QBurst
概述
公司介绍
QBurst 是一家提供全方位服务的软件解决方案提供商，与
客户通过
采用数字技术。
客户通过
采用数字技术。
物联网解决方案
QBurst 提供 PHP、Java、Python 和 Ruby 的开发服务，并且熟悉 Spring、Symfony、Ruby-on-Rails 和 Django 等流行框架。在移动领域，该公司拥有 iPhone、Blackberry 和 J2ME 的开发人员。
物联网应用简介
QBurst 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 传感器, 和 机器人等工业物联网科技方面的供应商。同时致力于建筑物, 教育, 医疗保健和医院, 可再生能源, 零售, 安全与公共安全, 和 运输等行业。
技术栈
QBurst的技术栈描绘了QBurst在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 传感器, 和 机器人等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
AI-Based Robot Calibration
The client was in the process of developing a smart table tennis robot that can be controlled by a mobile app. The app can be used by players to configure or choose from a list of pre-programmed drills. The robot plays the drills and programs as per user configuration; however, performance reduces over time due to aspects such as the wear and tear of machine parts. Additionally, faulty installation, errors in table dimensions, and alignment changes caused during shipping impact accuracy.QBurst was tasked with improving firmware performance. The project would focus on enhancements to the calibration mechanism of robots leading to improved gameplay and user satisfaction. The client wanted the calibration mechanism to be easy to use and repeatable.
Case Study
Web Portal Development for a Security Solutions Company
The client, a security service provider, required a web portal that could manage different user roles and integrate with Customer Premise Equipment (CPE) to manage various services. The portal was expected to offer service desk functionalities and integrate with third-party systems for implementing SMS functionality. The client's customers are organizations that have one or more CPEs and avail different services from the client. The client's business solution is a combination of hardware and software components providing security services and the ability to manage service configurations. The service subscription and service delivery of all office security service-related reports/analysis is controlled from the client’s cloud infrastructure.
Case Study
RPA Solution for Shipment Tracking: A Case Study
The client, a leading service provider to the international engineering industry, was facing significant challenges in tracking and managing the status of shipments. The existing legacy systems and manual processes were cumbersome, time-consuming, and prone to errors, leading to inaccuracies and productivity losses. The client required a solution that could improve visibility, efficiency, quality of service, and profitability by tracking the lifecycle of shipments. The need was for a solution that could provide real-time tracking of worldwide shipment details, and could be maintained within the SharePoint environment for reporting and analytics.
Case Study
Empowering Businesses with Actionable Data through IoT
The client, a provider of services including design and management of social media programs, development of digital engagement strategy, and strategic consultation on international security, was in need of a solution that could help them analyze and visualize social media data. They wanted to offer their customers detailed analyses and visualizations of social media data to help them make informed decisions. The challenge was to create a visually appealing and fast application that could visualize, analyze, and generate market trend reports. The application needed to be scalable to accommodate the ever-growing dataset.
Case Study
Intelligent Prescriptive Pricing: A Game Changer for Logistics Service Providers
A US-based fintech company that offers a cloud-based customer success platform for logistics service providers was facing significant challenges in their pricing and RFP process. The company was struggling to analyze the variables that impact pricing and required an intelligent system that could predict the optimal price that aligns with their business objectives. The existing RFP and pricing workflow was inefficient, leading to delays in determining lane-level pricing and bid analysis for shipping contracts. Additionally, the process of analyzing large amounts of internal and external data from various sources was time-consuming, leading to a low bid win rate.
Case Study
IoT Testing for Home Automation: A Case Study
The client, a leading consumer products company and a member of the Russell 1000 Index, was an emerging player in the home automation space. They offered electronic keyless entry locks for residential use, with home automation applications that enabled users to control lighting and security systems. The challenge was to ensure that the hardware and software of these IoT products worked seamlessly, with the security and performance of the IoT environment guaranteed. The client wanted to ensure that new features in the home automation platform were thoroughly tested before launch. This included QA for Wi-Fi door locks (software and firmware), interoperability testing, multi-country (localization) testing, automation of the Regression Suite (web/mobile/API), and performance and security auditing. The multiple scenarios that needed to be tested and the frequency of releases necessitated a move towards test automation.
同类供应商.
Supplier
Altizon Systems
Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others.
Supplier
Altair
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Supplier
Petasense
Petasense is an Industrial Internet of Things startup based in Silicon Valley. They make learning wireless sensors that connect to the cloud to democratize Predictive Maintenance for industrial customers. The vision of the company is to connect, collect and predict for the industrial world to improve operational efficiency and reduce costs.
Supplier
DataRobot
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.
