Today, the business world demands faster, more efficient and more accurate management of processes. Therefore, businesses cannot afford to postpone using innovation to improve efficiency and solve problems. It is at this point that we encounter “Intelligent Process Automation”, IPA in short. Smart Process Automation refers to an approach that takes advantage of the powerful advantages of technology to make business processes smarter and more effective.
This technological breakthrough improves businesses’ ability to cope with embedding repetitive tasks and making decisions among complex data. So how does he do this? IPA focuses on emerging technologies such as artificial intelligence, machine learning, data analytics, cognitive automation, and computer vision and applies them to Robotic Process Automation (RPA). The combination of these technologies gives businesses more power to automate business processes, increase efficiency, and gain competitive advantage. Read the blog to learn how the combination of RPA and AI is revolutionizing the business world by tackling challenges in business operations, from data entry to decision support systems.
What is IPA?
IPA is also known as intelligent automation, digital process automation or hyper-automation. It combines robotic process automation, process mining, data analytics and artificial intelligence to automate, streamline, and make business processes more efficient. In this way, IPA creates business process automation that learns and adapts autonomously, increasing the efficiency of the work done.
What is the main purpose of IPA?
The purpose of Intelligent Process Automation is to automate processes with unstructured data such as text and images. It allows employees to do more efficient work in different areas by leaving the responsibility of routine and repetitive tasks to automation.
What are the Technologies Used in Smart Process Automation?
There are four basic technologies used in the development of IPA. These technologies are as follows:
RPA (Robotic Process Automation)
RPA automates rule-based repetitive tasks that occur manually.
AI (Artificial Intelligence)
Artificial intelligence consists of systems that can perform tasks such as logic, decision-making, reasoning and learning that require human intelligence. Artificial intelligence is much faster than humans at things like analyzing data, identifying patterns and learning from past elections.
ML (Machine Learning)
ML is a process used to find patterns in structured, historical data and make predictions and decisions based on these patterns. In other words, it enables computers to learn from data and develop algorithms that enable predictions.
NLP (Natural Language Processing)
It is a branch of artificial intelligence that allows computers to understand, interpret and create human language, allowing interaction with text and speech data.
DPA (Digital Process Automation)
DPA is a type of software that automates tasks to complete and optimize a workflow. It automates tasks that require human interaction.
RPA vs IPA: What’s the Difference?
Intelligent Process Automation and Robotic Process Automation are similar, but there are significant differences between them. RPA uses software bots to replace routine and manual tasks with automated workflows. IPA has a wider scope of work than RPA. In other words, it takes the capabilities of RPA one step further. The most important difference of IPA is that it uses cognitive technologies such as AI, machine learning, and natural language processing to implement business process automation across the entire organization. Also, the types of data formats that IPA can process are much wider than RPA. Therefore, IPA is an ideal intelligent automation solution for more complex tasks.
To learn more about RPA, see “What is Robotic Automation (RPA)?” You can read our wiki post called.
Benefits of Intelligent Process Automation (IPA)
IPA offers many advantages to business:
- It automates tasks that were previously done manually and routinely repeated.
- IPA automates routinely repetitive tasks that were previously done manually by employees.
- Automates larger sections of operational work.
- Scales automation used by users more easily and quickly.
- Automatically detects objects on a screen and uses technologies such as NLP. Thus, it enables the automation of complex tasks.
- It enables businesses to better understand unstructured data.
- Reduces data processing errors.
- Ensures harmony of work between people and software systems.
- Increases efficiency by eliminating manual tasks on employees.
- Provides end-to-end visibility into processes and customer journeys.
- Reduces processing time.
- Reduces costs.
Intelligent Process Automation Usage Areas
IPA can be applied according to the needs of different sectors and departments. For example, there are many use cases such as evaluating loan applications in the finance sector, creating automatic responses in customer services, and optimizing recruitment processes in human resources management. This technology can be flexibly adapted to suit the customized needs of organizations.
With IPA, businesses can;
- Interpret texts with NLP (natural language processing).
- Monitor systems.
- Make special recommendations to their customers with cognitive agents.
MIP is an iPaaS that allows businesses to automate workflows, optimize data integration and streamline business processes. With usemip’s user-friendly interface, you can create integrations that suit your company’s unique business needs and automate your business processes.
You can contact us for more information.