Top 10 Intelligent Automation Trends to Look Out for in 2023

Top 10 Intelligent Automation Trends to Look Out for in 2023
Top 10 Intelligent Automation Trends to Look Out for in 2023

Intelligent automation, also known as cognitive automation is basically a combination of next-gen technologies like artificial intelligence, business process management, and robotic process automation. Besides these, intelligent automation also leverages technologies like analytics, machine learning, deep learning and natural language processing. Combining these technologies together has enabled intelligent automation to deliver some of the most advanced solutions that modern business leaders are using. Intelligent automation is quite different from other forms of automation, but the growing technology is making big waves and has definitely the potential to make the most significant impact on the organizations’ growth and development cycle.

The present intelligent automation trends are being extensively used by businesses to produce and process vast amounts of data, automate end-to-end operations, and make tasks faster and more efficient. Here, we have enlisted the top intelligent automation trends that you can look out for in 2023.

Widespread adoption of RPA across industries

RPA has recently gained dramatic popularity as it enabled software bots to replicate human actions and perform tasks more effectively. The rising adoption of RPA across industries like insurance, banking, finance and healthcare has triggered enhanced operational efficiency, reduced time-to-market, and ensured high security. Hence, the usage of RPA is one of the most significant components of intelligent automation that is expected to rise in 2023.

Rising significance of low-code/no-code platforms

The low-code and no-code automation has been gaining traction in recent years. These platforms are basically software programs that require little to no coding experience, so the rising importance of coding, both in tech and non-tech businesses will eventually lead them to the increased popularity of low and no-code platforms.

Mainstream adoption of Generative AI

Generative AI is basically based on AI algorithms and machine learning methods that learn from existing data such as text, audio files, and images, and create completely new and original content. Generative AI can be used for various purposes such as making software codes, processing images, facilitating drug development, and speeding up organizational growth and development.

Rise of collaborative robots

Collaborative robots are also known as cohorts that are directed to interact with humans in a shared professional environment. Starting from lifting heavy weights in warehouses to intelligently removing assembly lines, these bots are efficiently handling all small and large-sized companies. In 2023, it is expected that the adoption rate of these robots will significantly increase across industries.

DevOps CI/CD automation will be ruled by constant testing

Almost every other business needs to adopt DevOps since it enabled continuous integration and delivery of high-quality software to customers. Testing is extremely important for DevOps CI/CD, and the continuous automated testing of the software at each stage of development will be done through IA tools. Continuous automated testing basically enhances the quality of the developed software and fixes all problems before its immediate release.

Growing impact of augmented intelligence

Augmented intelligence is expected to rise in the coming months. It basically involves robots and humans working together to improve cognitive performance. Platforms that utilize augmented intelligence can efficiently collect all sorts of data, both structured and unstructured.

Rising adoption of NLP technology and conversational AI

Intelligent automation focuses on a plethora of technologies with robotic process automation being the center. Intelligent automation leaders are speculated to widen their horizon of IA utility and include NLP and conversational AI tools. The benefits of NLP and conversational AI are opening up a wide array of opportunities.

Faster adoption of intelligent automation in SMBs

An increasing number of SMBs are getting interested in adopting digital technologies, with the most prominent use case being process optimization. With more affordable automation options available in the market, SMBs can now avail these options to reduce costs, improve customer service and improve competitiveness.

IA to support staff shortages

Trends like the ‘Great Resignation’ has become incredibly popular in the corporate sector. Hence, large, medium, and small businesses have used the opportunity to launch or scale their automation programs, reducing hiring costs, and improving process efficiencies. And with hybrid working environments in place, automated workplace tools might be the best way to accelerate organizational growth and development.

Sustainable automation through process assessment and discovery

Companies are adopting and scaling IA to efficiently handle employees and processes. Process discovery and assessment frameworks offer actional insights to make informed decisions, prioritize processes and create an automated production pipeline. Now adopting automation in a sustainable manner will eventually help promote increased efficiency and advancement.

About The Author

Sayantani Sanyal is a writer for Analytics Insight.

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