AE, and AM/CSM managers and the leaders and operations people who help them.

Our AI & IoT (AIoT) technology enables customers to execute data-driven business decisions, based on actual usage of their on-site machines, allowing them to scale their customer services, logistics, and sale opportunities. Track real-time onsite temperature and performance and predict failure time for refrigerators or vaccines, tests and medications​. Track onsite machine performance in real-time, provide value-added services to your customers & understand your products use. Increase customer satisfaction by becoming proactive and provide customers insights to achieve optimal operational efficiency. Maximize in-store appliances’ and machines compliance and reduce inventory and maintenance costs. Food and beverage chain stores operate thousands of stores with several different appliances in each location. They do not have means to track and monitor how each appliance is used.

IBM Maximo® Application Suite is a set of applications for asset monitoring, management, predictive maintenance and reliability planning. Get the most value from your enterprise assets with Maximo Application Suite. It’s a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. With market-leading technology from IBM Maximo, you’ll have access to configurable CMMS, EAM, APM and RCM applications, along with streamlined installation and administration, plus a better user experience with shared data and workflows. Manage and maintain high-value assets with AI and analytics to optimize performance, extend asset lifecycles and reduce downtime and costs. Streamline inspection processes with seamless, automated asset inspections driven by real-time data and artificial intelligence.

Moving beyond traditional systems, AssetMetric is a next generation product designed to provide Asset Managers with a tool set that secures essential business functions and optimization opportunities. A major strength of AssetMetric is that all data resides in a single information silo and that enables the business to grow in stages necessary to develop mature Asset Management strategies. AssetMetric addresses Board-level objectives as it enables robust Corporate Governance and Compliance. It identifies all major Risk Types as well as comprehensive Change Management of all required Risk Mitigation strategies then used to setup existing ERP/CMM systems. AssetMetric takes base data into an extended model to optimize PMs, Inventory Insurance Spare, Inventory and Resources requirements according to Downtime Costs and Risk. Advanced Business decisions are possible from the Life Cycle Costs that factor in Carbon, Water and specified Energy costs.

Synchronizes data communications between assets, eliminating human error, and allowing faster and more efficient decision-making based on real-time data. Simplifying and improving the deployment and maintenance process of the Industrial IoT system cost-effectively. It allows businesses full creative control by allowing the creation, recursive modification, and optimization of a virtual RFID tracking infrastructure. The Computer-Aided Design (CAD) predictive modeling engine provides a visual representation of your RFID tracking domain. This serves as the backbone for your key RFID terrain that is rendered live to present real-time tag, data, events, actions, transitions, and metrics globally that are not point-in-time discovery (PITD).