Top 5 Predictions for AI and ML-based Automations in 2019

AI hiring

Two decades ago, it was difficult to imagine that machines could play songs or tell sport-scores just with the utterance of some words. No one would have also imagined that devices in future could provide information, deliver news, and tell about the weather without moving a finger. But it’s a reality now and, we are living out it. The force that has made interactive machines possible has come from capabilities of AI application development and its subset ML.

AI and related technologies have already started to make their way to a number of industries and are inarguably becoming an essential part of the business world. Many organizations, particularly from the manufacturing sector, are implementing AI and ML to automate processes as the first step towards adopting these technologies. While no one can provide a prophecy about how AI and ML technologies will affect us in the future, we can still try to make short term predictions that would be taking place in 2019.

Prediction No. 1: AI will generate more jobs than people thinking it snatching

AI taking jobs of humans

Industry experts have been tracking the impact of AI automation and coming with preconceived notions that AI will negatively affect jobs. But look at what Garner has found. The firm’s report says AI will create more jobs than eliminating by 2020. A different 2018’s Accenture study notes how AI will help humans to get work done productively. No doubt, AI automation will snatch some jobs, but they will be lesser than jobs created because of it. The AI-based automation will create new work opportunities when readjusted.

Prediction No. 2: Organizations will blend distinctive technologies, AI and robotic process automation into one

merging AI and RPA

A November 2018’s HfS research says that robotic process automation (RPA) will reach a worth of $2.3 billion in 2019. Up until now, tech firms providing software solutions have been treating AI and RPA as distinctive technologies, but in 2019, we will witness interesting combinations of these two into one with the growing use of cognitive automation. The blend will certainly attract more organizations to adopt these AI and ML-based automations.

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Prediction No. 3: Small businesses will search for scopes in RPA

small business robot innovations

So far big organizations have been adopting RPA, but this trend will also change in 2019. Smaller firms have already started to adopt RPA and similar tools at much higher and bigger rates. Gartner has predicted this in its November 2018 PR. As of the estimation of the research firm, 60% of organizations with revenue of more than $1 billion will have implemented RPA tools by the end of the year. The adoption is expected to happen at a rapid rate in all sizes of organizations. Also, RPA providers will use AI and target small businesses.

Prediction No. 4: Organization competing stiffly to use AI to acquire talent

AI hiring

It’s true that the talent gap across industries is widening. As of a report jointly released by LinkedIn and French professional services firm Capgemini, several big industries would face major talent shortages by 2030. It will happen if they continue with the conventional recruitment techniques. To avoid this situation, many recruitment firms and organization with high recruitment rates have already started using AI capabilities to acquire talent. They are relying on AI solutions to hire the right candidates. As expected, more companies would look at the advantages of applying AI to the recruitment process. Going a step ahead, job seekers may have to prepare them to be interviewed by a voice-enabled assistant, like Alexa, Siri, and Cortana.

Prediction No. 5: RPA solutions will be focused more on data

RPA automation

The typical robotic process automation is still not using too much data, but in the future, we will see everything around data only. With organizations gradually seeing the power of AI-RPA, many are leveraging it not just for standard operating procedures but as an alternative to data extraction and transformation technology. By including more natural language processing and AI-Ml algorithms, vendors will improve traditional data collection methods to speedily process unstructured information. This will help organizations to make better decisions, save valuable time, and resources.

These are the predictions how the AI powered automation will evolve and reshape businesses in 2019. It’s now clear that RPA and AI will go hand-in-hand in the next five years and realize many industry automation innovations.

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