Intelligent Process Automation IPA RPA & AI

Various combinations of artificial intelligence (AI) with process automation capabilities are referred to as cognitive automation to improve business outcomes. These technologies allow cognitive automation tools to find patterns, discover relationships between a myriad of different data points, make predictions, and enable self-correction. By augmenting RPA solutions with cognitive capabilities, companies can achieve higher accuracy and productivity, maximizing the benefits of RPA. Intelligent automation (IA) is the combination of AI and automation technologies, such as cognitive automation, machine learning, business process automation (BPA) and RPA. This simplification enables the user to think about the outcome or goal rather than the process used to get that result or the boundaries between applications. RPA imitates manual effort through keystrokes, such as data entry, based on the rules it’s assigned.

Cognitive process automation can automate complex cognitive tasks, enabling faster and more accurate data and information processing. This results in improved efficiency and productivity by reducing the time and effort required for tasks that traditionally rely on human cognitive abilities. Deloitte explains how their team used bots with natural language processing capabilities to solve this issue. You can also check our article on intelligent automation in finance and accounting for more examples. RPA is relatively easier to integrate into existing systems and processes, while cognitive process automation may require more complex integration due to its advanced AI capabilities and the need for handling unstructured data sources. Within a company, cognitive process automation streamlines daily operations for employees by automating repetitive tasks.

Use case 3: Attended automation

Cognitive automation represents a range of strategies that enhance automation’s ability to gather data, make decisions, and scale automation. It also suggests how AI and automation capabilities may be packaged for best practices documentation, reuse, or inclusion in an app store for AI services. IBM Consulting’s extreme automation consulting services enable enterprises to move beyond simple task automations to handling high-profile, customer-facing and revenue-producing processes with built-in adoption and scale.

However, initial tools for automation, which includes scripts, macros and robotic process automation (RPA) bots, focus on automating simple, repetitive processes. However, as those processes are automated with the help of more programming and better RPA tools, processes that require higher level cognitive functions are next in the line for automation. While RPA systems follow predefined rules and instructions, cognitive automation solutions can learn from data patterns, adapt to new scenarios, and make intelligent decisions, enhancing their problem-solving capabilities.

What is the goal of cognitive automation?

He says you need to be prepared to stand up and be different, to be visible. In other words, you need to be prepared to evangelize and make the case for enterprise automation (probably referencing some of the points above). He cognitive automation solutions also highlights the importance of embracing early collaborators – “The first follower transforms the ‘lone nut’ into a leader”. Built using a cloud-first approach, TCS’ platform is API-enabled and available on hyperscalers.