Two decades ago, who'd have thought that a machine can perform a tune with our only utterance of a few words or put an alert for us without us moving a finger!
But now we are, residing what looked to be an impossibility long past. The magnificent force behind machines and smart is artificial intelligence.
As of 2018, artificial intelligence (AI) has made considerable inroads in multiple industries and has inarguably become an integral part of the business world. Many businesses are taking autonomous process automation or intelligent automation (the brainy version of RPA) as the first step toward adopting artificial intelligence. Here are six predictions to watch out for in regard to automation in 2019, while we really don't want to be more pundits providing prophecies:
Prediction No. 1: Many tasks will be lost, but more will probably be created by automation.
Through time, many business experts have monitored the impact of intelligent automation. It has been a preconceived belief that existing jobs will be negatively impacted by AI. However, by taking a look at a report by Gartner, which predicts that AI will create more jobs (2.3 million) as it will remove (1.8 million) by 2020, as well as a more 2018 Accenture analysis, which examines how machines will actually help humans get more work completed, it can be reasoned that the entire amount of jobs dropped to intelligent automation will be lower than what it will generate later on. Automation will lead to the production of work opportunities that are new, but using some readjustment from the workforce. Such readjustments have been constant in factories where roles have shifted due to the incorporation of technology and in our development by desk work to computerization.
Prediction No. 2: Even more organizations will unite AI and robotic automation to create digital workers.
In 2019, the RPA marketplace will attain a value of $ 2.3 billion, based on HfS Research. As of occasions, AI and RPA have been treated by tech firms, but 2019 will observe a thrilling mixture of both together with the growth of cognitive advancement. This amalgamation will discover more use cases in the world that are business-to-business.
Prediction No. 3: Small businesses will start to embrace robotic process automation.
Until today, the businesses that have embraced RPA are enterprise-sized businesses. But as we move forward into 2019, many smaller businesses will be observed implementing RPA and similar tools at a significantly higher speed, a prediction that Gartner mentioned in a November press release this past year: "Gartner estimates that 60 percent of associations with a revenue of more than a billion will have deployed RPA tools by the end of the year." And in its Forecast Snapshot report of RPA (paywall), the study firm notes, "This rapid adoption is expected in companies of all sizes."
RPA vendors now will be targeting several tiny companies rather than just enterprise companies. As a result, I believe the share of small and medium-scale enterprises trying or piloting RPA will grow sharply this season.
Prediction No. 4: There will be a stiff competition among associations to utilize AI to acquire right talent.
AI is already being used to acquire talent. However, with the technical ability gap extending and several major businesses set to face major talent shortages by 2030, it seems clear that the conventional recruiting techniques have failed, which should cause firms to start relying on AI more to employ the ideal individuals. In 2019, I believe we can expect to see more firms handling this issue by implementing AI to recruitment -- and job seekers may even be ready to be interviewed by Alexa, Siri or even Cortana.
Prediction No. 5: RPA goods will concentrate on more aspects of information.
This implies RPA will begin to appear at more than simply unstructured information but everything about information, such as data mining, data conversion, and information integration.
Enterprises are slowly seeing the power of RPA and therefore are Implementing it to get longer than just business rules and business processes run using standard operating procedures (SOPs) but can also be seeing it as an alternative to information extraction and transformation technologies such as ETL (extract, transform, load). Vendors can also enhance the standard data collection methods to add more natural language processing (NLP) and AI calculations to process unstructured information faster, enabling organizations to create better business decisions, instantly saving valuable time and resources.
These are merely some predictions of how the smart automation world will grow in the upcoming year and how it will continue to encircle the company world. It's evident that AI and RPA will go full-throttle in the next few decades and aid in establishing several industry-based innovations. While not all of these can come to fruition, I think it's safe to say that 2019 will be a year of some breathtaking innovations with the usage of AI.