Forrester Research expected that 2019 was the year in which banking digital transformation with automation technologies take center stage.  They were spot on and the value to business has been tremendous.

As they move towards digital transformation intensifies, robotic process automation (RPA), business process automation (BPA) and artificial intelligence (AI) have become a key focus area for technology investment, the research firm says.

One of the most important consequences of the convergence of these technologies — especially as RPA and AI get closer and closer to each other — has been creating a new type of digital worker in more than 40 percent of companies worldwide.

 

2019 Predictions Were Spot On For AI, RPA And BPM

In two of its surveys, Predictions 2019: Artificial Intelligence and Predictions 2019: Automation, Forrester Research was incredibly optimistic about how the once separate fields of AI, RPA, and BPM will converge to' turbocharge' innovation efforts in businesses.

It predicted that automation would eliminate 20 per cent of all service desk interactions by the end of the year due to a successful combination of cognitive systems, RPA, and different chatbot technologies."Companies are already integrating AI building block technologies such as machine learning and text analytics with RPA functionality to generate greater value for digital employees in four uses: analytics that solves nagging application problems; chatbots that boss around RPA bots; Internet of Things (IoT) events that activate digital workers; and text analytics that boosts the value of RPA," Forrester said.

West African Banks Have Some Work Ahead Of Them

However, Emmanuel Tackie, Managing Partner at Impact Tactics, an Accra-based system integration and business process specialist, believes it will take West African companies a while longer to achieve this.Tackie categorizes the form of RPA referred to in reports from Forrester as RPA2.0 or "cognitive automation." Most West African banks have not yet come to grips with RPA1.0, with the possible exceptions of some large financial institutions.

RPA1.0 is a focused software that automates mundane, rigid and defined processes where the rules are very clear and where there is little requirement to deal with exceptions. Once RPA is enhanced with AI-albeit focused AI involving machine learning and text analysis, we achieve intelligent automation, or RPA 2.0, which is capable of processing unstructured data, dealing with exceptions and assist with insightful decision making.

Nonetheless, Forrester, which estimates that the global RPA market between 2017 and 2018 would have expanded by 109 percent, and which it expects would hit sales of $1.70 billion in 2019, also assumes that some 10 percent of current jobs in the United States would soon be lost to automation. It is expected that this metric will increase to 27 percent by 2027.

New Jobs because of automation will be wide spread

It is also anticipated that the automation economy will create new jobs like that of bot managers, operational employees who handle exceptions and escalations and who control the bot outputs. Nonetheless, by the end of 2019, Forrester estimates that these new jobs will constitute the equivalent of 3 percent of today's workforce, with one-tenth of all start-ups hiring more digital employees than human ones.

Moreover, Forrester predicted that one-fifth of service desk interaction would be replaced by intelligent automation (IA), with automation eliminating 20 per cent of all such interactions by the end of 2019.

There's no doubt that RPA provides tremendous upside potential for businesses.

Justice is a senior social marketing and content aggregator for Impact Tactics. Justice writes about artificial intelligence and the role RPA plays to improve business operations.

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