Intelligent Automation combines next-generation technologies such as AI, business processes management, and robotic process automation. Intelligent Automation uses machine learning, analytics, and natural language processing technologies, enabling some of the most innovative solutions for business leaders today. Although it is different from other forms of automation of the same technology, it is still an essential and powerful tool that can significantly impact an organization's growth and development.

Businesses are using the current intelligent automation trends extensively to process large amounts of data, automate all aspects of operations, and make their tasks more efficient and faster. Here are the top ten intelligent automation trends for 2023.

RPA is being widely adopted across all industries

RPA gained popularity because it allowed software bots to replicate human actions and perform more efficiently. RPA has been adopted in a variety of industries, including healthcare, banking, and finance, resulting in improved operational efficiency, reduced time to market, and higher security. RPA will continue to be a key component of Intelligent Automation throughout 2023.

Low-code/no-code platforms are more important

In recent years, automation on low-code or no-code platforms gained popularity. These platforms are software programs that do not require any coding knowledge. As a result, the increasing importance of coding in non-tech businesses and tech companies will increase the popularity of low-code and no-code platforms.

Generative AI is now mainstream

Generative AI relies on machine learning algorithms and AI algorithms that use existing data to create new content. Generative AI is useful for many purposes, including developing software codes and processing images, drug development, and accelerating organizational growth.

The rise of collaborative robots

Collaborative robots, also called cohorts, are designed to interact with human beings in a professional setting. These robots can efficiently handle all sizes of companies, large and small. They can lift heavy loads in warehouses or remove assembly lines intelligently. These robots are expected to be widely adopted in all interested industries by 2023.

Continuous testing will rule DevOps CI/CD Automation

Nearly every business must adopt DevOps as it allows continuous integration and delivers high-quality software to customers. Continuous automated testing will be performed using IA tools to ensure that the software is tested at every stage of development. Testing is crucial for DevOps CD/CI. Continuous automated testing improves the quality and resolves all issues before release.

Augmented intelligence is gaining in popularity

In the next few months, Augmented Intelligence is expected to grow in popularity. Augmented intelligence is robots and people working together to improve cognitive function. Augmented intelligence platforms can efficiently collect all kinds of data, structured and unstructured.

NLP technology adoption and conversational AI are on the rise

It is expected that intelligent automation leaders to expand their IA utility horizons to include NLP as well as conversational AI tools. NLP and conversational AI offer a variety of benefits.

Small and medium-sized businesses will adopt Intelligent Automation

SMBs are becoming more interested in digital technologies. Process optimization is the most popular use case. SMBs now have more options for automation, including the ability to lower costs, increase customer service, and improve their competitiveness.

IA will help with staff shortages

The 'Great Resignation" trend has been a massive hit in the corporate sector. Large, medium, and small businesses will take advantage of the opportunity to scale up or launch their automation programs, allowing them to reduce hiring costs and improve process efficiency. Automated workplace tools may be the best way for organizations to grow and develop.

Sustainable automation via process assessment and discovery

To manage employees and processes efficiently, companies are adapting and scaling IA. Assessment frameworks and process discovery provide actionable insights that help companies make informed decisions, prioritize processes, and create an automated production line.