Ever since the emergence of the COVID-19 pandemic, traditional methods of maintaining and operating business processes are experiencing a paradigm shift. The previous edifice of back-office operations is being dismantled to build more innovative concepts, made feasible by the advent of disruptive technologies and artificial intelligence (AI). With the integration of AI and existing technologies combined, businesses are ensured in agility, efficiency, scalability, and tremendous expense reduction.
This revolutionary step-up encourages to considerably simplify the business operation while offering simplicity in integrating multiple complex processes, which are in demand today. With the adoption of intelligent automation technologies, businesses can remodel existing business processes, hence not only attaining higher agility and accuracy but also automating predictions and judgments based on structured and unstructured data.
Table of Contents
What is Intelligent Automation?
Artificial Intelligence (AI) is the technology that presents a computer with the ability to think and take actions based on its own decisions. AI empowers computers and intelligent machines to understand, analyze and adapt by leveraging the given algorithm. As technologies are becoming more integrated and complex, the need for Artificial Intelligence is increasing thanks to its capability to resolve complicated predicaments with limited human intervention. This expertise to solve complex tasks with little to less human interference is called Intelligent Automation (IA).
In other words, we can say that intelligent automation (IA) or cognitive automation, is the application of different automation technologies, mainly AI to streamline and scale decision-making within an enterprise. Intelligent automation (IA) helps in simplifying business operation, frees up manual resources, increases test efficiency, and enhances operational competencies. One of the most significant advantages of IA is that it can be used in a variety of applications across the entire organization. For example, industries can leverage IA to expedite production or decrease human error. Testers can utilize automation testing to test products or applications at a much faster rate with better accuracy.
How Can Enterprises Enhance Business Automation By Leveraging Artificial Intelligence (AI)
Enterprises can leverage Artificial Intelligence-based automation across multiple domains to automate monotonous or tedious everyday tasks. Automation has grown to be one of the most leveraged technologies across various domains. Its platform-independent nature and seamless integration of technology have made it a pinnacle in digital transformation. Here are some of the significant ways in which a business can increase efficiency with the innovative combination of AI and automation:
Preventing Fraud:
An intelligent automated system will be efficient in preventing cyber-attacks by quickly recognizing unusual behavior from the user. Since the system can be programmed to identify malicious activities, smart bots will continuously crawl through the application in order to detect threats. These smart bots can analyze threats with much more accuracy than human beings and send immediate alerts if compromised.
Brand Management:
Brand management can be made seamless by automating the task and adopting predictive analytic strategies. Brands struggle to completely understand the customers’ opinions or demands. Analyzing previous purchases and coming to a conclusion can be very much time-consuming and expensive for larger brands. With the help of automation, brands will be able to not only analyze historical data but also customer trends from all over the internet. This analysis can be carried out continuously and stored in the cloud storage which can help brands reinvent their existing strategies.
Customer Service:
One of the best examples of intelligent automation is smart chatbots for customer services. Ever since the COVID-19 pandemic and work-from-home situation, chatbots have been popular among website visitors. Intelligent AI-based chatbots are virtual assistants that can recognize human input on a contextual basis and then react to it accordingly. These smart chatbots can automate customer service, respond precisely to sales inquiries, and even understand customer emotions with sentiment analysis.
Software Testing and Development:
Leveraging huge test infrastructure, multiple Q&A analysts and expensive labs are quite challenging for some enterprises. With Automation testing, enterprises will not have to spend anything on all of this. They can complete the entire test cycle on an automation platform. These AI-based automation testing platforms provide necessary testing tools, auto-generate test scripts, traffic generators, and everything else needed for testing. Therefore it is much more affordable than the normal manual testing scenario and will require very little human intervention. Testing platforms can be rented or leased from cloud service models and enterprises will only have to pay for the resources they use and not a penny more.
Human Resource Management:
Human Resource (HR) personnel will always find it challenging to sort through the thousands of resumes they get during the hiring process. With the help of intelligent automation, HR will be able to analyze the potential candidates in a matter of seconds. By uploading the resume into an automation platform, HR can leverage automated bots that scan through each document seamlessly.
Conclusion
The year 2020 happened to be a breakout year for intelligent automation across every domain. Businesses have targeted several opportunities in the work environment for task-based automation and will eventually include more advanced analytical and AI services as part of their solutions. Successful exploitation of the possibilities will require organizations to develop a clear path to scalability that delivers quantifiable results and return on investment. Enterprises that continuously operate routine tasks or constantly engage in customer services are most likely to benefit from intelligent automation (IA). Likewise, those enterprises that harness the skills to redesign workflows and enhance the capabilities needed to develop intelligent automation will be better placed to take advantage of the opportunities.
