Artificial Iitelligence process automation and Process robotics

electrical artificial intelligence
artificial intelligence neural network

If you have a product or service that has a high level of manual labor, intelligent process automation may be the perfect solution. It uses artificial intelligence and robotic process automation to extract data from documents and convert it into machine-readable characters. In addition, it can be used together with AI or RPA to automate processes where human interaction is necessary. Another way to use smart technology is through the use of a digital twin, which is a virtual replica of a product or service. The digital twin can be used to test and validate the effects of automated processes.

Robotic Process Automation (RPA) is developed to mechanize routine and repetitive tasks; while Intelligent Process Automation (IPA) has the capability to mechanize non-routine tasks.

Simply put, RPA uses technology to configure computer software to process transactions, manipulate data, trigger responses and communicate with other applications, programs and systems.

What else can we know about RPA?

RPA is ideal for tasks, processes and workflows that have predictable and repeatable interactions with other applications.

The term RPA dates back to the early 2000s, when IT teams began experimenting with basic automation, using software commands that followed scheduled processes to perform tasks in a single IT application.

RPA technology then took this to the next level through the creation of scripts across multiple applications.

What is Intelligent Process Automation IPA?

La progresión natural siguiente entre la automatización robótica y la inteligente ha introducido el aprendizaje automático y la inteligencia artificial en la mezcla. En contraste a RPA, que está desarrollado para mecanizar labores rutinarias y repetitivas, mientras que la automatización inteligente  de procesos tiene la capacidad de mecanizar labores no rutinarias.

La automatización inteligente puede aun abordar procesos que requieren juicio, inventiva, persuasión y resolución de inconvenientes, todas y cada una habilidades que previamente requerían la intervención del ser humano.

Esto quiere decir que cuando lo combina con la tecnología RPA, puede aprovechar el poder de la automatización para optimizar tanto los procesos rutinarios como los enormemente complejos y los flujos de trabajo, reinventando de qué forma podrían marchar las cosas y creando una organización inteligente y autónoma.

Es esencial decir que la automatización inteligente no se trata de sustituir a los humanos.

Advantages

  • By delegating routine administrative tasks to automation, workplaces become environments where everyone promotes innovative thinking, rather than being the exclusive domain of leaders.
  • Products can be ordered and processed for delivery and stock levels can be adjusted without an employee having to do anything.
  • Allows companies to automate appointment scheduling and create a model self-service.
  • It also allows organizations to deliver data in real time without human involvement.

Any process can be automated

Scholars say automation will be essential to business strategy and operations, driving new standards of service customer experience, such as deeper personalization, higher quality, faster delivery and greater convenience.

Intelligent automation will extend to each and every industrial field.

The big question for , what are the implications for your business? with this implementation, you can turn your business around, allowing you to improve rather than subsist.

Automation improves the overall employee experience by eliminating tedious tasks.

You can manage any number of processes, from the simplest to the most complex.

RPA robots can mimic the actions of human users, such as clicking on links, performing calculations, moving files and folders, copying and pasting data, filling out forms, reading, composing and extracting data, and so on.

It can mechanize applications such as data entry, card activation, fraud claim discovery, report automation and data migration.

Intelligent automation examples

  • In insurance, intelligent process automation can be used to classify new claims and route them to the corresponding SME. This helps increase the accuracy of claims processing and improve customer satisfaction. In addition to claims processing, intelligent process automation can also help companies gather accurate loss reports. Unfortunately, collecting these reports is cumbersome and often error-prone. In these cases, intelligent process automation is the perfect solution. Helps insurance providers and their clients save time and money by automating routine tasks.
  • This is particularly useful for the pharmaceutical industry , where greater data accessibility allows for improved safety and security. It also increases drug research and development. In addition, smart applications can be deployed on a large scale, and can also be used in healthcare settings.
  • For example, AI can help you to manage unstructured data. You can even provision resources, and you can learn from the experience. Once you have mastered a task, you can adapt to the specific needs of your company and the individual client.
  • When it comes to Re-imagining the organizational processes of any company, the automation of intelligent processes is the best option. It allows you to combine AI and robotics in one platform to manage all components individually. Then intelligent process automation can be applied to the entire business. By identifying the critical conditions of a patient, the system will automatically automate the processes. The next time you need to automate a task, the system should work with your requirements.
  • Another example of intelligent automation is the development of driverless cars . These cars are already being tested on public roads. IBM Watson, a research-focused artificial intelligence, can analyze massive amounts of text and answer complex questions faster than human operators. The benefits of intelligent automation are numerous. From presenting information to web visitors to detecting fraudulent credit card transactions, intelligent automation is becoming an essential part of everyday life. These systems can help companies increase productivity, increase profitability and reduce human error.
  • Intelligent automation can improve the efficiency of average companies and large corporations. Some of these technologies include conversational AI, robotics, and AI-powered chatbots. The latter includes AI-based bots that understand human language. Similarly, intelligent automation can also improve business processes. A common example of this technology is a smartroomba robot vacuum cleaner. Your smart assistant can learn your home layout and preferences, while a digital logistics agent can help customers reschedule deliveries.

Conclusion

Automation of both RPA and IPA is going to be essential to business strategy and operations, driving new standards of service customer experience, such as deeper personalization, higher quality, faster delivery and greater convenience.

Implementing intelligent process automation requires the expansion of an IT department and the appropriate competencies. However, this is an excellent solution for companies that want to improve profitability while reducing risk. While it requires a significant investment, the benefits are well worth it. The cost of implementation depends on whether you want to implement intelligent automation or not. The cost of a new system can be high, but if used correctly, it can save money in the long run.

What are you waiting for to take your company to success?