RPA and cognitive automation: How it can help businesses

Talking about the application of Robotic Process Automation (RPA) and cognitive automation, experts say that Robotic Process Automation (RPA) and cognitive automation will be a game changer for all enterprises. While Robotic Process Automation (RPA) solves specific challenges, RPA goes far beyond simulating complex processes that require judgmental decision-making capabilities. RPA builds its own rules and makes connections between data sets, to provide business insights. So how is cognitive automation shaping technology outcomes across different industries?

The financial industry can improve fraud management by learning from a wide range of customer data.

For the retail industry, the application of automated systems can increase efficiency by retrieving emails, extracting customer information and updating internal systems. This will result in more accurate reimbursement and less manual work.

For the telecommunications industry, the creation of personalized customer experiences, improved customer response times and providing customers with the right planned services at the right time are crucial.

The healthcare industry can enable proactive care and enhance the drug development pipeline by accelerating the drug discovery process, thereby radically improving the patient experience and generating significant revenue for the business.

In the industrial service industry, process mining can be used to automate routine tasks, such as using robots to track the location of delayed shipments. In addition, cognitive automation can help organizations coordinate the activities of multiple robots to automatically manage the process from order processing to marking goods arriving at the warehouse.

Whether it’s robotic process automation (RPA) or cognitive automation, every industry can benefit from automation. These technologies can help companies automate tedious manual tasks, increase productivity, and enable employees to focus on more meaningful, strategic work.

These two technologies drive growth, enable new business models, accelerate productivity and innovation, and reduce costs.

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