IT asset management is an important part of business management, but often easily overlooked, many enterprises management has become blind.
According to Gartner, the world's only less than 25 percent of companies have proper IT asset management planning. Most companies (especially large state-owned enterprises, traditional companies) still use manual tracking and monitoring complex way. Because some companies do not understand the basis of their IT assets, resulting in time, money, loss of system performance. 
What is IT Asset Management?
IT assets mainly refers to companies or organizations have, can bring value to the business of hardware, software and information assets.
As an important part of IT management and IT governance, IT asset management (IT Asset Manager, ITAM) to help IT organizations more effectively improve asset utilization, avoid unnecessary asset purchases, ensure software compliance, reduce IT costs, reduce IT risk and maximize the return on their IT assets.
Levels of value and IT services directly related to the level of IT application of IT asset management level. However, due to the management process involves technology, finance, procurement and many other sectors, not only a huge asset data flow of the process cumbersome and consumes a lot of manpower and time, data errors caused by human error also prone.
With the deepening of the digital transition, increasingly complex IT infrastructure, network security breaches also increase, IT asset management to the enterprise to bring greater challenges.
Today, many companies have begun to seek a combination of AI RPA and IT asset management solutions. 
RPA perform redundant tasks to improve the efficiency of
the implementation of RPA will reduce the workload and cost of IT asset management.
Weather robot can work efficiently, the processing speed is more than 8 times artificial, and almost without error, effectively prevent flaws caused by manual operation.
Flexible expansion capabilities and "non-invasive", the RPA can be cross-sectoral integration across multiple applications, the tedious process automation. If there are problems, the robot will complain immediately to ensure timely feedback IT asset management in all sectors.
Analysts RPA is a good assistant, and can replace them perform redundant tasks, reducing the workload, so analysts have more energy to make more informed decisions, in order to reduce the cost of purchasing IT assets.
AI let unstructured data management more "number"
of software applications or hardware assets, usually require other legal processes to deal with approval, signature, contract negotiations, license modification and clarification. The tasks associated with these processes and include e-mail, voice mail, chat robots in unstructured data or images. At this point, only the RPA is not enough, must help AI unstructured data management.
RPA may be unstructured raw data to AI, AI-processes the data and sends the results back to the RPA. Then, RPA then the results linked to the corresponding IT assets execution flow. This allows fast processing, e-mail and voice mail service requests from the chat robot.
RPA + AI make IT asset compliance audits more accurate
IT asset auditing to ensure that companies comply with software licensing agreements and regulations. To ensure compliance, companies should self-audit on a regular basis. But it often takes a lot of time and resources. Many companies because there is no comprehensive IT asset management, it is difficult to self-audit, can only rely on the audit report of the external auditors.
The combination of the RPA + AI IT asset management can minimize or eliminate the required corporate self-audit process redundant manual tasks. In this way, the internal auditor will be able to put more time and energy to focus on the analysis results, it helps them grow as analysts, providing more valuable insights.
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