
Artificial Intelligence
The use of technology to minimize human input in technology applications has been a major guiding principle in the evolution of the digital world since 2005. Today, automation has a wide range of applications in different industries that aid in cost reduction, optimization of resources, and higher technical success in projects. Business Process Management (BPM), Business Process Administration (BPA), and Robotic Process Automation (RPA) are some instances of basic automation.
Automation has developed differently across industries, and therefore we have various types, namely, integration automation, process automation, and Artificial Intelligence (AI) automation. Basic automation can refer to digitalizing rudimentary tasks in an effort to streamline and centralize operations. Process automation increases the productivity and transparency of business processes, while integrated automation helps build machines with a specific skill set to accomplish predetermined tasks. They can also learn how to collaborate with people and teams.
According to a McKinsey report, there has been a 46 per cent jump in business practice automation across industries between 2018 and 2020 as the global automation software market size reached USD 19.9 billion by 2021. Automation in businesses boosts revenues as it directly improves customer satisfaction. Business process automation gradually eliminates human intervention in routine tasks, enabling employees to focus more on other developmental areas of the field.
Automation also fills gaps in revenue arising from lost productivity or an imbalance in resource distribution by gradual optimization of these processes. These improvements percolate to every part of the organization, and the result is a smart work culture characterized by the minimization of errors and consistent maintenance of standard work procedures. Workforce and customer satisfaction provide a balanced perspective to business strategies, making automation the key factor of development.
Online courses on automation provide end-to-end knowledge of all the automation frameworks applicable to different industries. To automate traditional production models, you will need strong business acumen alongside technical skills such as code development expertise. A certified online automation course should comprise detailed lessons on the following topics:
According to Gartner, by 2023, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%. This breeds opportunities in several sectors to develop intelligent workflows and streamline operations. Here are some of the lucrative professions you can join after studying automation:
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