Build operation and maintenance ecology!Jin Zhiwei launches UniOps app market
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
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
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
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。
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。