What is Hyperautomation?
According to Gartner’s “Top 10 Strategic Technology Trends for 2020”, hyperautomation took the first spot in his list of trends that he thinks would have an important role in the industry for the next five to ten years. Since it is on the trend lists, many are curious about what hyperautomation is and why it took first place on the list.
Automation in conjunction with artificial intelligence and machine learning, bots automate digital tasks and perform a high-volume of repeatable tasks that were made for humans’ life way easier and faster. In the evolution of technology, automation is the first step in recognizing hyperautomation.
By expanding the ability to automate work, hyperautomation uses some components of process automation, technologies, and integrating tools. Its key components include robotic process automation (RPA), business process management, artificial intelligence (AI), or machine learning (ML), and advanced analytics. Hyperautomation aims to relieve employees from time-consuming tasks that should be used for more productive tasks and make the most use of their time. It also helps different organizations to automate more complex work. According to Gartner, its focus is basically on improving the ability to deliver value and not on replacing the workers. According to some articles, its benefits include workforce enablement, accelerating complex works, employee upskilling, ROI, systems integration, digital agility.
To help you understand it more, here are some definitions of the key components of hyperautomation:
Robotic Process Automation (RPA) - uses software “bots”. In conjunction with artificial intelligence and machine learning these bots automate digital tasks and perform a high-volume of repeatable tasks. Tasks such as recording transactions, generating reports, form completions, and calculations. What makes RPA so good is that it can perform these repetitive tasks with minimal errors and its ability to adapt to different circumstances.
Business Process Management - it is an organizational discipline where companies predict processes that make up the core of their business by creating and analyzing its current state and pinpoint areas of improvement to create a more efficient and effective organization. It has been said that it is the foundation that makes automation strategy successful.
Artificial Intelligence - it is an imitation of human intelligence in machines that are programmed to perform traits associated with a human mind and imitate their actions. It represents a series of intelligent processes including machine learning. It is used in a wide variety of sectors and industries such as healthcare industries. It is also wired using different approaches such as linguistics, computer science, psychology, mathematics, and more.
Advanced Analytics - it examines data autonomously using different techniques and tools. Data mining, neural networks, machine learning, forecasting, pattern matching, multivariate statistics, visualization, semantic analysis, complex event processing, sentiment analysis, network, and cluster analysis, graph analysis, and simulation are some of the techniques included in this course.
About Formulated Automation: Our mission is to make the workplace a more meaningful environment for the entire workforce. We achieve this by automating robotic work. This frees up humans to do human work. If you find your company does the above, reach out, and let’s see if automation can deliver value to your organization.
