Shulou(Shulou.com)05/31 Report--

In 2014 and 2015, artificial intelligence and machine learning were in full swing at the scene, with the huge investment of technology leaders such as IBM and Microsoft and the ensuing forced hype. Craig Le Clare, an analyst at Forrester Research, says the AI / AI market now seems to be "lagging behind". Claire gave a speech at an event hosted by Automation Anywhere, pointing out that intelligent software robots are increasingly accepting automation challenges from enterprises in a more gradual way.

In fact, all forms of intelligent automation take time to accept and adopt the enterprise. Of the 600 CIOs surveyed by KPMG, only 17% admitted that their company had fully operational intelligent automation technology, and 30% didn't even know where to start. The problem is the lack of personnel and technical resources, as well as the lack of organizational support and accountability.

The Big Bang AI and machine learning projects may remain in the pilot and proof-of-concept phase, but a less attractive form of intelligent automation may be infiltrating 3354 software robots associated with robotic process automation (RPA) across enterprise processes and channels. These robots usually undertake tasks for a single purpose, such as extracting data for purchase orders or sending emails for transaction confirmations. Most of the companies surveyed by Deloitte last year (53 per cent) reported that they had established RPA,72% and expected to set up RPA within the next two years.

Le Claire wrote in his recent book, invisible robots in the still night: "Software that runs in a fuzzy data center that no one can see will change or replace the work of cubicle workers, coordinators and even knowledge workers. These "digital workers" are "invisible robots being built on the RPA platform". Simply put, robots built on these platforms simulate what humans do on computers. Repetitive tasks, such as publishing data to financial applications, can be easily programmed into robots. "

Here is kicker: "unlike many machine learning programs that may require data scientists, RPA is easy to deploy."

Enter the software robot that RPA now enables. "the most destructive form of artificial intelligence will be software robots," Le Claire said. Some people combine robotic process automation with different AI components. Others will simplify the algorithms that run in machines that make decisions that humans have made. There are also chatbots that help solve customer problems. By 2025, most workers will have a personal robot that can be configured through text and use emerging forms of self-configured machine learning. "

Although physical, mechanical robots and artificial intelligence initiatives have attracted great attention as various forms of intelligent automation, RPA and related software robots have been gradually used by enterprises for a variety of tasks and run under radar to a large extent. Some organizations may have hundreds or even thousands of software robots operating behind the scenes. As the amount of data they generate and consume increases, so does their intelligence.

Deloitte's research found that the benefits of RPA are real. It is reported that in less than 12 months of return, an average of 20 per cent of FTE is provided by robots. These benefits include increased compliance (92%), improved quality / accuracy (90%), increased productivity (86%), and cost reduction (59%).

However, as Leclerc warned in a recent speech, some headwinds may slow the progress of RPA and software robots. For example, manufacturing robots, especially in organizations with hundreds or even thousands of such robots, can lead to maintenance costs and headaches. "A robot with 30 decisions and 8000 clicks may need two or three people to maintain," he said. "in addition," companies today don't know how much automation costs. A company can save 8000 people's time through automation, but what happens at these times? "

Leclerk predicts that artificial intelligence and software robots will be used more and more, but these efforts are still new. "it's still hard to find really good implementations of RPA and AI," he said. Nonetheless, significant progress has been made-RPA is moving beyond the "simple record of human clicks" and robots are increasingly generating and consuming data around human-computer interaction.

These software robots are part of the new "digital labor force". They will undertake most of the heavy work of today's offices and knowledge workers and should be treated accordingly. Le Claire writes in his book: "even today, software robotics experts still advise us to manage digital workers, that is, software robots that work for humans, just as we manage human workers." This means tracking their recruitment dates (software creation) and appointing a boss (responsible for designing, training and protecting password access for robots). Every boss even has a performance review and departure date (when they are fired). In this way, the governance and management of digital workers and manual workers are merging.

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