As organizational change most disruptive force, AI (artificial intelligence) ever since its birth, it was high hopes.
Many companies want to realize their own leap through this technology. Similarly, AI would like to take a lot of capital but also a large number of suction gold. According to market research firm Gartner survey found that, since 2015, global use of AI technology companies rose from 10-37 percent, the growth rate of up to 270%. Despite such a high growth rate, but in fact, at present we are from true artificial intelligence is still a long distance to go. In particular AI commercial landing capability, but also extremely limited.
Technical strength ≠ liquidity
Leading technology does not necessarily represent its commercial value. This is reflected in the current AI body thoroughly.
"2018 China Business landing Artificial Intelligence research report" contains a "2018 China Top 100 list of artificial intelligence business landing" from this list, it seems that we can now glimpse domestic commercial landing artificial intelligence is how to become " Dragon's technique ".
Operating income in 2018 is expected to more than 1 billion artificial intelligence are only eight, most of the enterprises with annual revenues of less than 2 million. In addition, revenue in 2017 China Commercial Floor AI 100 start-up companies generated a total of less than 100 billion yuan, more than 90% of the AI business losses. According to previous data of various artificial intelligence to predict the potential value of various industries, entertainment, digital, manufacturing, etc. are about hundreds of billions or even trillions, but the reality is so cruel.
Admittedly, AI's future will certainly promising, but now artificial intelligence in an awkward position in the commercial floor level, on the one hand from our rushed, over-the myth of their ability. Currently, many other is no suitable technical AI particular implementation scenario.
Most of the growth trajectory of the same technology, industrial applications of artificial intelligence, though in its early stages, but will continue to move forward. At present, the application of artificial intelligence technology (image recognition, natural language processing, etc.) mainly in technology-driven companies in the implementation, lack of contact with other organization's business applications and business opportunities of new technologies.
How to crack the artificial intelligence "hard landing"?
In fact, in the process of landing in AI, artificial intelligence known as the "good brothers" RPA (robotic process automation) had been much neglected. However, in recent years, more and more companies realize, RPA AI is actually the vanguard.
In the alternative manual operation this issue, RPA and AI have some things in common. RPA and the use of artificial intelligence, but also inseparable. We can RPA relations with the AI, understood as human hands and brains.
AI like the human brain, with "thinking" and ability to "learn", is responsible for issuing commands. RPA is more like human hands, tend to repeatedly receive and execute commands, usually have the ability to "hands on". RPA as a software robot, good execution based on clear rules, a lot of repetitive and mechanical work.
RPA-to-business operations and competitiveness has an important positive role. Since the rich RPA landing scene, like so many industries, including banking, insurance, manufacturing, retail, healthcare, logistics, electricity providers and even government, public institutions, etc., can be applied. RPA technology is low cost and short deployment time and high return on investment, is the current enterprises to improve efficiency and optimize the business processes of choice.
RPA- first step towards artificial intelligence
RPA also often considered to be the first step toward artificial intelligence, it is expected to complete work to improve the business, improve ability to respond to emerging business trends, to seize the initiative in key AI era. RPA demonstrated the value of automation technology to enable enterprises to better adapt to the personnel working with digital workforce, and then prepare for the comprehensive use of various properties of artificial intelligence.
RPA just wide range of applications enterprises into intelligent first step. Accompanied by RPA technology rapid development, the future of "combined Century" RPA and AI, it will set off a trend in the industry for more change.