Robot supply side should pay more attention to its practical applications

“After the design and manufacturing, intelligent robots need to be applied into real scenarios practically. Only the down-stream make full use of the robot, will the industrial chain of up-stream (supply side) be more and more mature.

Therefore, the teaming-up is key to the development of AI and robotics, which will make the down-stream have the feeling that robot and solution suppliers are solving the real problems, and further reducing business running cost, improving the service experience and intellectualization level.”

The statement was issued by Ryan Wu, the Vice President of Sanbot Robotics stated. Ryan added more, intelligent robots are going into various industries and will become the hotspot in the industrial area, social service area, media area and intelligent traffic area, and more.

The developer chain of Sanbot robots has come out maturely, which is mainly due to the company’s concept “Robotics-as-a-Service”. Now there are over 100 enterprises and partners customized the special practical solution based on Sanbot robots. These partners are serving for retail, beauty, catering, education, healthcare, banking, customs, court and more sectors.

People in Financial Sector Should Co-work with AI and Robotics

With the rapid development of science and technology, four big accounting enterprises have introduced artificial intelligence and financial service robots, and the basic financial work will be replaced by these AI robots. In China, the Accounting Qualification Certificate which was effective has been abolished. The accounting work, which has been known as a stable accounting work, has now become a “high-risk” job.

With the introduction of AI technology into accounting, financial service robots can quickly read thousands of complex accounting documents, grab and construct text information to make better analysis. The advanced robots can replace manual operation in the financial process, manage and monitor the automated financial process, input information, consolidate data and summary statistics, and identify the optimization points in the financial process according to the established business logic. The repetitive work, with a programmable autonomous robot, can avoid and improve work efficiency. If financial personnel only have the ability of low-level financial accounts and some basic accounting work, he may be either unemployed or transform to learn to cooperate with AI.

Now a lot of financial people engaged in the basic financial work will face many problems: there are a lot of reports and data that need to be processed, and they have to stay up late to work overtime if they don’t finish it at daytime. They hope an intelligent service robot can help them with the problems, but they also fear the robots take away their jobs.

In fact, the financial service robot is a tool, which is made and used to make our work better; and of course, the robot will only take over the jobs of the low-end financial personnel. The financial people who are capable of more financial abilities, better financial management, excellent decision-making, and business understanding will be the comprehensive talents that the enterprises need. Faced with the challenge of AI and robotics going to the financial sectors, it is better to learn more accounting knowledge and skills and do more high-end management accounting work, and work together with the advanced humanoid robots to improve work efficiency and make the work better.