Build operation and maintenance ecology!Jin Zhiwei launches UniOps app market-足球买球官方网站

In recent years, with the continuous rapid growth of China, the type and scale of data have also surged, and data has gradually become the core asset of enterprises, driving the enterprise decision-making mode from empirical decision-making to intelligent decision-making。At the same time, the vigorous development of new generation information technologies such as artificial intelligence and big data has provided technical support for the intelligent upgrading of enterprises。Under the dual promotion of technological development and market demand, it is particularly important for enterprises to carry out operation and maintenance model innovation based on digital intelligence, and accelerate the creation of intelligent engines and actively embrace the wave of digital intelligence have become the only way to promote the development of enterprises。

Common pain points of intelligent transformation of enterprise operation and maintenance

On the one hand，The existing business system and automation technology architecture has been unable to meet the current business needs，Businesses need to use advanced tools and technologies，Transform massive amounts of data into information that can be observed, understood, and analyzed，To support decision making, optimize operations and create value;On the other hand，The transformation of digital intelligence also means a change in the way of organization and collaboration，Enterprises need to establish data sharing platforms and collaboration mechanisms across departments，Break down information silos，Maximize employee productivity，Put more employees into higher-value work。

However, the process of intelligent transformation of operation and maintenance is not achieved overnight, and the following pain points are often encountered in the process of achieving the goal:

Insufficient intensive capacity

As enterprises continue to expand their operations, their related information and data have also increased dramatically, which not only increases the difficulty of processing and management, but also increases the difficulty of data when it is scattered in different information systems and data sources.It will also lead to data isolation and information silos, further restricting the ability of enterprises to centralize and share data,Affect the overall analysis of data by the enterprise。

Lack of innovation ability

Some enterprises in order to improve the ability of data aggregation,The centralized management of operation and maintenance is usually achieved by adopting large-scale system integration or building a unified operation and maintenance management platform。However, in order to achieve dynamic, refined and vertical management, the traditional solution model cannot quickly adapt to the many differentiated needs derived from actual production.And the increasingly large and increasingly coupled system has brought about stability hazards that affect the whole body.As a result, many enterprise operations teams choose to maintain the status quo and are unwilling to try to innovate。

Lack of replicable templates

In order to further accelerate the speed of transformation, it is very common to learn and draw on the excellent transformation experience and advanced practices of the same industry, but because of the different operation and maintenance management methods of different enterprises and the different levels of operation and maintenance investment, the excellent experience of peers cannot be completely copied。Problems such as the construction of standardized and refined operation and maintenance standards restrict the further development of the intelligent transformation of enterprise operation and maintenance。

Jin Zhiwei UniOps application market

In order to solve the problems faced by the intelligent upgrade in the field of enterprise operation and maintenance, Jin Zhiwei was the first to launchUniOps application market。The application market is presented in the form of an ecological market, which breaks down the large and comprehensive unified management platform into small and precise scene applications. The applications are realized through low-code technology, with a loosely-coupled architecture, which can be deployed independently or combined, and can be quickly replicated and secondary generated on the implementation siteFlexible, fast and agile, national innovationTo achieve the goal of resource sharing, and finally form an operation and maintenance application ecology。

Nowadays, more and more industries and fields are actively exploring the application of RPA+AI technology in various business scenarios to achieve business process automation and intelligence, and RPA+AI can also display its capabilities in the field of operation and maintenance。

Jin Zhiwei UniOps application market relies on Jin Zhiwei self-developed RPA+AI+ low code technology, precipitation monitoring, management, control, analysis four major operation and maintenance capabilities, to achieve seamless process, play the value of data, improve the degree of automation,Help enterprises to build a safe and stable, autonomous and controllable, solid and stable ecological technology base。

Jin Zhiwei RPA is favored by enterprises because of its security and stability, and can quickly automate business processes in lightweight, non-invasive and other ways, and after continuous integration of various self-developed AI capabilities, RPA's control capabilities, automation capabilities, and intelligent analysis capabilities have been further improved。On this basis，Jin Zhiwei around the operation and maintenance supervision, management, control, analysis of four directions，Green Pine Enterprise Low code platform (K-Pine) combined with Jin Zhiwei's mature RPA technology and rich AI product matrix，Help enterprises build integrated operation and maintenance construction solutions that adapt to their own business development，Comprehensively deepen the operation and maintenance capabilities of enterprises，Help enterprises accelerate the transformation of digital intelligence。

Jointly build operation and maintenance application ecology

In order to accelerate the development of operation and maintenance applications and help the intelligent transformation of operation and maintenance of thousands of industries, Jin Zhiwei actively builds an operation and maintenance application ecosystem and establishes a sound research, production and marketing system based on the UniOps application market。Internally, Jin Zhiwei establishes a standardized application review mechanism, encourages all employees to participate in innovation, and quickly generates independent applications based on a unified technology stack and combined with customer demand scenarios。After the excellent application is released, it will be quickly promoted to the customer side in the form of what you see is what you get。

Externally, Jinzhiwei provides a development platform for all customers, and welcomes customers to jointly enrich the content of operation and maintenance scenarios and improve the operation and maintenance ecology。Whether customers produce applications on their own or cooperate with Jin Zhiwei for research and development, they can be released through the UniOps application market to better meet the needs of thousands of industries for the construction of automated operation and maintenance platforms and improve the efficiency of enterprise operation and maintenance work。

The digital intelligence transformation in the field of enterprise operation and maintenance is a comprehensive change, which not only involves the innovation of tools and technologies, but also requires the participation and joint efforts of all employees under the entire ecological layout。In the future, Jin Zhiwei will continue to promote“RPA+X”In-depth integration and landing in the field of operation and maintenance, and constantly build a perfect operation and maintenance service system for enterprises, help enterprises reduce operation and maintenance risks and operation and maintenance costs, and help thousands of industries better realize the intelligent transformation of operation and maintenance。

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