Hyperautomation in 2024: Digital Transformation and Key Trends
Hyper-automation, a concept proposed by Gartner, has the potential to revolutionize the digital revolution by 2024. This technology, which combines artificial intelligence (AI) and machine learning (ML) with the aim of automating processes and empowering human skills, is presented as an essential transformation in different sectors. In this article, we analyze the most significant trends and advances in hyper-automation, with the aim of reshaping the technological landscape in the near future, fostering efficiency and innovation in companies.
AI-Driven Process Discovery
One of the most outstanding trends in hyper-automation is the discovery of processes powered by Artificial Intelligence. This technology uses the potential of Artificial Intelligence and Machine Learning to examine and understand an entity's current corporate processes. By detecting problems, redundancies and areas for improvement, AI-driven process discovery enables companies to significantly optimize their operations. The shift from manual and intensive process mapping to automatic and accurate insights promises to transform the way companies deal with digital transformation, ensuring they are able to adjust to changing demands and maintain maximum efficiency on an ongoing basis.
Democratization of Automation
The democratization of automation is transforming the employment landscape from being an exclusive resource of IT experts to being available to a wider audience in organizations. This trend is gaining momentum in 2024 with the goal of facilitating access to automated tools for more individuals.
No-code or low-code platforms: These tools allow people, even without advanced technical knowledge, to create and execute automatic processes.
Involvement of multiple departments: This allows employees from various areas to actively participate in automation projects.
Worker empowerment: Workers now have the ability to lead automation initiatives, driving innovation within their areas.
Streamlining procedures: Automated processes improve operational efficiency and reduce time in different tasks.
Reduced IT demands: By being able to solve more challenges internally, the pressure on technology teams is reduced.
Intensified cooperation: Closer collaboration between technology and business teams is encouraged, creating a more integrative and efficient environment.
Impact on Cybersecurity and Predictive Maintenance
A significant effect of hyper-automation on cybersecurity and predictive maintenance is anticipated.
Hyper-automation is adopted in response to sophisticated cyber threats to strengthen security strategies.
Advanced Artificial Intelligence algorithms analyze large volumes of data to identify anomalous patterns and potential threats.
These algorithms enable automated responses to be triggered in real time, thus minimizing security risks.
The integration of hyper-automation with the Internet of Things (IoT) makes it easier to anticipate equipment failures.
Maintenance schedules are optimized, reducing downtime and ensuring efficient operation.
Hyper-automation transforms approaches to safety and operation in industrial environments through these advances.
To conclude, hyper-automation becomes an essential driver of digitization in 2024. The incorporation of cutting-edge technologies such as Artificial Intelligence, Machine Learning and RPA is transforming an organization's operations, increasing efficiency and fostering innovation. From AI-powered process discovery to the democratization of automation to improved cybersecurity and predictive maintenance, these trends in hyper-automation are set to change various aspects of the economy. As companies incorporate these innovations, they will be better prepared to meet the challenges of the digital age and achieve sustainable development.
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