Ready…Set… Automate!

Information Technology ServicesWe offer research insights about the impact of cloud, digital, and automation to help you capture more value from information technology services. Service ProvidersWith deep, earned knowledge, we help service providers make vital decisions about services, pricing, and locations in a constantly changing environment. RPA is the right solution if your process involves structured, large amounts of data and is strictly rule-based. Cognitive Automation is used in much more complex tasks such as trend analysis, customer service interactions, behavioral analysis, email automation, etc. These widely publicized examples show how AI is being used in today’s data-driven marketplace.

• Even a minor change will require massive development and testing costs.
• Your team has to correct the system, finish the process themselves, and wait for the next breakage.
• A digital workforce, like a human workforce, is pre-trained and ready to work for you.
• However, there are going to be plenty of situations that do require human decision-making, and when there is voluminous data involved, it can become very challenging for the human workforce to make the right decisions.

So it is clear now that there is a difference between these two types of Automation. Let us understand what are significant differences between these two, in the next section. To make an informed decision for investing in AI technologies, it is important to understand the differences of both RPA and cognitive automation. EPAM Continuum experts explore the current state of customer contact center experiences and how tools like intelligent automation can help businesses maintain stronger customer relationships. The phrase conjures up images of shiny metal robots carrying out complex tasks.

Applications of Robotic Process Automation

For instance, at the outset, executives believe RPA is an easy way to automate tasks and thus increase productivity. But the study participants’ experiences reveal that, in theory, RPA is simple but, in practice, it’s difficult. Because RPA is a digital transformation journey, and there are complications when trying to unleash digital transformation. “Aware” automation holds promise for resolving the challenges and complexity of traditional IT infrastructure. With IT infrastructure complexity at an all-time high, Everest Group has found that 72 percent of enterprises cite infrastructure services as a key hurdle in becoming a digital-first enterprise. Most enterprises believe that their IT infrastructure services are not moving fast enough to support and drive the future of their business.

The steps are current state assessment, next identify and map processes based on complexity of automation. Next, choose a technology implementation partner and conduct a pilot program to check the success of automation and finally automation of the entire processes and scaling up. Read one of our customer success stories to know how Flatworld automated Loan Quality Investment Process for a Mortgage Company in US using Cognitive process automation. From construction jobs to traditional white-collar jobs such as Insurance, AI driven processing for operations is now becoming increasingly routine.

Insurance – Claims processing

AI and machine learning tools are focused on operationalizing the data science process. Enterprise automation initiatives like iPaaS and RPA continue to focus on accelerating legacy tasks and processes. Since Cognitive Automation uses advanced technologies to automate business processes, it is able to handle challenging IT tasks that human users may struggle with. Additionally, this software can easily identify possible errors or issues within your IT system and suggest solutions. Additionally, this software can easily identify and identify possible errors or issues within your IT system and suggest solutions. To solve a single problem, firms can leverage hundreds of solution categories with hundreds of vendors in each category.

Thereafter they assess the quality and feedback process and basic administration of the solution deployed on your platform. As your business process must be re-engineered, our team ensures that the end users are aligned to the new tasks to be performed for smooth execution of the process with CPA. Conversely, cognitive intelligence understands the intent of a situation by using the senses available to it to execute tasks in a way humans would.

Although Artificial Intelligence is often used as a buzzword in the technology space, it’s commonly misused. Rather, it is Machine Learning that is used in Intelligent Process Automation that makes it, well… intelligent. Machine Learning helps Robotic Process Automation recognize patterns and improve through experience. This enables Intelligent Process Automation to take on more complex and advanced processes than Robotic Process Automation alone. The next breed of Business Process Automation is Intelligent Process Automation . Exactly as it sounds, it is the concept of injecting intelligent, machine learning capabilities into Robotic Process Automation.

However, if you want a complex system that can handle unstructured data and requires accurate decisions, you should use cognitive intelligence. RPA has helped organizations reduce back-office costs and increase productivity by performing daily repetitive tasks with greater precisions. Tasks can be automated with intelligent RPA; cognitive intelligence is needed for tasks that require context, judgment, and an ability to learn. The second component of intelligent automation is business process management , also known as business workflow automation.

The applications of IA span across industries, providing efficiencies in different areas of the business. That is capable of performing complex tasks that require extensive human thinking and activities. Using the technologies implemented in AI, Cognitive Automation is able to handle non-routine business functions to quickly analyze data and streamline operations. RPA is a process-oriented technology and uses rule-based principles to work on time consuming tasks. Cognitive automation is knowledge-based and defines its own rules by understanding human conversations and behaviors.

While many companies already use rule-based RPA tools for AML transaction monitoring, it’s typically limited to flagging only known scenarios. Such systems require continuous fine-tuning and updates and fall short of connecting what is cognitive automation the dots between any previously unknown combination of factors. Cognitive automation is an umbrella term for software solutions that leverage cognitive technologies to emulate human intelligence to perform specific tasks.

Cognitive automation: AI techniques applied to automate specific business processes

In an enterprise context, RPA bots are often used to extract and convert data. After their successful implementation, companies can expand their data extraction capabilities with AI-based tools. Claims processing, one of the most fundamental operations in insurance, can be largely optimized by cognitive automation. Many insurance companies have to employ massive teams to handle claims in a timely manner and meet customer expectations.

In the case of Insurance industry, when brokers sell a policy, they send data using a variety of inputs, such as email, spreadsheets, PDF documents and other means, to an intake organization. This data can also be easily analyzed, processed, and structured into useful data for the next step in the business process. IQ Bot is a cognitive automation tool from Automation Anywhere’s global digital workforce platform that learns from human input and solves specific use cases without requiring AI experts or data scientists.

Next, he/she will attempt to digitize the forms by performing optical character recognition and convert printed text into machine-encoded text. If certain documents fail the OCR attempt, he/she will have to reprocess the failed documents or manually input invoice data into his/her ERP system. Then, he/she validates against the back office system which may trigger an approval workflow to his/her supervisor. Built on an open, hybrid platform and embedded with Watson, IBM AI-Powered Automation is an integrated suite of domain-specific business and IT software -IBM Cloud Paks for Automation. Predict anything from marketing results and financial decisions (e.g., loan approvals) to customer satisfaction and loyalty.

If your process involves structured, voluminous data and is strictly rules-based, then RPA would be the right solution. However, if you deal with complex, unstructured data that requires human intervention, then cognitive automation would be more apt for your organization. Cognitive automation is a knowledge-based approach, using advanced technologies like data mining, text analytics, and machine learning to take complex data and make it easier for humans to make better, more intuitive business decisions.

Cognitive automation is a sub-discipline of AI that combines the capabilities of human and machine. It uses various techniques to simulate human thought process, such as machine learning, natural language processing, text analytics, data mining, and pattern matching. It can process the data only when it is available in a structured or semi-structured format.

• This is being accomplished through artificial intelligence, which seeks to simulate the cognitive functions of the human brain on an unprecedented scale.
• Real value propositions – while a great idea is always fun to talk about, the story quickly fades if the economics are insufficient.
• RPA is effective for tasks that do not require thinking, decision making, and human intervention.
• For example, an enterprise might buy an invoice-reading service for a specific industry, which would enhance the ability to consume invoices and then feed this data into common business processes in that industry.
• You’ll also gain a deeper insight into where business processes can be improved and automated.

This approach ensures end users’ apprehensions regarding their digital literacy are alleviated, thus facilitating user buy-in. Typically, organizations have the most success with cognitive automation when they start with rule-based RPA first. After realizing quick wins with rule-based RPA and building momentum, the scope of automation possibilities can be broadened by introducing cognitive technologies.

Automation Anywhere is well known in the industry as a leader in enterprise-grade cognitive capabilities and analytics, and provides an intuitive platform for the most powerful automation activities. Apexon has partnered with Automation Anywhere to help our clients implement RPA across their enterprises. By introducing cognitive automation, your workforce is able to focus on tasks that are better suited for human intervention such as creativity, decision-making and managing exceptions. Learn about intelligent automation , which combines AI and automation technologies, to automate low-level tasks within your business. By eliminating the opportunity for human error in these complex tasks, your company is able to produce higher-quality products and services. The better the product or service, the happier you’re able to keep your customers.

Cognitive automation also improves business quality by making processes more efficient. CSPs must rethink their network and continuously improve their Network Operations efficiency. With big data solutions enabling the data processing capacity required to unleash the potential of Artificial Intelligence and Machine Learning technologies, the Cognitive Automation of Network Operations is proving to be the way to go.