The time when innovations were a symbol of success has actually already passed. Today, we live in a time when innovations come together to make results visible faster. This is the era of hyperinnovation.
We can say that innovations have gained momentum. We’ve written many times about automation processes in business. Since the rule was established in recent years that everything that can be automated should be automated, innovation leaders seem to be racing to come up with new ways to achieve this. Robotic process automation (RPA) reached its peak, and for many, that wasn’t enough, so artificial intelligence (AI) got involved. Artificial intelligence and machine learning have perfected processes, so today we can talk about the concept of hyperautomation. This term may sound awkward, but it best describes what is at stake.
Hyperautomation – A Tool for the Wise
When discussing advanced automation concepts, this is definitely something that requires due attention. The combination of different technologies, such as artificial intelligence and machine learning, with robotic automation and business analytics, aims to improve entire business processes by connecting technologies and resources. What is gained in this process is a collection of various functionalities. Hyperautomation integrates technologies to achieve maximum efficiency in the shortest time. RPA is used to perform repetitive tasks, AI for data-driven decision-making, and machine learning enhances processes important for further development.
End-to-end automation is focused on automating tasks from the beginning to the final phase of a process. This allows organizations to eliminate most manual interventions, reducing the risk of errors.
Continuous improvement and process optimization today depend on AI and machine learning models. This primarily refers to data collection and analysis, which are later integrated into patterns and strategies.
Successful examples of hyperautomation can be seen in banking and finance, healthcare, and manufacturing.
The essential difference between automation and hyperautomation is that, unlike automating individual tasks and parts of a business, hyperautomation goes one step further.
Therefore, hyperautomation is a much broader and more advanced approach to automation, aiming to encompass everything that can be automated.
The Development of Multimodal AI Models
The concept of multimodal AI models offers numerous possibilities. First of all, multimodal AI allows various types of data to be understood and processed. This includes not just text but also images, greatly expanding interactions with users. Information is combined, and it is not without reason that it is said that whoever controls information controls the world—in this case, business.
As a logical consequence, technology provides intuitive and tailored communication with users, allowing models to respond not only to text but also to questions involving images. This accelerates communication, and the results are more accurate.
A Positive Set of Circumstances
The ideal aspect of living in today’s time is the opportunity to intertwine our own creativity with the reach of science. A very important ally to modern organizations striving for efficiency is the ability to pair RPA processes with AI. Refreshing the work routine is the result achieved when a “robot” takes over a routine operation. In this way, workers, especially managers, are freed from manual tasks, which gives them room to expand in creativity and strategic challenges that can contribute to the growth of the organization.
As mentioned earlier, in finance, automation eliminates complex administration, in healthcare it helps doctors focus on patients rather than paperwork, and in logistics, it accelerates inventory management processes and supply chain tracking.
It is not impossible that these circumstances will lead to the unification of all available resources, which some may see as a threat, while the more experienced and prepared see it as “wind in their sails.”
The Magnificent Cloud
The cloud, from the English “Cloud,” literally meaning “cloud,” symbolizes invisible infrastructure. The cloud is omnipresent and allows organizations to manage complex workdays or processes with elegance.
In modern business, cloud platforms become the place where the precision of automation and winds of change intersect. Cloud is highly scalable, meaning it can expand and adapt to the needs of almost any organization. This flexibility gives organizations the opportunity to freely choose tools tailored to their needs, integrate them into their mission, and elevate the essence of their business to a higher level.
This way, physical boundaries are overcome, and digital worlds are managed without limitations. Cloud-based platforms use remote server networks, eliminating the need for local servers and hardware infrastructure. The most important technical feature of the cloud is the ability to scale horizontally and vertically. Horizontal scaling involves adding new server instances to adjust to increased load, while vertical scaling increases resources such as RAM or CPU power on existing instances. This flexibility allows companies to quickly adapt to changes in load without disruption.
Also significant in this process is microservices architecture, which involves breaking down applications into smaller, independent components. These components can be developed, tested, and deployed individually. Microservices communicate via APIs, enabling easier integration of various applications and automation tools.
A Bit About Modern Trends
Innovative processes within a company imply opening up to new business horizons. It can be said that it’s a two-way process in which companies adapt to trends while, in a way, creating them with their changes. Automation has become a business strategy and has long surpassed the term technological progress. The dynamics of the market and increasingly demanding customer needs dictate the speed at which these processes occur. RPA and artificial intelligence, relying on cloud platforms, now evolve hand in hand, and we are all witnesses to this. Gogol once said that simplicity needs to be grown into.
Since technologies are entering deeper into the core of business, responsibility also grows. Automation brings numerous benefits, but also obligations regarding ethics, privacy, and societal impact. Hyperautomation tests all companies balancing between innovation and established principles. Therefore, it is crucial to ensure that technology serves humans, not the other way around.
Hyperautomation promises a world where tedious tasks are handed over to machines. People have been paving this way for a long time, and this vision brings numerous changes to working methods. However, for this to fully happen, organizations need to prepare on how to leverage all possibilities while preserving the human component as the essence of every successful business story.
In such a world, we should always ask ourselves, what is our course, and is our company ready to tackle everything technology has to offer? In the end, we should always ask the question, what is the alternative, if there’s any space left for it?
