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10 Intelligent Automation Trends to watch in 2023
Articles

10 Intelligent Automation Trends to watch in 2023

The concept of intelligent automation is also known as cognitive automation, which combines artificial intelligence, business process management, and robotic process automation technologies. In addition to these technologies, intelligent automation uses analytics, machine learning, deep learning, and natural language processing.

Modern business leaders are utilising some of the most advanced solutions possible through the combination of these technologies.

The growing technology of intelligent automation is quite different from other forms of automation, but it is making big waves and has a huge potential for impacting the growth and development of organisations.

In 2023, you can expect the following smart automation trends.

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1. The adoption of RPA in a wide range of industries

As a result of RPA's ability to replicate human actions and perform tasks more efficiently, the technology has gained dramatic popularity. Increasing adoption of RPA in industries such as insurance, banking, finance, and healthcare has enhanced operational efficiency, reduced time-to-market, and increased security. As a result, RPA will be a major component of intelligent automation in 2023.

2. Low-code/no-code platforms are becoming increasingly important

Automating with low-code and no-code has gained popularity in recent years. Since these platforms are basically software programs that don't require any coding experience, they will eventually become more popular as coding becomes more important, both in tech and non-tech businesses.

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3. Robotic collaboration on the rise

The term 'collaborative robot' refers to robotic units directed at interacting with humans in a shared work environment. Small and large companies alike use these bots to lift heavy objects in warehouses and remove assembly lines intelligently. It is projected that in 2023, these robots will be widely adopted across industries.

4. Generative AI is becoming a mainstream technology

Generative AI involves using machine learning algorithms and AI algorithms to generate new and original content from existing data, such as photos, audio files, and texts. The use of generative AI can be used to create software codes, process images, facilitate drug development, and speed up organisational growth.

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5. Augmented intelligence has become increasingly important

The goal is to improve cognitive performance by combining robots and humans. With the help of augmented intelligence, platforms can efficiently gather both structured and unstructured data.

6. A faster adoption of intelligent automation in small and medium-sized businesses

In recent years, SMBs have begun adopting digital technologies, mainly for process optimisation. Small and medium-sized businesses can now reduce costs, improve customer service, and become more competitive with more affordable automation options available in the market.

7. DevOps automation will be driven by continuous testing

In order to deliver high-quality software to customers, almost every other business needs to employ DevOps. Testing is crucial for DevOps CI/CD, and through IA tools, continuous automated testing will be performed at each stage of development. Before releasing software to the public, continuous automated testing enhances its quality and fixes all problems.

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8. The adoption of NLP** and conversational AI is on the rise

The focus of intelligent automation is robotic process automation, which encompasses a wide range of technologies. Leaders in intelligent automation may expand their horizons of automation utility to include NLP and conversational AI tools. A wide range of opportunities are being opened up by NLP and conversational AI.

**natural language processing

9. Staff shortages are being met with IA

The 'Great Resignation' has become increasingly popular in the corporate world. As a result, large, medium, and small companies have adapted automation programs to reduce hiring costs and improve process efficiency. Hybrid working environments may allow organisations to achieve greater growth and development using automated workplace tools.

10. Automating processes in a sustainable way through assessment and discovery

Companies are adopting and scaling IA to handle employees and processes more efficiently. The creation of automated production pipelines and process discovery frameworks can help you make better decisions, prioritise processes, and find actionable insights. Automating in a sustainable way can help advance efficiency and advancement in the future.

Stephen Maclean is the CEO and founder of Seers Digital, he is passionate thought leader of Emerging Technology. Seers Digital drives IT modernisation in the Public and Private Sector.

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