The first step towards artificial intelligence丨In the era of AI, how does RPA help companies ask for ways to become lean?
Author: UB Store 
as organizational change most disruptive force, AI (artificial intelligence) ever since its birth, it was high hopes.
Many companies want to make a leap through this technology. Similarly, many capitals also want to use AI to attract large amounts of money. According to a survey conducted by market research firm Gartner, since 2015, the proportion of global companies adopting AI technology has increased from 10% to 37%, a growth rate of 270%.
Despite such a high growth rate, in fact, we still have a long way to go from real artificial intelligence. In particular, the commercial landing capability of AI is still extremely limited.
RPA-the first step to artificial intelligence.
Technology leadership does not necessarily mean that it has commercial value. This is fully reflected in the current AI.
The "2018 China Artificial Intelligence Commercial Landing Research Report" contains a "2018 China Artificial Intelligence Commercial Landing Top 100 List". From this list, we seem to be able to get a glimpse of how domestic artificial intelligence commercial landing has become " "The Art of Slaying Dragons".
It is undeniable that the future of AI is bound to be endless, but the current embarrassment of artificial intelligence at the commercial landing level stems from our urgency and the myth of over-capacity. On the other hand, many current AI technologies are not suitable for specific implementation scenarios.
Like the growth trajectory of most technologies, although the industrial application of artificial intelligence is at an early stage, it will continue to move forward. At present, the application of artificial intelligence technology (image recognition, natural language processing, etc.) is mainly implemented in technology-driven enterprises, and the businesses of other organizations lack business opportunities to contact and apply new technologies.
RPA is often regarded as the first step towards artificial intelligence. It is expected to completely improve the way companies work, improve their ability to respond to emerging business trends, and seize the key opportunities in the AI era. RPA proves the value of automation technology, making enterprise personnel more adaptable to work with digital labor, and preparing for the full use of various types of artificial intelligence.
How to crack the "difficulty of landing" artificial intelligence?
In fact, in the process of AI landing, RPA (Robot Process Automation), known as the "good brother" of artificial intelligence, has been neglected before. However, in recent years, more and more companies have realized that RPA is actually the vanguard of AI landing.
On the issue of replacing manual operations, RPA and AI have certain similarities. RPA and the use of artificial intelligence are also inseparable. We can understand the relationship between RPA and AI as human hands and brains.
Artificial intelligence is like the human brain, with the ability to "think" and "learn" and is mainly responsible for issuing commands. RPA is more like human hands, tends to receive and execute commands repeatedly, and usually has the ability to "hands on". As a software robot, RPA is good at performing a lot of repetitive and mechanical tasks based on clear rules.
RPA has an important positive effect on the operation and competitiveness of enterprises. Due to the rich landing scenarios of RPA, it can be applied to many industries including banking, insurance, manufacturing, retail, medical, logistics, e-commerce, and even government and public institutions. RPA has low cost, short deployment time, and high return on investment. It is the first choice for current enterprises to improve efficiency and optimize business processes.
RPA, the key to enhancing corporate competitiveness.
Today, more and more companies are adopting RPA to replace large, repetitive, and cumbersome daily business processes, or to supplement labor for high-intensity work. According to Deloitte's RPA survey report last year, more than 53% of large enterprises have already started the RPA journey; it is expected that in 2020, more than 72% of large enterprises will use RPA technology.
As a currently widely used digital and automation solution, the reason why RPA is so favored by enterprises is mainly due to its strong technical advantages.
On the one hand, machine processing. RPA is essentially a software robot that can work 24/7, which can effectively improve work efficiency and avoid possible errors in manual operation to a certain extent.
On the other hand, it simulates manual operation. The RPA robot records the employee's manual operations, such as mouse clicks, keyboard input, etc., and processes these operations into computer-understandable objects, and executes them under certain rules to simulate human manual operations.
Especially in data import (automatically extract and aggregate data from connected Excel data files, databases, enterprise resource planning ERP systems, bank files and websites), data processing and verification (automatically perform data operations and calculations), identify and manage abnormalities ( If automation cannot resolve the discrepancies, then forward the data or affairs to the human supervisor), reporting and analysis, and auditing compliance, etc., RPA will show its skills.
The emergence of RPA can meet the needs of enterprises with less investment, less resource consumption, and less time spent, and effectively achieve the goal of enterprise process upgrade. It is a powerful guarantee for companies to provide comprehensive, flexible, and high-quality services and products, provide customers with satisfactory services, and continuously enhance their competitiveness.
Widespread application of RPA is only the first step for enterprises to become intelligent. With the rapid development of RPA technology, the "century combination" of RPA and AI in the future will set off a trend of change in more industries.