Adapdix EdgeOps is a data-driven analytics platform suite that integrates ML/AI at the customer site. An EdgeOps solution incorporating the DevOps, DataOps and AIOps methodologies presents an opportunity for customers to strengthen, scale, and automate routine business practices and streamline interactions between functional groups to help organizations quickly implement solutions to difficulties they face.
An edge-to-cloud based solution managed in the EdgeOps platform offers several advantages by reducing non-critical data processing from the cloud using advanced analytics at the edge, which are much nearer to the source of data.
An edge learning solution greatly improves scalability of systems while optimizing network efficiency reducing the amount of data sent to the cloud especially when applications such as AI and machine learning are involved.
Having the ability to capture insights from real-time data, without impacts from latency and network-related obstacles, is changing the way countless industries can operate thereby bringing real tangible benefits to customers and companies alike.
We can help any organization create value from operating at the edge with our platform immediately for improved operating efficiency. See below on how our software solutions can help you:
Adopting an EdgeOps Strategy Will Accelerate Digital Transformation by Using AI/ML to Dramatically:
Develop solutions to increase system uptimes, increase yields and revenue, and reduce cost of ownership of increasingly complex equipment and systems. Seamlessly integrate and monitor your production operations in real-time. Reduce spare parts costs.
Gain insight into the complexities of high-tech production and operations management. Leverage your existing machine and process data to manage costs and minimize time-to-value – all while optimizing logistics and maximizing ROI. Use data isolated inside machines and processes to quickly identify production inefficiencies and pinpoint potential safety, production, or environmental issues.
Deploy solution to optimize exploration and production processes. Manage distributed substation and transmission equipment to predict performance degradation. Avoid critical failures in electric meters or field equipment conditions.
Real-time, remote observability of highly distributed data streams in milliseconds has the potential to reduce unplanned downtime, and improve both asset utilization and effectiveness. Both OEMs and end-users can leverage data and analytics to drive significant improvements to critical operations. This is key differentiation and capability of the Adapdix’s EdgeOps platform.
With the implementation of adaptive control, improve system performance over time based on the information gathered during operation. Our platforms real-time analytics framework combines advanced machine learning and artificial intelligence analytics that can:
End-to-end predictive operational management and observability of production process and equipment. Maintain and predict deterministic production performance requirements to the millisecond. These are the key differentiation and capabilities of the Adapdix’s EdgeOps platform.
Automate data engineering processes for distributed ML applications to manage event data streams and processing. Automate data validation, quality and integrity in real-time to ensure model accuracy. OEMs and end-users can leverage data and analytics to drive significant improvements to critical operations by:
Leverage platforms advanced analytics to automate and track compliance measures to meet product production processes including temperature and QA/QC measures. Improvements in product defects realized with the EdgeOps platform. By deploying our platform with the appropriate performance metrics, end-users can:
EdgeOps is an effective tool in helping workers identify weaknesses in processes used to produce products or services. To gain a better understanding of those processes and correct them early, our platform allows: