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  /  Analytics   /  Cognitive Automation is Adding Value to the Enterprise Industry
Cognitive automation, NLP, RPA, AI, Big Data

Cognitive Automation is Adding Value to the Enterprise Industry

Cognitive Automation can transform the Enterprise Industry with Structured Data

Cognitive automation is a subset of artificial intelligence (AI) that uses advanced technologies like natural language processing (NLP), emotion recognition, data mining, and cognitive reasoning to emulate human intelligence.

This highly advanced form of robotic process automation (RPA) gets its name from how it mimics human actions while humans are executing various tasks within a process, including learning, reasoning, and self-correction.

While traditional RPA supports automation based on structured data, cognitive RPA takes things a step forward by allowing organizations to automate processes that include unstructured data sources. These include scanning documents, emails, letters, and voice recordings. The real power of cognitive automation is that it enables enterprises to automate more complex, less rule-based tasks.

Cognitive RPA is adept at handling exceptions without human intervention, unlike traditional unattended RPA. For instance, most RPA solutions cannot resolve issues like date presented in the wrong format, missing information in a form, or slow response times on the network or Internet. In such a case, unattended RPA would usually hand the process to a human operator.

Cognitive Automation Enhances RPA Performance

Cognitive automation can improve data quality using NLP and text analytics to transform unstructured data into structured data. After that, an RPA system can use this data in automation processes.

Cognitive automation can automate decisions with the help of predictive analytics that can enable a robot to make judgment calls based on the situations that present themselves. A cognitive ability called machine learning (ML) can allow the system to learn, expand capacities, and continually enhance specific aspects of its functionality on its own.

Various organizations have already embraced AI-infused technology, cognitive automation capabilities, and across value chains, easing businesses break existing trade-offs between efficiency, expenditure, and speed. This extension of automation brings new opportunities and room for innovation, expanding digital transformation reach.

Followed are some applications of what cognitive automation is capable of doing today:

Cognitive Automation in Retail

Cognitive automation benefits the retail sector widely. However, the primary challenge faced by the retailers is harmonizing data between different stores. Data silos are easily created when disparate data sources are collected, stored, and managed differently as per the specific store’s management or operational procedures.

Cognitive automation is suitable to streamline data collection processes and exercise uniformity and consistency in business operations. Incoming data around the supply chain from product providers, partners, retailers, and consumers, consists of various formats such as emails, digital documents, and images. Artificial intelligence (AI) techniques applied to automation can extract the values and insights from these elements of unstructured data and churn them into new datasets essential for business decision-making.

Data associated with businesses can translate the knowledge into action plans such as improving inventory forecasts and supply chain management, automating customer-facing services, enhancing marketing campaigns.

Cognitive Automation in Healthcare

The healthcare sector deals with streams of unstructured data daily. Similar to how cognitive automation can boost efficiency in orchestrating enormous amounts of data from disparate locations in retail, it can gather and analyze medical data from multiple healthcare sources.

Medical data includes patient records, business reports, diagnostic tools, and others bear a wealth of knowledge. It is also challenging to decipher and requires medical professions to invest valuable time and resources to shift through the data. When, integrated with AI capabilities, it can derive meaningful findings in this aspect.

Cognitive Automation in Human Resources

As employee onboarding is an essential and repeated office process across all industries, it is a perfect testing ground for its benefits with predictable roles and procedures.

This new-age technology can automate the onboarding process by offering the necessary tools, access, and information employees need from the first day. For instance, cognitive automation can automatically create computer credentials like Slack logins, business email accounts, and enrolling new hires into departmental training and orientation processes. It can take a step forward by setting up meetings for new hires and managers, completing manual HR workload without room for human error or complexity.

Final Words

Cognitive automation is excellent for deriving meaningful conclusions from unstructured data. Many back-end and front office operations can be automated, enhancing efficiency to understand the industry requirements and feedback.

Cognitive automation solutions help enterprises adapt quickly and respond to new information and insights and play a crucial role in healthcare, converting unstructured data into structured data.

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