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HomeMachine LearningWhy Artificial Intelligence (AI) is Important in Hyperautomation

Why Artificial Intelligence (AI) is Important in Hyperautomation

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Ever since the COVID-19 pandemic, enterprises have witnessed some of the significant digital transformations that motivated them to reconsider daily operations. It has moreover urged them to re-invent their methods of operating to modify and grow with the uncertain times and trends. Kindled by technological innovation and exercising steady actions towards developmental adaptations, enterprises have created methodical changes across various domains. The automation strategy has brought forth the rise of Artificial Intelligence (AI) and Machine Learning (ML) and has accelerated industries’ growth like never before.

What Is Hyperautomation

Hyperautomation introduces the incorporation of parallel sets of tools that can combine practical and process silos to automate and expand business operations. Hyperautomation brings together various elements of smart process automation. Such as collaboration tools and technologies that expand their capability to automate enterprise operations. It starts with Robotic Process Automation (RPA) at its core and extends the automation boundary with Artificial Intelligence, Data Mining, analytics, and other progressive tools.

The integration of these innovative technologies facilitates end-to-end process redesign, automation, and monitoring. It also emits a higher significance and influence than traditional technologies. Hyperautomation presents numerous advantages over other automation technologies.

These advantages include:

  1. Automating processes at a much faster rate
  2. Practicing excellent analytics
  3. Granting increased employee satisfaction and motivation
  4. Assigning a workforce for value-added tasks
  5. Providing precise insights that guarantee improved compliance and reduced risk
  6. Enabling greater productivity and increased team collaboration.

What are the benefits of Hyperautomation?

Using a smart automation platform, equipped with progressions in artificial intelligence technologies, advances enterprise performance by connecting resources. It further connects processes and technologies as well to achieve Hyperautomation. This enhanced connectivity and automation create synergies between resources and the virtual world. It implies that you can manage your outcomes, enhance your people and accelerate automation. This application of hyper-automation delivers results with very little human intervention. It is also capable of mitigating manual errors and risk while enhancing efficiency as well as profitability.

Accelerating Complex Work

Hyperautomation presents a high-speed route to helping employees in mitigating the workload of a business. Supported by automation technologies, complicated and monotonous tasks can now become automated. This automation of complex tasks reduces the burden on human employees and enhances their productivity.

Deploying Digital Workers

Enhancing Robot Process Automation (RPA) with intelligence helps build a smart Digital Workforce. The smart workforce can take care of repetitive or monotonous tasks to augment employee performance. They are the working bots or can also be called agents of hyper-automation. Powerful enough to be integrated with various business solutions, function with both structured and unstructured data. These bots are also capable of interpreting data and can reach conclusions, or even create algorithms of their own.

Hyperautomation In Testing

Hyperautomation in testing or test automation services would significantly enhance the traditional testing methods, thus improving product quality. The major benefit here with Hyperautomation is that it not only improves quality but also reduces time to market for applications. With hyperautomation based testing, the complete IT life cycle can be automated with minimal human intervention. Previously the testing phase in QA was restricted to the test accomplishment process. This process also required a notable quantity of human interference during the cycle. QA team is restricted to producing a strategy to automate requirement analysis, incapable of approaching the ultimate reporting layer.

Hyperautomation on the other hand supports eliminating that restriction. The purpose of hyper automation-based testing is to completely overcome manual intervention as much as an enterprise can. Therefore in testing, automation goes beyond the usual automating monotonous responsibilities. It automates the complete decision-making method using high-level technologies like RPA, Machine learning, Business Process Automation, and AI.

Benefits of Artificial Intelligence (AI) in Hyperautomation

Artificial Intelligence (AI) is what distinguishes smart automation from traditional automation strategies—making RPA+AI the important element of hyperautomation. By automating and standardizing previously unattainable data and processes, hyperautomation allows unique benefits, such as:

Flexibility

Since hyperautomation depends on the abundance of automation technologies, enterprises can advance beyond the inadequate benefits of individual digital technology. This encourages enterprises to obtain scale and adaptability in operations.

Improved employee productivity

By automating monotonous, time-consuming and tedious work, the staff can get more responsibilities accomplished with fewer resources. Therefore the employees can undertake other valuable roles in organizations.

Integration

With hyperautomation, enterprises can combine digital technologies across their operations as well as with their existing legacy systems. Companies and employees have more reliable access to data and can interact seamlessly everywhere in the organization.

Improved ROI

Hyperautomation enhances income and decreases costs. With robust analytical tools and abilities, enterprises can optimize the deployment of their sources.

Conclusion

The potential of intelligent hyperautomation comes to the fore when Robot Process Automation (RPA) couples with artificial intelligence and machine learning. Together, it facilitates applications that go beyond the routine to the innovative. These automated applications are capable of gathering and preparing data to analyze and present contextual judgments. The possibilities of hyperautomation are enormous for industries and enterprises alike. Predicaments that could only be solved using human interventions are now being solved with just automation. As the advancements in various technologies ended up integrating with each other to develop hyperautomation, enterprises all around the globe look forward to comparable combinations in the near future.

Nonetheless, with the technological skills currently possible with hyperautomation, enterprises have the ability to completely change their fundamental business operations. Acknowledging the developing characteristics of the business ecosystem and the ongoing COVID-19 pandemic, embracing automation has become essential than ever before.

Author Bio:

Ricky-Philip

Ricky Philip is an industry expert and a professional writer working at ThinkPalm Technologies. He works with a focus on understanding the implications of new technologies such as artificial intelligence, big data, SDN/NFV, cloud analytics, and Internet of Things (IoT) services. He is also a contributor to several prominent online publishing platforms such as DZone, HubSpot and Hackernoon.

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