Alternatives to aspenONE Asset Performance Management (APM)

The Asset Guardian (TAG) delivers impactful features to improve your asset operations. From proactive asset health monitoring and precision infrastructure management to real-time mobility and seamless ERP integration, The Asset Guardian’s comprehensive solutions are designed to drive transformation and enhance efficiency. • Full integration with Microsoft Dynamics 365 or your ERP system • Mobile-optimized EAM for real-time asset tracking • Predictive maintenance to reduce downtime • Comprehensive master data synchronization • Digital forms integration for streamlined data collection The Asset Guardian (TAG) is a prime example, offering CMMS tools for maintenance scheduling and spare parts management, alongside APM features to monitor asset health and predict failures. TAG provides real-time insights to boost performance and minimize downtime, while centralizing data for better operational control.

It works: Codeless testing Give your entire team the ability to create and maintain automated tests. Not just developers. Meet your testing demands fast. You can get full coverage of your tests in days and not months. Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures. Continuous Testing is a key component of Agile/DevOps. Push features to production in 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, a cloud-based Computerized Maintenance Management System (CMMS), is an award-winning software that helps organizations improve their ability to manage their maintenance reliability operations, equipment, and compliance. eMaint is suitable for any size company or enterprise. It integrates all the tools they require into one powerful platform, saving companies valuable time and money. It includes maintenance scheduling, work order management, reports and dashboards as well as predictive maintenance, preventive maintenance and mobile maintenance. It also manages inventory management and asset management.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

The SBS QMS Suite consists of 5 software modules that work together for efficient Quality compliance: SBS Quality Database - CAPA / 8D corrective and preventive actions (CAR) with root cause analysis - Nonconformance management - Risk analysis including FMEA, SWOT, interested party risk register - Internal, customer, and third-party audit management - Environmental Health and Safety (EHS / HSE) management SBS Ground Control - Employee training management (LMS) - Self-Paced training - Document control SBS Asset Tracking Database - Calibrated equipment control - Preventive maintenance - Asset inventory management SBS Inspection Database - Record incoming material, in process, and final product inspection data - Generate real time SPC charts - Inspection plans and Control Plans - Archive data for further statistical analysis SBS Vendor Management - Maintain an approved vendor list or AVL - Develop vendor / supplier qualification plans - Maintain vendor / supplier qualification history Modules may be purchased separately or in any combination.

Recognize patterns in operating information that can predict failure and degradation well before it occurs. Avoid the high number of false positives that model-based solutions often result in by using precise failure pattern recognition. Low-touch machine learning quickly identifies normal and abnormal behavior to protect equipment in weeks, not months. Aspen Mtell integration and Aspen Cloud Connect™, allows access to OPC-UA supported devices.

DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2). DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.

Digital transformation unlocks your assets' potential and empowers you with predictive maintenance (PdM), strategies. You can avoid costly failures and reduce downtime by looking ahead. This will allow you to focus on what's next. Our comprehensive Asset Performance Management (APM), software portfolio was created to address today's industrial challenges. It combines industrial big data, Cloud and artificial intelligence with digital twin and augmented reality. You can eliminate inefficiencies, optimize operations, improve profitability, and get better analysis.

With fewer unplanned interruptions, you can meet production deadlines and revenue goals. Status dashboards and automated alerts notify managers and operations staff of impending failure. This allows them to quickly identify and fix problems before they become costly problems. Predictive and prescriptive maintenance strategies are a better way to address potential failures and performance degradation. By identifying the leading indicators of breakdowns, you can avoid costly replacements of just-in-case parts. Advanced analytics, data mining, and data visualization can quickly and accurately identify root causes. This will allow you to spot hidden patterns in your data. You can quickly and efficiently troubleshoot performance issues and understand why they occurred so you can take corrective actions.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

OPUS is a leading platform for industrial no-code AI that allows users to model equipment and processes. With OPUS you can benefit from: - Process optimization insights - Predictive maintenance - Lower power consumption - Increased productivity - Accurate forecasting - Increased asset reliability - Reduced maintenance costs - Improved planning - ESG reporting and carbon reduction insights Without programming or coding experience, existing teams can get insights from their data and predict future outcomes. Explore your asset's data deeper than ever before. Uncovering unexpected correlations. Root cause analysis can be done on individual components to help you focus your efforts. Automated AI predictive insights can help you plan interventions and make informed business decisions. With rapid deployment and AI model results within minutes of being built, you can unleash the power of your existing operational data and achieve real ROI, using your existing team of asset engineers, operators and maintenance managers. Optimize your entire facility, plant, or work site, discover the power of automated AI.

Monitoring and predictive analysis of equipment condition. Optimization of maintenance and repair processes. Predictive analysis of the quality of production processes. Unit operation analysis can help you determine if your equipment is capable of supporting more than the permissible load. Predictive analysis of unit condition can help avoid emergency shutdowns. Comparing equipment before/after operation allows for quality repair work assessment. Automated control of manual repairs and maintenance operations. Predictive analysis of equipment condition allows for maintenance and repair. Intelligent load balancing of assets allows for the purchase of new equipment. Intelligent failure prediction allows for spare parts and consumables.

Eugenie's powerful decision-making framework allows industrial organizations to extract the most value from their assets and processes. Eugenie has made AI invisible but a powerful force for industrial operational efficiency. Eugenie is a system that combines technology, efficiency, trust, and trust. Eugenie's unique framework for Explainable AI empowers decision makers with data-driven decisions. Eugenie's digital ecosystem allows for informed decision-making thanks to predictive insights and root-cause analysis. Eugenie's corporative ecosystem is a congruence of human and machine capabilities. Eugenie's AI first approach to machine and process reliability is user-centric. Technology is an ally that can enhance human efficiency. Eugenie's digital infrastructure is highly flexible and makes it an ideal solution to quick industrial insight generation.

Accruent Observe, an enterprise IoT remote control, monitoring, and energy management system for multiple equipment types is designed to improve energy and operational efficiency, predict asset failures and improve air quality, wellness, and commercial refrigeration compliance. Maintaining facilities and assets to their maximum capacity while meeting financial and compliance goals is essential. Stop unplanned downtimes by identifying when an asset starts to fail. This will allow you to catch and fix problems before they occur. Replace equipment only as needed, not at random predetermined times. You can reduce your repair and maintenance costs by avoiding unnecessary services. What are the locations that use the most electricity? What equipment is consuming significant energy? Understand consumption in real time, filtering by energy type or dates range, and correcting high energy usage. Real-time visibility of the entire refrigerant lifecycle, from purchase to disposal can save millions.

Monitor machine and plant health and perform proactive maintenance to ensure maximum uptime, throughput, as well as optimal uptime. Analytics and Industrial IoT technology can be used to gain deeper insight into plant equipment and enable predictive maintenance. Monitor machine health to reduce production disruptions due to unexpected outages or machine failures. Predictive maintenance is a way to reduce the time required to diagnose and fix machine health issues. It also improves historical data traceability. Contextualize IT/OT data to link plant floor data with MES data, and support informed decision-making. Real-time data collection and analytics are used to analyze and compare machine performance and health, as well as to generate early notifications about potential disruptions to reduce overtime labor costs, emergency maintenance costs, and over P&L impact.

The Power Factors Drive platform is a cloud-based APM software solution for renewable assets. Drive provides owners, operators, asset managers and operators with tools to monitor, optimize, and manage the performance of renewable energy assets. This includes reporting, operations, technical asset management, and reporting. Drive Pro uses the Drive platform's data foundation to provide advanced analytic insights that connect stakeholders in all aspects of asset performance management, from plant design to predictive modelling 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, failure categorizations, and asset lifetime value increases can be achieved while streamlining O&M processes.

With real-time insight, the IoT and machine learning, you can maintain and service physical assets. Integrating intelligent technologies that optimize your processes and deliver new value can help you plan, schedule, and carry out maintenance operations more efficiently. Sharing best practices is key to optimal equipment deployment, management and maintenance. A single repository of asset and equipment information makes it easier to manage assets and customer service. Automated tracking of equipment usage information can reduce downtime and increase asset productivity.

Connect2Assets allows maintenance teams to integrate real-time condition data into their existing workflows. Connect2Assets allows users to create a work order, record labor time, and enter failure codes after receiving an alert. You can add additional documentation to the work order such as wiring diagrams, instructions, or drawings. Software can intelligently monitor equipment by indexing existing automation systems against its EAM/CMMS solution. Teams can monitor asset health without purchasing additional hardware by using existing PLC/SCADA-generated condition, process, and process data points. Connect2Assests combines industrial data from multiple sources and merges it into IBM Maximo. Maximo users can tap into previously untapped SCADA/PLC data by using Connect2Assets. More data allows you to make better maintenance decisions.

It is becoming more important than ever for industries to have a well-organized and accountable maintenance program. MP2 is an integrated asset management system that allows your company to track and organize inventory, track equipment history, manage equipment costs, schedule preventive maintenance tasks and keep confidential labor records. It also allows you to allocate resources, create work orders, requisition parts and project equipment failures. MP2 can be used in any facility. MP2 can be installed on a client/server or standalone system. MP2 also has seamless upgrade capabilities. You can easily enter data into a standalone MP2 version and then upgrade to a client/server server system without additional data entry. This level of control has made MP2 the preferred maintenance management system for more maintenance professionals around the globe than any other.

Shield34 is the only web automation framework that is 100% compatible with Selenium! You can continue to use your Selenium scripts. Create new scripts with Selenium API. This solution addresses the Selenium flaky test issues using self healing, smart defenses and error recovery mechanisms. AI-based anomaly detection and root causes analysis are available to quickly analyze failed tests and determine what changed or what caused it. Eliminate Flaky Tests. Flaky tests can be a real pain! Shield34 adds defense and recovery AI algorithms to every Selenium command. This includes dynamic element locator. It eliminates false positive results and allows for self-healing, maintenance-free testing. Shield34 provides real-time root cause analysis. Using AI algorithms, Shield34 automatically pinpoints the root cause of any test failure. This reduces the time and effort required to reproduce failed tests. Get a Smarter Selenium. Integrate automatically with your

Fluke Connect™, software stores, displays and makes machine data viewable from more than 80 Fluke sensors and tools. The cloud allows teams to access their data from any device or computer, and store measurements. No matter if your maintenance and reliability team collects data from portable test tools or condition monitoring sensors, they have all the information they need to make crucial decisions and complete jobs. Remote sensors that upload data to cloud storage can reduce the time-consuming routine rounds. No more clipboards or data silos, just easy-accessible asset information on your smart phone. Fluke Connect Condition Monitoring™, software allows teams to view asset trends on graphs using connected condition monitoring devices. Data analysis can be done by staff, giving teams insights that they can use to predict asset condition or avoid downtime.

Sightline EDM: Improved Operations, Right Out of the Box Predictive analytics and performance and risk-based monitoring used to be a complicated process. Between endless Excel files and disjointed communication between departments, a lot of information was lost. When you switch to Sightline EDM, you can start making the best decisions for your operations, prepare for the future, and begin saving time and money immediately in one easy-to-use platform. One Easy-to-Use Dashboard Data from multiple monitoring tools can be consolidated into a single display: a uniform, easy-to-use dashboard with drill-down details. Real-Time OT & IT Intelligence With configurable notifications to any errors or anomalies, visualize and analyze production and operations in minutes, not months. Scalable Usability for All Organizations & Teams Proven, enterprise-grade, scalable software solution with role-based access controls, security, and user views that works with all web browsers and mobile devices. Pre-Built Integrations Across Systems Data from PLCs, CNC machines, process equipment, ERP/MES systems, and other vital data sources is gathered in minutes, not months, using open, agent, and agentless interfaces.

Dashboards can be used to monitor service health, troubleshoot alarms, and conduct root cause analysis. Reduce MTTR by integrating ITSM and orchestration tools with real-time event correlation and automated incident prioritization. Advanced analytics such as adaptive thresholding, predictive health scores and anomaly detection can be used to monitor KPI data and prevent problems up to 30 minutes before they occur. Pre-built dashboards allow you to monitor performance and visually correlate services with the underlying infrastructure. Side-by-side comparisons of multiple services can be used to identify root causes. Machine learning algorithms and historical service scores can be used to predict future incidents. You can automatically update your rules using adaptive thresholding or anomaly detection based on historical and observed behavior. This will ensure that your alerts never go out of date.

IBM® Z Operations Analytics is a tool that allows you to search, visualize, and analyze large amounts structured and unstructured data across IBM Z environments. This includes log, event, service request data, and performance metrics. Use your analytics platform and machine-learning to increase enterprise visibility, find issues in your workloads, uncover hidden problems, and perform root cause analysis quicker. Machine learning can be used to detect anomalies in operation and establish normal system behavior. You can detect emerging issues across services and be able to cognitively adapt to them. Get expert advice to improve service assurance and corrective actions. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce the time needed for root cause analysis. IBM Z's domain expertise is your advantage. Benefit from the domain expertise of IBM Z to enhance your analytics platform.

Operates autonomously, handling common alerts and actions. This reduces escalation and prevents burnout. Adjusts dashboards and thresholds dynamically to prevent incidents, and adjusts runbooks for each new incident. Saves up to twenty hours per week per on-call engineer so you can return to the building. Handles all alerts and performs root-cause analysis. Resolves incidents. Automates root-cause analysis and incident response to reduce Mean Time to Resolution by up to 80%. You'll see a significant increase in uptime and response time when you have detailed incident summaries available before you log in. Start in minutes with production ready AI that is secure and uses all production tools like a software engineer. It understands code and automatically captures changes.

AI-powered anomaly detection for your business and root cause analysis. Avora uses machine learning to monitor your business metrics and alert you to important events so you can take action within hours instead of days or weeks. You can continuously analyze millions of records per minute for unusual behavior to uncover threats and opportunities in your company. Root cause analysis is a way to quickly and confidently identify the factors that are driving your business metrics upwards or downwards. Use our APIs to embed Avora's machine-learning capabilities and alerts in your own applications. Alerts about anomalies, trend changes, and thresholds can be sent via email, Slack or Microsoft Teams. Webhooks can also be used to send alerts to other platforms via Webhooks. You can share your insights with other team members. Invite others to track metrics and receive notifications in real time.

The SAP Digital Manufacturing Cloud solution allows you to leverage a manufacturing execution platform (MES) and analyze scenarios. You can also integrate systems using an efficient Industry 4.0 approach. Through preconfigured, intuitive analytics, empower key stakeholders to analyze global manufacturing performance and its causes. By combining multiple solutions and standard-based interfaces, you can acquire data from various manufacturing operations management (MOM), and automation systems. Accelerate root-cause analysis using advanced algorithms and machine learning to facilitate continuous business improvement. You can meet market-of-one demands, manage extreme product variability, improve customer service, and maintain productivity and margins.

Produces like you are skilled at navigating the complexities of staying competitive. This is true across a range of industries, including pharmaceuticals, consumer packaged goods, food and beverage, mining, chemical, and chemical. It is crucial to keep up with technological advances in order to continue your digital transformation journey. Process system users, from the control room to board rooms, face the constant challenges of balancing productivity with budget and resource constraints. They also have to address evolving operational risks. PlantPAx distributed control systems (DCS) can help you meet these challenges and deliver real productivity gains across all areas of your plant. The system features positively impact the plant's lifecycle by ensuring that your plant-wide, scalable systems increase productivity, profitability, and reduce overall risk for operations.

360deg observability across your entire IT environment to drive transformation VirtualMetric is an agentless solution that's easy to deploy, use, and scale. VirtualMetric is an infrastructure monitoring suite that ensures the reliability and health of your IT environment. VirtualMetric provides 360 degree observability, smart alarms and predictive analysis, as well as AI capabilities, to ensure stress-free management. VirtualMetric is a full-stack monitoring and reporting software that monitors your virtualization and bare metal servers. This all-in-one monitoring software covers your entire IT stack and monitoring requirements. Rapid root-cause analysis of infrastructure problems, improved performance, and infrastructure health. A centralized management suite that is easy to use, will save you both time and money. VirtualMetric's performance monitors are real-time and give you full visibility over your servers and virtual machines.

Implement an end-to-end service guarantee solution that includes automated root cause analysis, machine learning (ML), event correlation, and topology. Oracle Unified Assurance can either be used as an overlay platform to unify monitoring from existing assurance tools, or as a standalone assurance system. You can integrate the solution into multivendor management systems and networks, or you can deploy it in a hybrid fashion. Oracle's Unified Assurance solution helps customers automate assurance and implement fully closed-loop automation. Machine learning (ML) analytics enables you to provide dynamic, end-to–end assurance for 5G solutions on a large scale. This allows you to ensure optimal customer experience and service quality. Federating across existing tools allows you to automate operations and ensure service assurance. Utilize existing investments to rationalize and create the foundation for autonomous operations.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

Optimizing asset performance to improve reliability and availability, reduce costs and reduce operational risk. Asset Performance Management (APM), a suite software and services, is designed to optimize asset performance and O&M efficiency across equipment and plants. APM is a unique solution for modern industrial operations. It includes Digital Twin analytics, work process automation, and GE industry expertise. Unplanned downtime can be reduced and availability and reliability increased by APM. It helps to monitor and protect critical assets and systems from emerging threats. Reduce asset-related incidents and unplanned outages to protect employees' health and safety, the environment, as well as business objectives. You can reduce the cost of emergency repairs by detecting problems early and turning unplanned downtime into planned/scheduled.

Senseye PdM uses machine learning algorithms that identify assets that are most likely to fail. Senseye automatically analyzes the performance of your machine and predicts when maintenance will be required. Maintenance teams can focus on the assets that require the most attention. Easy to implement, it lowers maintenance costs and improves downtime forecasting accuracy. Senseye PdM can scale to support any number of connected machines, large or small. Automated condition monitoring insights only provide the relevant information. Know how long your machinery will last and when maintenance is required. Analyze the condition of tens to thousands of assets. You will get a clear indication of assets that need your attention. Senseye guarantees reduced downtime for industrial companies.

In conservative industries such as energy and oil and gas, where complex equipment management is critical, asset integrity plays a crucial role. They expect superior performance from all of their facilities, which includes a wide range of performance indicators such as revenue, compliance and safety, quality, energy, and operating cost. VAIL-Plant is a fully certified (API580 and ASMEB31.8S) Asset Integrity Software Solution that was specifically designed for the oil and gas, power, and petrochemical industries. It facilitates inspection and maintenance management cycles using RBI, RCM and SIL approaches. It is an asset management tool that helps to ensure the company's assets health. It allows plant operators to improve overall control over their assets by optimizing inspection, asset monitoring, and linking to their maintenance system.

Parallel Asset is a sophisticated Computerised Maintenance Management System (CMMS) that manages all aspects of the asset's maintenance cycle. Our platform is a custom-designed platform that combines efficient workflow tiers and improved asset management structures to prolong equipment's life and save you money and time. Parallel Asset can adapt to any sector, including energy, nuclear, military, and commercial. Parallel Asset uses intelligent systems, data and in-field experience to manage all maintenance work requests, work orders, and workpacks according to your maintenance philosophy. Our CMMS maintenance platform is fully equipped to optimize your Asset based upon its vulnerability strategy and operational targets.

Robust Intelligence Platform seamlessly integrates into your ML lifecycle to eliminate any model failures. The platform detects weaknesses in your model, detects statistical data issues such as drift, and prevents data from being inserted into your AI system. A single test is the heart of our test-based approach. Each test measures the model's resistance to a particular type of production model failure. Stress Testing runs hundreds upon hundreds of these tests in order to assess model production readiness. These tests are used to automatically configure an AI Firewall to protect the model from the specific types of failures to which it is most vulnerable. Continuous Testing also runs these tests during production. Continuous Testing provides an automated root cause analysis that identifies the root cause of any test failure. ML Integrity can be ensured by using all three elements of Robust Intelligence.

Integrate sensors to IoT applications and enrich sensor data by integrating control system and environmental data. This data can be integrated with enterprise data in real-time and used to develop predictive algorithms that uncover new insights and harvest data for meaningful purposes. Analytics can be used to predict maintenance problems, analyze asset utilization, reduce defects, and optimize processes. Remote monitoring and diagnostics services can be provided by using the power of connected devices. IoT Analytics can be used to predict safety hazards and comply to regulations to reduce workplace accidents.

It's easy to create, run, and analyze tests. DevOps, testing, product, and DevOps teams are empowered to deliver a high-quality product in the shortest possible time. Your production tests should be used. Monitor business transactions. DevOps and developer-friendly, cross region, device, browser. Monitor user experience, SLA, and performance breakdown. Smart root-cause analysis, daily reports, alerts, and instant alerts, available as a SaaS service or on-premise. CloudBeat is a central continuous quality platform that allows you to create, execute, and analyze unit, API and integration tests in a DevOps environment. CloudBeat seamlessly integrates to the most popular CI tools and testing frameworks, allowing you to run large test sets with out of-the-box parallelization and test lab management. Our mission is to improve software quality, speed up testing and reduce development time, and ultimately increase customer satisfaction.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Autointelli Inc is an AIOps company that provides solutions for modern IT operations (ITOps). This includes a combination of automation and machine-learning. We are a solution-oriented company that excels in the development of an AIOps platform to simplify data center automation. Automate them using Autointelli AIOps platform. Reduce alert noise, identify root causes, and free up resources for high-value IT tasks. With us, you can create a better digital workplace. Autointelli AIOps Platform automatically correlates events and escalates tedious incidents to the appropriate engineers. Autointelli AIOps Platform includes a self-service automation feature which allows you to create as many workflows as you wish. Root cause analysis is used to determine the root cause of a problem in hardware or software. Analytics can improve your business performance and provide insights from all data sources.

You can gain a deeper understanding of your organization by using workforce analytics, deep-dive visualisation, org charts and reporting tools. Use machine learning to automate root cause analysis and problem detection in HR. Predict the impact and outcome of organizational changes in order to remain proactive and responsive. Modernize your organizational design by embracing continuous AI-driven design. This will help you build the future state for your organization. The business team builds a well designed organization that can scale and adapt quickly to change while retaining talent more effectively and hiring more efficiently. The finance teams can see the forecasted budgets for HR through predictive reporting.

Our executive management system creates value in a data-driven manner. All you need in one executive administration system. Our artificial intelligence and industry benchmarks combine to optimize your recommendations. Streamline your planning based on your data. Fully integrated and intelligent executive management suite. One system for planning and reporting. Deep industry-specific content and best practices. Relevant semantic data model, KPIs/dashboards, deep-drills, benchmarks, recommendations, etc. The standard solution is easier, cheaper, and quicker to set up. For quick setup and operations, no IT or BI team are required. Executives will find it easy to use Excel for a flexible and simple user experience. P&L prediction, root cause analysis, and recommendations are all part of the intelligent integration technology-powered industry-specific data schema.

Gisual provides outage intelligence to telecoms and service providers. No more manually diagnosing commercial power outages and correlating them with complaining customers, or other issues with down networks. Gisual's outage alerts will notify you when third-party outages affect your equipment or customers. In seconds, you can diagnose and correlate outages. Don't waste time looking for information to diagnose root causes. Situational awareness is available in seconds. You can view any 3rd party outages on an interactive map or integrate our outage feed into your existing systems. Connect directly to the NOCs and partners you trust. Get real-time information about outages, including updates on restoration times, root cause, affected area, and exact customers that were affected. Easy integration of Gisual's data in your organization. Integration takes on average 1 hour.

Smokescreen, a deception technology and active defense company, provides a solution that covers your network with decoys that trap hackers. You'll learn how adversaries work and how decoys are placed all over your network to provide high-fidelity detections at every stage. It's simple to use and understand. We have you covered on the Perimeter and Cloud, internal network, endpoints and Active Directory. Launch your first deception campaign using ready-made decoys. Instead of wasting time configuring a new solution, focus on detecting threats and not on wasting man-hours. An interaction with an IllusionBLACK device is a sign of a breach. You know it's real when you receive an alert. Automated forensics and root cause analysis in just two clicks You can accomplish more with half the team in half the time. Integrations out-of-the box with SIEMs and Firewalls, EDRs. Proxy, threat feeds, SOAR and more.

Our graph-based technology, which is patent-pending, allows proactive detection and remediation for known and unknown threats. We empower your teams to address all threats to your cloud stack, no matter if it's a weak configuration, misconfiguration, policy violation, or CVE. Your team can concentrate on the most important issues by prioritizing the most critical issues. Our root cause analysis drastically reduces the number and general findings. This allows teams to focus on the most important issues. While you work towards digital transformation, protect your cloud environment. It integrates seamlessly into your existing workflow and correlates between Kubernetes layers to the cloud layer. You can quickly assess your cloud environment by using well-known cloud vendor APIs, starting at the infrastructure level and ending at the microservice level.

Instant connections to the systems storing rep performance data. Track and set weekly, monthly, or quarterly goals. Automatic root-cause analysis for performance issues and excellence. This tool is for busy managers who require quick answers and don't need more dashboards. It's easy to be surprised by the rep problems that are too late to fix. Atrium offers the insight to help managers see beyond the lines and fix problems before they become problems. Instead of searching for problems, spend your time coaching and fixing them. Alert leaders, managers and operations about potential problems early to prevent them from becoming major problems. Complex business intelligence and dashboarding software are best left to data analysts, not busy managers. Atrium was designed for SDR, AE and AM/CSM managers, as well as the leaders and operators who support them.

The EAA-Performance and Fault Management combines performance and fault management in one system. This allows you to address all the problems associated with complex, disaggregated and distributed 5G networks. EAA-Performance and Fault Management provide a solid foundation for high-performance and reliability. EAA-Automation enables automated NOC/SOC operations on complex 4G/5G networks. This reduces operational complexity and increases remediation agility. MYCOM OSI and Oracle jointly offer Network Orchestration and Assurance, which offers automated, closed loop service fulfilment and assurance. Closed-loop network and resource optimization allows for real-time orchestration and orchestration of network and services.

Our AI & IoT technology (AIoT), allows customers to make data-driven business decisions based on actual machine usage. This allows them to scale customer services, logistics, sales opportunities, and customer service. Real-time temperature and performance at the site can be monitored and predicted failure times for refrigerators, vaccines, tests, and medications. You can track machine performance at onsite, provide value-added service to customers, and understand the use of your products. Customers will be more satisfied if they are proactive and you provide them with insights to improve their operational efficiency. Maximize compliance with in-store appliances and machines, and reduce inventory and maintenance expenses. Food and beverage chains have thousands of stores that stock many different appliances at each location. They don't have the ability to track and monitor how each appliance has been used.

IBM Maximo® Application Suite consists of a collection of applications that are used for asset management, predictive maintenance, and reliability planning. Maximo Application Suite will help you get the most out of your enterprise assets. It's an integrated cloud-based platform which uses AI, IoT, and analytics to optimize performance and extend asset lifespans, as well as reduce operational costs and downtime. IBM Maximo's market-leading technology gives you access to configurable CMMS and EAM applications, as well as APM, RCM, and APM. Installation and administration are streamlined, and users benefit from a better experience thanks to shared data and workflows. Manage and maintain high value assets with AI and Analytics to optimize performance, prolong asset lifecycles, and reduce costs. Streamline inspections with automated, seamless asset inspections powered by real-time data.

AssetMetric, a next-generation product, is designed to provide Asset Managers with a tool suite that provides essential business functions and optimizes opportunities. AssetMetric's main strength is its ability to store all data in one place. This allows the business to grow at the pace necessary to develop mature Asset Management strategies. AssetMetric is able to support robust Corporate Governance and Compliance, which are all important for Board-level goals. It identifies all major risk types and provides comprehensive Change Management for all required Risk Mitigation strategies. This information can then be used to set up existing ERP/CMM systems. AssetMetric uses base data to create an extended model that optimizes PMs, Inventory Insurance Spares, Inventory, and Resources requirements according downtime costs and risk. Advanced Business decisions can be made using the Life Cycle Costs which include Carbon, Water, and other specified Energy costs.