Smart automation has the potential to transform today’s digital environment with very little human interference and more precise work capability.

This is because fundamental skills that are linked to business processing, technology integration, and data analytics—could be delivered through smart automation at a much lower cost and faster time.

Enterprises that have implemented efficient digital transformation are those with a precise concept, strategy, and approach in leveraging value from these smart automation.

They have considered automation as an enterprise-wide challenge and have integrated the advanced capabilities required to overcome these challenges.

By combining remarkable advancements in robotics, with groundbreaking technologies like Artificial Intelligence and Machine Learning, enterprises can augment their workforce and broaden the scope of business operations that can be performed.

This combination is capable of not only handling routine and repetitive work but can also handle advanced tasks that are engaged with delivering insights to provide qualitatively higher value addition to decision-makers.

What Is Intelligent Automation (IA)?

Intelligent automation (IA), also known as cognitive automation, is the combination of automation technologies such as robotic process automation (RPA) and business process management (BPM) with technologies such as artificial intelligence (AI), and Machine Learning (ML).

This combination is not only capable of streamlining and scaling decision-making across organizations but can also simplify the process, free up resources and enhance operational efficiency.

Intelligent automation (IA) enables enterprises with high-level smart technologies and agile processes for more agile, creative decisions.

Some of the key benefits of intelligent automation (IA) in everyday business include:

  • Improving process efficiency
  • Enhancing customer experience
  • Optimizing back-office processes
  • Decreasing expenses as well as uncertainties
  • Optimizing the workforce productivity
  • More precise and accurate monitoring
  • Fraud detection and error correction
  • Product and service innovation

Intelligent Automation (IA) Benefits

Intelligent automation platforms present several advantages across industries and domains. Here are some of the advantages of implementing Intelligent Automation (IA) in business operations.

Privacy and Security:

To power IA technology, a combination of predictive analysis tools and large volumes of quality data is needed.

Almost all of the application domains, in which IA is successful, have had the ability to access tons of data, such as the Google Assistant and Apple Siri.

With more data exposed in society and businesses, there is a higher chance that the data may be misused. For instance, to increase the accuracy of the healthcare system’s performance, lots of data, including patients’ sensitive information, are needed.

IA automation ensures that in such cases proficient task automation is met with no absolute threat to the data that are involved in the process.

Improves customer experience:

By leveraging Intelligent automation in development, the enterprises can provide better quality, more secure products to market faster which can enhance client satisfaction.

Even customers can get answers to inquiries faster from RPA bots, which also presents a positive experience for the customer, and thereby a competitive advantage for the company.

Workforce agility:

Intelligent automation is capable of adapting to customer demand or the changes in trends. Therefore, newer technologies can be added or removed from automation platforms, making them easier to work with.

This ability can be significant in guaranteeing efficient execution during peak demand and doesn’t adversely influence customer experience or workforce satisfaction.

Cost Reduction:

By leveraging intelligent automation (IA), enterprises can deliver significant cost reduction by automating most of the tasks that were previously employed for human workers to perform.

In fact, by using this technology, employee jobs can be reduced as bots can be tasked to do most of the work, this can significantly reduce overtime and extra payments included.

This enhancement in cost savings is realized due to the ability of intelligent automation to execute tasks efficiently, without taking breaks, and eventually boosting business efficiency.

Intelligent test automation:

It involves emulating human activities done by QA testers and learning from these activities to perform tests more efficiently and without any human intervention.

Thanks to advances and developments in cognitive technology and deep learning, test automation services are now capable of radically improving test performance, response times and reducing operational risks.

The Multiple Domains That Adopt intelligent automation

Intelligent automation In healthcare

Intelligent Automation-based applications can help improve patients’ and elders’ health conditions and the quality of their lives.

Prime applications of IA in health care include monitoring medicine, treating chronic illness, diagnosing diseases, and surgery support.

AI-based automation applications in the medical field have achieved many successes, including mining social media to infer health risks, machine learning to predict risky patients, and robotics to support surgery.

IA can also help in predicting and identifying patients who have the most urgent needs for palliative care. From symptom diagnoses to clinical decision support, algorithms that leverage AI & RPA have made headlines in terms of accuracy and speed.

Intelligent automation in Fintech

Unlike traditional finance systems that are based on manually set rules and analytics, Intelligent systems have shown to be more effective in detecting financial malfeasance concerning accuracy and completeness.

IA can help fight financial crimes, such as credit card fraud, anti-money laundering, and synthetic identity theft.

Financial Technology (FinTech) is developing as a transformative and vital initiative for the financial sector, and IA is the one platform that has enhanced Fintech dramatically.

Intelligent automation In unmanned operations

The use of AI in a hazardous environment is growing because intelligent machines and systems are reliable and practical, and are better able to perform dangerous and laborious tasks than humans.

Artificial Intelligence and robotics process automation bots are developed and used to make safer working environments in applications such as nuclear energy, deep mining, and deep-sea operations.

On one hand, robots are useful in situations where humans cannot be sent. On the other hand, AI can send quick and more accurate warnings. With the help of robotics, human laborers can be freed from harsh and unsafe conditions, such as super high temperatures and cold temperatures, extreme humidity, chemical risks, and nuclear radiation.

Conclusion

Intelligent Automation (IA) is not a single technology, but a consolidation of many innovative tools and technologies.

From machine learning to robotics, to natural language processing and the Internet of Things, AI plays an important role in the modern technology world and has merged into our daily life.

IA, in conjunction with other technologies, has the potential to address some of the biggest challenges that society faces.

Intelligent Automation has enormous potential in business, manufacturing, healthcare, education, the government, and many other areas. Numerous innovations have been developed using AI-RPA based technology, such as facial recognition and self-driving cars.

These applications require AI systems to interact with RPA bots in the real world and to make automatic decisions. Companies have realized that the key to business success is subjected to machine learning, artificial intelligence, and automation. Soon, the companies will be fully equipped with these start systems and would completely change the traditional systems by yielding significant benefits.

Author

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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