As we move further into the 21st century, intelligent automation will become an increasingly important part of our lives. In 2023, we can expect to see a number of intelligent automation trends taking shape, from advanced robotics and machine learning algorithms to natural language processing and conversational AI. Here are 10 of the hottest intelligent automation trends to watch in 2023.
1. THE EVOLUTION OF HYPERAUTOMATION
Hyperautomation is a process of rapidly automating and optimising business processes using a combination of artificial intelligence, robotics, and other tools. It has the potential to revolutionise the way businesses operate, as it allows them to quickly identify opportunities and automate processes that would normally take much longer to complete manually.
In 2023, hyperautomation will take centre stage as organisations continue to capitalise on its potential for cost savings, increased productivity, and improved customer service.
2. GENERATIVE AI
Generative AI refers to a type of artificial intelligence that is capable of generating new outputs based on inputs. This means that it can be used to create new forms of data, such as images or music, that are similar to the original input. This has potential applications in a variety of areas, including art, science, and engineering.
In 2023, Generative AI will become more ubiquitous, allowing us to create new forms of data and gain valuable insights from them.
3. CONVERSATIONAL AI
Conversational AI is the use of artificial intelligence to create interactive conversations between humans and machines. This type of AI can be used to create natural language processing systems that understand human speech and respond appropriately. It has the potential to improve customer service, as well as making it easier for people to interact with machines.
In 2023, Conversational AI will become increasingly commonplace, making it easier for us to interact with machines and get the information we need.
4. AUTOMATED MACHINE LEARNING
Automated machine learning is the use of artificial intelligence to automate the process of building and training machine learning models. This type of AI has potential applications in healthcare, finance, and other areas. It can also be used to improve the accuracy and speed of machine learning applications.
In 2023, automated machine learning will become more prevalent, as organisations take advantage of its potential to significantly reduce the time and cost associated with building and training machine learning models.
5. AUGMENTED REALITY AND VIRTUAL REALITY IN AUTOMATION
Augmented reality and virtual reality can both be used to improve the automation process. Augmented reality has potential applications in training, as it makes it easier for people to understand processes by visualising them in 3D. Virtual reality can be used to simulate real-world scenarios and help automate certain processes.
In 2023, AR and VR will become more integrated into the automation process, allowing organisations to gain a greater level of understanding and insight into how their processes work.
6. AUTONOMOUS ROBOTICS
Autonomous robotics is the use of robots that are able to operate without direct human supervision. These robots have the potential to improve logistics, manufacturing, and other areas of business. They can also be used for tasks such as exploration and search-and-rescue operations.
Autonomous robots will become increasingly popular as businesses continue to realise their potential for cost savings and improved efficiency. As such, organisations will start investing more into the development of autonomous robots, allowing them to automate mundane tasks and free up personnel for other activities.
7. EDGE COMPUTING
Edge computing is the use of distributed computing to process data closer to where it is generated, rather than sending it to a centralised location. This can improve the efficiency and speed of data processing, as it reduces the time taken to transfer and process data.
Edge computing is an area of computing that has seen significant growth in recent years, and this trend is set to continue into 2023. As data becomes an increasingly important part of our lives, edge computing will become more and more attractive to businesses.
8. BLOCKCHAIN IN AUTOMATION
Blockchain is a distributed ledger technology that can be used to record data securely and immutably. This type of technology has potential applications in automation, as it can be used to store information, verify data, and create secure transactions.
In 2023, it is likely that organisations will continue to invest in blockchain automation solutions as they become increasingly aware of its potential. This could lead to widespread adoption of blockchain technology in the automation space, allowing organisations to securely store and process data with greater efficiency.
9. MACHINE LEARNING ENABLED CYBER ATTACKS
Machine learning can also be used to facilitate cyber attacks, as it allows attackers to automate certain tasks, such as vulnerability discovery, and increase the efficiency of their malicious activities.
In 2023, it is likely that organisations will be increasingly exposed to machine learning enabled cyber attacks due to the increased availability of AI in the digital space. As such, organisations will have to ensure that their security systems are up-to-date and regularly monitored in order to detect and mitigate these attacks.
10. NATURAL LANGUAGE PROCESSING (NLP) IN AUTOMATION
Natural language processing is a field of artificial intelligence that enables machines to understand and process human language. This technology has potential applications in automation, as it can be used to automate tasks such as customer service, language translation, and sentiment analysis.
In 2023, it is likely that NLP will become increasingly integrated into the automation process, allowing organisations to automate tasks that were previously too complex for machines. This will enable businesses to gain insights into customer behaviour, improve customer service, and reduce costs.
FINAL THOUGHTS
The automation industry is constantly evolving and developing, and 2023 will likely bring further advancements in this space. By understanding the trends to watch out for, organisations can ensure they stay ahead of the game and make the most out of automation technologies. From autonomous robots to natural language processing, there are plenty of opportunities for organisations to benefit from automation in the coming year.
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About Xcellerate IT
With over 22 years of knowledge and experience in Business Process Automation, Xcellerate IT is a leading Australian provider of powerful digital transformation software, providing innovative solutions to transform and automate information intensive business workflow and robotic processes, across both back and front office operations.
We are proud to have completed projects for over 100 Australian customers. These projects have assisted our customers to embrace the future by offering compliant, transparent and structured processes that meet their individual needs. Xcellerate IT's solutions have powered corporations across various industries including manufacturing, finance, local and state government, education, healthcare and a wide range of companies.
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