It is the use of a combination of tools, including advanced artificial intelligence (AI) and machine learning algorithms, to automate a wide range of business processes and tasks. This involves integrating and coordinating various technologies, such as robotic process automation (RPA), natural language processing (NLP), and business process management (BPM), to automate complex and high-volume tasks across multiple systems and processes. The goal of hyper-automation is to enable businesses to streamline operations, improve efficiency, and increase productivity.

1. Identify tasks and processes that can be automated and the potential benefits of doing so.
2. Choose the appropriate tools and technologies for the automation, such as robotic process automation (RPA) or machine learning algorithms.
3. Design and implement the automation process, ensuring that it is efficient and effective.
4. Monitor and adjust the automation process as needed, incorporating feedback and data to improve its performance.
5. Continuously evaluate the automation process and identify additional opportunities for improvement or expansion.

1. Robotic Process Automation (RPA) software: This type of software allows businesses to automate repetitive, rule-based tasks such as data entry, paperwork, and customer service interactions.
2. Artificial Intelligence (AI) and Machine Learning (ML) algorithms: These algorithms can help automate decision-making processes, allowing businesses to make more informed decisions and streamline processes.
3. Process mining tools: These tools help businesses identify and analyse inefficiencies in their processes, allowing them to identify areas where automation can be implemented.
4. Business Process Management (BPM) software: This type of software helps businesses design, model, and monitor their processes, making it easier to implement automation solutions.
5. Data integration and management tools: These tools help businesses collect, store, and manage data from multiple sources, allowing for more accurate and efficient automation processes.

The future of hyper-automation is expected to be characterised by increased adoption and integration of technologies such as artificial intelligence, machine learning, and robotic process automation. This will lead to more efficient and effective business processes, improved decision-making, and enhanced customer experiences.

As organisations continue to invest in hyper-automation, there will also be a shift towards using it for strategic decision-making and driving business growth. This will involve leveraging data and analytics to identify opportunities for automation and using hyper-automation to automate repetitive tasks and processes across the organisation.

• The low code BPM tool will be easy to use and require minimal technical skills to set up and use
• The tool will have a user-friendly interface and intuitive drag-and-drop capabilities for creating and managing processes
• The tool will allow for quick and seamless integration with other systems and data sources

• The low code BPM tool may require some level of technical expertise to set up and configure, depending on the complexity of the processes being managed
• The user interface may not be as intuitive as expected and may require some time and training to become proficient in using the tool

Integration with other systems and data sources may not be as seamless as expected and may require additional time and effort to set up and manage

It is unlikely that a low code BPM tool will ever rule the world. While low code BPM tools can provide a faster and easier way to create and manage business processes, they are still limited in scope and capabilities compared to traditional programming languages. Additionally, the world is constantly evolving and there will always be a need for more complex and specialised software solutions.

One potential direction for the next big thing in low code BPM tools is the integration of artificial intelligence and machine learning capabilities. This would allow for more advanced process automation and optimization, as well as the ability to predict and adapt to changing business needs. Additionally, incorporating collaborative features and seamless integration with other business systems and tools would further enhance the user experience and productivity.

Industry Revolution 4.0 is the fourth industrial revolution, which is characterised by the integration of digital technologies such as artificial intelligence, the Internet of Things, and automation into various industries. This revolution is expected to bring about significant changes in the way businesses operate, leading to increased efficiency, productivity, and competitiveness.