Aspire Systems

概述
总部
印度
|
成立年份
1996
|
公司类型
私营公司
|
收入
$10-100m
|
员工人数
1,001 - 10,000
|
网站
|
公司介绍
Aspire Systems 是一家外包产品开发公司,致力于帮助我们的客户更好更快地构建软件产品。我们与一些世界上最具创新性的独立软件供应商和支持软件的企业合作,从初创企业到成熟的行业领导者,改变软件的构建方式。我们的产品开发方法基于我们通过多年的产品构建经验发展和完善的 Producteering 的开创性概念。 Producteering 是一套原则和实践,由合适的人驱动并由合适的平台支持。严格应用产品设计,总会产生设计精良的高质量软件。
物联网解决方案
AURAS 断开连接的系统、流程和技术已成为致命弱点,阻碍了组织与新兴的数字业务力量的联系。许多企业仍在遭受不良集成实践的困扰,使他们的组织无法兑现其数字化承诺。为了帮助每个企业快速实现其数字计划,Aspire 构建了 AURAS,这是一个同类最佳的集成解决方案加速器,可连接混合 IT 环境中的所有数据、应用程序和系统,并有助于加快业务敏捷性。
子公司
物联网应用简介
技术栈
Aspire Systems的技术栈描绘了Aspire Systems在基础设施即服务 (iaas), 分析与建模, 功能应用, 和 传感器等物联网技术方面的实践。
-
设备层
-
边缘层
-
云层
-
应用层
-
配套技术
技术能力:
无
弱
中等
强
Supplier missing?
Start adding your own!
Register with your work email and create a new supplier profile for your business.
实例探究.

Case Study
Architected and Implemented a Data Lake for a Big5 Consulting Firm
The customer was looking to digitize their business operations. As a part of that, they were in need of a partner to do a technical proof of concept on Cortana analysis suite (CAS’s) data lake set of offerings. Some of the needs were:Bring in data from multiple cloud tenants into a single locationRun Descriptive and Predictive Analytics on those dataEstablish a regular schedule as well as data organization for the aboveNeed for one consolidated version of data points

Case Study
The Biggest Challenge for FinTechs Worldwide
Among FinTechs globally, 81 percent have reported data to be their biggest technical challenge. These data issues are split between leveraging data for AI-ML (faced by 41 percent) and connecting to customer applications and data systems (faced by 40 percent). More data issues faced by FinTechs are security (40 percent) and deployment in multiple clouds (39 percent).The consequences of data issues faced in leveraging data for AI in deriving valuable insights is trouble faced to innovate further due to a lack of clear picture about the type of products and services that customers require and about the businesses themselves. The lack of ability to connect to customer applications directly impacts the user experience and the ability to offer their present products to the wider customer base.Also, the consequences include the inability to secure partnerships with incumbent banks, and the more serious one of a lack of regulatory compliance. The above two consequences could bring into question the aspect of survivability and data issues at the root of them should be solved before they take effect.

Case Study
Reduced 50% Operational Cost
The client had implemented Oracle Retail Applications for business activities such as merchandising, planning, stores, and warehouse management. Financial requirements were taken care of by EBS. The solutions were deployed on cloud services such as Oracle Linux, IBM, and AWS cloud.The challenges are s follows:Lack of high availability for applications and databases, which affected the operational performanceDifficulty to scale and handle traffic spikes and loadsNeed to complete migration before the expiration of on-premises licensesLack of robust security with on-premises infrastructureIneffective management of cost and resourcesUpgradation of OS, database, and server versions along with migration

Case Study
Application Re-architecture and DevOps on Cloud
The client was using a monolith architecture-based application and suffered from a lack of agility with complex interdependencies. They had been practicing extensive manual testing and strived to keep release on track. With their outdated framework, it became a huge task to adopt a new framework and to implement continuous deployment which required the entire application to be redeployed.

Case Study
Continuous Support and Monitoring of AKS
The client needed help with Azure Cloud Services and also requested continuous support and monitoring of their Azure Kubernetes Service. The client faced several issues including unavailability of application for 30 minutes during AKS update and also required a solution to fix their AKS vulnerability. They also wished to reduce their turnaround time by implementing Azure best practices.The other issues they faced included lack of support for on-premise systems, complex deployment in CPT and their PDMS application involving AI/ML, redundant storage accounts and application service plans, not enough pods available, and inefficient pod deployments.
同类供应商.

Supplier
C3 IoT
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009

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.
Supplier
Teksun Inc
Teksun Inc provides complete, end-to-end product development services, guiding you through the entire product development process from concept through commercialization, Teksun’s niche expertise of 100% in-house design and development includes IoT, AI/ML, Embedded Hardware, Firmware, Cloud Architecture, & Big Data products.Teksun develops highly innovative products and services which support the ongoing digitization of your enterprise mission.

Supplier
Alteryx
Alteryx, Inc. was formed in 2011 and is a leader in self-service Data Science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.