What Is Robotic Process Automation RPA? Everything You Need to Know

Elba Technologies is concentrated on optimizing the business value of your Robotics & Cognitive Automation and chooses the best combination of software to support this target. In order to be ahead of the market, we collaborate with the best in the class of RPA and cognitive solution providers and frequently assess the market to extend our business relationships. In the face of the above-mentioned challenges, ad-hoc implementations of Robotics & Cognitive Automation are doomed to fail. Enterprises require a collective and communicated automation strategy, that is aligned with the overall business strategy in order to make the most of their automation and to realize its strategic benefits. RPA and cognitive automation both operate within the same set of role-based constraints.

Every single step performed by a robot can be tracked and traced for audit purposes. This does not only increase compliance with regulatory and other policies but reduces operative risk to a minimum. A 2017 BIS Research report on the Cognitive Robotic Process Automation (CRPA) market estimates the total CRPA platform and services market to be around $50 million in 2017, growing at a CAGR of 60.9% from 2017 to 2026. Although we must add here that Emerj was not privy to the full research report effectively comment on it. Ushur, an Intelligent Automation Platform purpose-built to automate enterprise workflows and conversations.

Figure 1. Manual vs. RPA

Market research firm Grand View Research estimates that the global chatbot market will reach $1.23 billion by 2025. This projected growth reflects a compounded annual growth rate (CAGR) of 24.3 percent. This makes a great opportunity for the RPA/CRPA stakeholders to provide solutions that can help minimize such issues for the healthcare industry. As a matter of fact, there are only about 20% companies who were able to adopt and materialize RPA properly. The rest of RPA adopters either faced managerial hurdles or could not get the technology right.

The automation footprint could scale up with improvements in cognitive automation components. This form of automation uses rule-based software to perform business process activities at a high-volume, freeing up human resources to prioritize more complex tasks. RPA enables CIOs and other decision makers to accelerate their digital transformation efforts and generate a higher return on investment (ROI) from their staff. For instance, in October 2016, a Swedish bank, Skandinaviska Enskilda Banken (SEB), purchased cognitive robotic process automation software from one of the leaders in the industry, IPsoft, for improving its customer service. RPA leverages structured data to more precisely and accurately execute repetitive human tasks.

RPA vendors embracing cognitive

Robotic process automation technology also requires that the CTO or CIO take more of a leadership role and assume accountability for the business outcomes and the risks of deploying RPA tools. The main challenge faced in such a function is ensuring the processing happens quickly because failing to do so can have many negative consequences. Cognitive automation can assist in monitoring and ensuring batch operations are happening in the right time frame. Furthermore, cognitive automation can predict any possible delay in batch operations. Such predictability makes it easy for organizations to plan better to avert the situation.

It can be seamlessly integrated into existing systems and workflows, working in tandem with AI-driven applications. This combination creates a powerful, self-learning environment where RPA handles the monotonous, data-heavy tasks, while AI refines drug candidates. «To achieve this level of automation, CIOs are realizing there’s a big difference between automating manual data entry and digitally changing how entire processes are executed,» Macciola said. «Ultimately, cognitive automation will morph into more automated decisioning as the technology is proven and tested,» Knisley said. Additionally, modern enterprise technology like chatbots built with cognitive automation can act as a first line of defense for IT and perform basic troubleshooting when end users run into a problem. Where little data is available in digital form, or where processes are dominated by special cases and exceptions, the effort could be greater.

Though the technology transformation has enabled the feeding of the records directly into the digital databases, these databases are updated manually which increases the probability of errors. The insurance sector soon discovered how this technology could be used for processing insurance premiums. Typically, when brokers sell an insurance policy, they send notices using a variety of inputs, such as email, fax, spreadsheets and other means, to an intake organization. The integration of these three components creates a transformative solution that streamlines processes and simplifies workflows to ultimately improve the customer experience. “Robotic process automation takes the robot out of the human; cognitive automation complements and amplifies both the human, and RPA,” said Dr. Mary Lacity, a Walton Professor of Information Systems, during the launch of Blockchain Center of Excellence. Today, RPA software is particularly useful for organizations that have many different and complicated systems that need to interact together fluidly.

• Other important countries in the region, including India, China, Hong Kong, and Singapore, are major financial centers where leading banks and insurance companies have started embracing process automation solutions like RPA.
• RPA solutions are designed to orchestrate service workflows that automate repetitive and rule-driven voluminous tasks.
• For example, they might only enable processing of one type of document — i.e., an invoice or a claim — or struggle with noisy and inconsistent data from IT applications and system logs.
• «Cognitive automation can be the differentiator and value-add CIOs need to meet and even exceed heightened expectations in today’s enterprise environment,» said Ali Siddiqui, chief product officer at BMC.

Robotic Process Automation (RPA), a service specialized by Elba Technologies, allows for swift automation of knowledge work, offering up to six times faster break even compared to traditional methods. As per the McKinsey Global Institute, this automation technique is one of twelve disruptive technologies set to significantly influence our future, standing alongside innovations like autonomous vehicles and renewable energy. RPA effortlessly integrates into any enterprise architecture, negating the need for process or technology re-engineering, by introducing tireless virtual workers that add value to your organization. However, it’s worth noting that RPA is largely dependent on structured digital data governed by predictable business rules.

Use case #2: RPA to process refunds

Another attraction of RPA software is that business units can implement it without their having to learn new tools or ask IT teams for support — and without changing an organization’s underlying IT infrastructure. Cognitive automation is a type of artificial intelligence that utilizes image recognition, pattern recognition, natural language processing, and cognitive reasoning to mimic the human mind. Cognitive automation describes diverse ways of combining artificial intelligence (AI) and process automation capabilities to improve business outcomes. According to IDC, in 2017, the largest area of AI spending was cognitive applications. This includes applications that automate processes that automatically learn, discover, and make recommendations or predictions.

• Fukoku Mutual Life Insurance, one of the leading insurance firms in Japan, claims to have replaced more than 30 human workers with the latest IBM’s Watson Explorer AI technology.
• Middle management can also support these transitions in a way that mitigates anxiety to ensure that employees remain resilient through these periods of change.
• This entails understanding large bodies of textual information, extracting relevant structured information from unstructured data sources and conducting automated two-way conversations with stakeholders.
• He expects cognitive automation to be a requirement for virtual assistants to be proactive and effective in interactions where conversation and content intersect.

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