Top 10 Intelligent Automation Trends to Watch in 2023

Intelligent automation, also known as cognitive automation, is basically a combination of next-generation technologies such as artificial intelligence, business process management, and robotic process automation. In addition to this, intelligent automation also leverages technologies such as data analytics, machine learning, deep learning, and natural language processing. Combining these technologies allows intelligent automation to deliver some of the most advanced solutions that business leaders are using.

Intelligent automation is completely different from other forms of automation. The evolving technology is making waves and can have the most significant impact on the growth and development cycle of enterprises. The current trend of intelligent automation is being widely used by enterprises to produce and process large amounts of data, automating end-to-end operations and making tasks faster and more efficient.

# Listed below are the top intelligent automation trends to watch in 2023.

1. Widespread adoption of RPA across industries

RPA has gained significant popularity recently as it enables software robots to replicate human behavior and Perform tasks more efficiently. Industries such as insurance, banking, finance, and healthcare are increasingly adopting RPA to improve operational efficiency, reduce time to market, and ensure high security. Therefore, the use of RPA is one of the most important components of intelligent automation and is expected to rise in 2023.

2. The rising importance of low-code/no-code platforms

In recent years, low-code and no-code automation have gained More and more attention. These platforms are basically software programs that require little to no coding experience, hence the increasing importance of coding in both technical and non-technical businesses, which will ultimately lead to the growing popularity of low-code and no-code platforms.

3. The mainstream adoption of generative artificial intelligence

Generative artificial intelligence is basically based on artificial intelligence algorithms and machine learning methods. Learn from existing data, such as text, audio files, and images, and create new, original content. Generative AI can be used for a variety of purposes, such as crafting software code, processing images, facilitating drug development, and accelerating corporate growth and development.

4. The Rise of Collaborative Robots

Collaborative robots are designed to interact with humans in a shared professional environment. From moving heavy items in warehouses to intelligently removing assembly lines, these robots are efficiently handling business for businesses of all sizes. The adoption of these robots is expected to increase significantly across industries by 2023.

5. DevOps CI/CD automation will be determined by continuous testing

Almost every other enterprise needs to adopt DevOps because it supports delivery to customers Continuously integrate and deliver high-quality software. Testing is extremely important for DevOps CI/CD. Continuous automated testing of software at each development stage will be completed through intelligent automation tools. Continuous automated testing basically improves the quality of the developed software and fixes all the issues before its immediate release.

6. The growing impact of augmented intelligence

Augmented intelligence is expected to increase in the coming months. It basically involves robots and humans working together to improve cognitive abilities. Platforms that leverage augmented intelligence can efficiently collect a variety of structured and unstructured data.

7. The increasing popularity of natural language processing technology and conversational artificial intelligence

Intelligent automation focuses on a large number of tasks centered on robotic process automation technology. Presumably, intelligent automation leaders will broaden the horizons of intelligent automation utilities to include natural language processing technology and conversational artificial intelligence tools. The benefits of natural language processing technology and conversational artificial intelligence are opening up a wide range of opportunities.

8. Faster adoption of intelligent automation in SMEs

More and more SMEs are becoming interested in adopting digital technologies. One of the most prominent use cases is process optimization. With more affordable automation options on the market, small and medium-sized businesses can now take advantage of these options to reduce costs, improve customer service, and become more competitive.

9. Intelligent Automation Alleviates Staffing Shortage Issues

Trends like the “resignation wave” are becoming very popular in the corporate world. As a result, businesses of all sizes have taken advantage of the opportunity to launch or expand their automation programs, reducing recruitment costs and making processes more efficient. With hybrid work environments in place, automated workplace tools may be the best way to accelerate business growth and development.

10. Sustainable automation through process assessment and discovery

Enterprises are adopting and scaling intelligent automation to handle processes efficiently. The process discovery and assessment framework provides actionable insights to make informed decisions, prioritize processes, and create automated production pipelines. Businesses adopting automation now in a sustainable manner will ultimately help increase efficiency and grow the business.

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