What Does 2022 have in Bag for Intelligent Automation?

Intelligent automation

In the next few years, intelligent automation applications are expected to skyrocket

Across industries, automation and artificial intelligence (AI) have transformed how firms operate. Businesses are continuing to implement AI technologies in their activities today in order to improve operating effectiveness and reap concrete benefits. Rapid technological and automation breakthroughs have resulted in the integration or collaboration of AI with automation, dubbed Intelligent Automation. AI and automation, combined with human intelligence, have resulted in this rapidly growing technology. It is currently widely employed across industries, and in the next few years, its use is likely to skyrocket.


Adoption of collaborative bots

Collaborative robots, often known as cobots, are robots that are designed to physically engage with people in a shared workspace. These cobots aid humans in smart factories by lifting large weights in warehouses and automatically removing obstructions from assembly lines. Unlike large robots, which take a lot of floor space and a lot of employees to programme and maintain, these bots are a huge aid to small enterprises. Industries are aggressively using robots to help manage labour shortages, automate repetitive activities, and maintain quality, among other things. Robot usage is predicted to skyrocket in the coming years across all industries.


Adoption of RPA across industries

RPA is a technology that allows software bots to accomplish tasks more efficiently by replicating human activities. Almost every business, including insurance, finance, banking, medicine, and telecommunications, uses this technology. RPA has proven to be extremely beneficial to enterprises in terms of increasing operational efficiency, decreasing time-to-market, and maintaining high security. As a result, RPA, which is one of the key components of IA, is projected to grow in popularity in the future years.


Gain traction in low code/no-code automation

The low-code/no-code automation movement is quickly gaining steam, and it’s only going to get bigger in the future years. Low-coden or no-code automation platforms are software systems that do not require coding knowledge. It comes with pre-designed workflow patterns and a drag-and-drop ui for building workflows that anyone may use without any prior understanding of back-end computer coding. Due to several benefits to organisations, such as shorter time to market, scalability, and self-service capability, these platforms are getting a lot of attention.


Generative AI to boom

Generative AI is also another cognitive automation technology that is gaining traction. Generative AI is built on AI algorithms and ML approaches that learn from existing data like text, audio files, and photographs to create entirely new and original material. Generative AI can be used for a range of tasks, including writing software, processing photos, assisting with medication development, improving customer service, accelerating check-ins, and targeted marketing. In the future, generative AI is projected to be used more frequently.


Hyperautomation to dominate

Hyperautomation is the use of modern technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to automate as many operations and IT procedures as possible. Hyperautomation is the paradigm of intelligent automation because it puts all modern technologies together under one roof and allows organisations to profit from all of them in real-time. Hyperautomation not only automates operations, but also the processing of any type of organised or unstructured content, which is extremely beneficial to enterprises. This trend is predicted to continue to have a positive impact on firms in the near future.


Autonomic systems to be leveraged more

Autonomic systems are self-managed systems that adapt from their surroundings, make decisions without external interference, and adapt to variations in the external environment autonomously. Self-configuration, self-healing, self-optimization, and self-protection are the four essential principles of an autonomic system. Large amounts of data and complex analysis solutions are expected to benefit from these self-managed systems. The autonomic platform market is likely to develop in the future years as it addresses the issues that businesses experience in managing data, making proper decisions, and dealing with unforeseen complexity in a dynamic world.

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