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Tipranks Labs. Earnings Reports Insights. Pre-Market Breakdowns. Dividend Stock News. About Us About TipRanks. For Business. Become an Affiliate. Contact Us. Radhika Saraogi. See Cognizant stock charts on TipRanks Total revenue soared Businesses need to respond quickly yet effectively to ever-changing market and customer demands, clearly communicate complex initiatives, and align IT efforts with business strategy and regulatory obligations.
At the same time, they need to collaborate effectively across disparate teams while engaging in bi-directional change management — all within a single, consolidated view of business requirements. Blueprint is a software solution that aims to improve collaboration and communication, reduce rework, and align business and IT by gathering requirements from stakeholders and providing a way to trace and visualize those requirements.
In addition, Storyteller features in-line artifact discussions to give dispersed teams a way to communicate. Storyteller aligns business strategy with Agile IT execution. Business strategies are about delivering value to a market of customers as quickly as possible, but doing so in a manner that adheres to constraints like policies and regulatory obligations.
Storyteller captures the needs of all business stakeholders to analyze and define optimal solutions and communicate these clearly and seamlessly to implementation teams. CIQD is based on the principles of model-based testing, replacing the maze of written manuscripts often used to document business processes and requirements with activity diagrams.
CIQD generates test cases by replacing the traditional manual approach to writing test cases. StorytellerCIQD fills a crucial gap in DevOps technology available today — solidly aligning the DevOps pipeline with the business and ensuring it delivers optimal value. It captures and models the needs of the business, customers, and regulators. From these, it then derives solutions that aligned completely.
StorytellerCIQD is truly focused on capturing, aligning, and focusing the needs of all the key constituents:. Talk to a Blueprint expert and see how you can get started building your own Digital Blueprints.
Align business strategy with Agile IT execution Blueprint is a software solution that aims to improve collaboration and communication, reduce rework, and align business and IT by gathering requirements from stakeholders and providing a way to trace and visualize those requirements.
Gain a degree view of business processes Cognizant Intelligent Quality Designer CIQD enables a degree view of business processes to respond faster to market changes.
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The application displays each event on a timeline. The plant manager can select each event to see the image of the part to understand the type of defect.
The images are annotated by the application to show areas of interest used to infer the defect. Additional information such as part number and type of defect inferred is also stated.
This information can help the plant manager quickly identify the potential issues with the machine and engage the technicians on the plant floor. Additionally, they can use the part number information to physically locate and inspect the part to develop further understanding. The solution helps to build dashboards at the machine level, plant level, and organizational level. Normally, functions such as calculations, data storage, and the visualization are hosted in a cloud based environment.
However, as described earlier in the post this will not meet requirements for all use cases. This enables advanced analytics, such as fault detection and visual inspection, without the need to send large amounts of data or sensitive data to the cloud.
The production stations and work cells are defined in AWS IoT SiteWise as asset models with measures , transforms , and metrics corresponding to the relevant data and computations.
The asset models are cached locally on the edge, with a sync occurring every ten minutes or on-demand via the local configuration interface. It uses custom functions, deployed as Docker containers and AWS Lambda functions, to process the images in the gateway and pass inference results to SiteWise Edge data processing software for metric computation. SiteWise Edge software is packaged as Greengrass components.
This simplifies development of edge applications such as APEx 2. Image and metric data is stored locally on the gateway for offline availability. SiteWise Edge provides data collection and processing capabilities in the SiteWise gateway for local applications enabled by the Data Processing pack and Data Collection pack. When data arrives to the Data Processing pack, transforms are performed immediately while metrics are calculated at intervals specified in the asset models.
All of the incoming data and computed values are stored on the gateway, but this is configurable in the asset models based on the need to send some or all of the data to the AWS IoT SiteWise service in the cloud. SiteWise Edge supports retaining this data at the edge for up to 30 days granted sufficient disk space is available on the gateway. Other application processes on the gateway are able to retrieve the data via API calls with those calls remaining local to the device in this particular solution.
As a result, Cognizant was able to focus on developing differentiated features by integrating with foundational functionality provided by SiteWise Edge. Functions to perform advanced aggregations, image classification, image annotation, and process orchestration are integrated with the SiteWise Edge functionality to provide a differentiated customer experience.
The ImageAnalytics function performs both image annotation and image classification. Specifically, it annotates key features of the image, such as the location and orientation of elements. The function makes a decision on the quality of the part, or a classification, and passes the result to SiteWise Edge for eventual use in the OEE calculation function.
Key observations from the image are also generated and are used to identify trends in failed parts. The quality of the part as well as the key observations are stored within the Data Processing pack on the gateway. For example, in this solution it computes cumulative shiftwise results which are the results over a given period of time and in this case from the beginning of a shift.
This enables customers to view cumulative shiftwise OEE calculations in near real time rather than a single batch of post processed results at the end of the day. The asset models configured for cloud-based deployments are automatically replicated to the edge and kept up to date by SiteWise Edge.
The same measurements, transforms, and metrics expressions are supported at the edge allowing seamless re-use of existing models and the infrastructure to configure them. The ImageAnalytics and AdvancedAggregation functions run in containers. These containers can be deployed and orchestrated via AWS IoT Greengrass enabling the use of the same business logic between the cloud deployment and the edge deployment. Furthermore, the user interface and data access layers are also containerized and deployed to the edge device.
To develop the edge solution, the configuration of the containers and functions was simply reconfigured to read data from an edge endpoint. This hybrid developer experience reduces the need to maintain separate code bases for the edge and cloud solutions and simplifies testing of the many functions. It also simplifies the support requirements for the end customer who might be using both edge and cloud solutions for their factories. In this blog post we outlined a solution that delivered data collection, processing, analytics, and monitoring capabilities on-premises using SiteWise Edge to perform real time defect detection of parts enabling a plant manager to understand process quality metrics of their plant.
The solution provides tools to assist the plant manager to identify the root cause of the part quality issue. This enables the plant manager to take corrective action and ultimately improve their production output by reducing waste. SiteWise Edge enabled Cognizant to port their cloud native connected factory solution with minimal changes to the already existing functions, such as the cumulative shiftwise OEE calculations and the visualization interface, allowing them to focus on differentiating features such as edge based image classification and annotation.
For more information on the Cognizant Connected Factory solution, check out this case study highlighting the approach and benefits of APEx 2.
He joined AWS from a global diversified manufacturer where he led the IoT program for connected mobile equipment and industrial equipment. Nick has also developed systems and advanced controls for industrial machinery where he recognized the value of connected devices throughout the product lifecycle.
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WebRISE with SAP is a flexible solution that allows you to combine: Cloud ERP for every business need Industry next practices and extensibility Analytics and business process . “Cognizant is proud to partner on RISE with SAP, a category-defining offering that will provide our clients ongoing and holistic business transformation as a service. Leveraging SAP Business Technology Platform, RISE with SAP strengthens Cognizant’s ability to engineer modern business processes and unlock new ways of running more agile intelligent enterprises, powered by cloud and at record speeds.”. WebCognizant’s ‘Learn Enable Accelerate Perform’ framework enables clients to adopt a value-driven approach and addresses the complete lifecycle of a client’s business .