The intelligent automation landscape is constantly evolving, and in 2024, we can expect to see significant changes. With new technologies and approaches, the automation industry will become even more sophisticated and capable of delivering real business value. Here are eight trends that will shape the field of intelligent automation in 2024:
Increased adoption of AI and ML
Artificial intelligence (AI) and machine learning (ML) are already being used extensively in intelligent automation. Their use will become even more widespread as organizations seek to extract more insights from their data and automate more complex tasks.
Greater focus on process automation
Organizations will focus on automating end-to-end processes, particularly those that are repetitive or data-intensive. This approach will help increase efficiency and reduce costs.
Greater emphasis on low-code and no-code solutions
Low-code and no-code solutions will become more prevalent as organizations demand automation solutions that can be quickly deployed without the need for significant programming knowledge.
Increasing use of cloud-based automation
Cloud-based automation solutions offer greater scalability, flexibility, and accessibility. More organizations will adopt cloud-based automation solutions as they seek to leverage the benefits of the cloud.
Greater focus on automation security
As automation becomes more pervasive, there is a growing need to ensure that automation workflows are secure. Organizations will place greater emphasis on the security of automation workflows, particularly in industries subject to regulatory compliance requirements.
Greater use of process mining
Process mining is an approach that uses data to analyze business processes and identify areas for improvement. More organizations will use process mining to identify inefficiencies in their processes and optimize them for automation.
Increased use of intelligent chatbots
Chatbots are already being used extensively in customer service, but in 2024 we can expect to see them being used in other areas such as HR and IT support. The use of natural language processing (NLP) and machine learning algorithms will make chatbots more intelligent and capable of handling more complex tasks.
Greater use of RPA in unstructured data
Robotic process automation (RPA) is already being used to automate structured data tasks. In 2024, we can expect to see more organizations using RPA to automate unstructured data tasks. The use of cognitive technologies such as NLP and computer vision will enable RPA to automate tasks such as document processing and image analysis.
In conclusion, the intelligent automation landscape is constantly evolving, and in 2024, we can expect to see significant changes. As organizations continue to seek ways to increase efficiency and reduce costs, the use of automation will become even more prevalent. With the adoption of new technologies and approaches, we can expect to see intelligent automation become even more sophisticated and capable of delivering real business value.