Is Digital Intuition the Next Evolution in Automation?
Rogerio Figurelli
Senior Specialist in AI, NLP, Robotics, Advanced Technologies, and IT Development
We are on the threshold of transforming how we understand and manage automated systems. Instead of maintaining a direct supervision model where humans closely monitor and control every aspect of operations, I suggest we consider a model centered on "digital intuition." This concept proposes that machines will not merely follow commands but will learn and make decisions based on predictive patterns and continuous learning, much like human intuition.
The Shift to Indirect Supervision
In today's world, much of automation relies on direct human oversight, where intervention is frequent to ensure systems operate as expected. However, we are moving towards a model of indirect supervision. In this new paradigm, the human role becomes more strategic and less operational while machines take on predictive and operational responsibilities.
Consider a system of autonomous drones within a logistics chain. These drones are already capable of making deliveries without human input. But what if they could predict issues before they arise, adjusting their routes in real-time based on patterns they have learned over time? This "digital intuition" that I propose represents the next step in automation, allowing machines to adapt and react automatically with greater efficiency and foresight.
Digital Intuition and Automated Dashboards
The concept of operational dashboards will evolve. Instead of serving as simple monitoring tools, dashboards will become intelligent systems that alert humans to potential problems and take corrective actions automatically. For instance, a stock management system could detect an impending product shortage and autonomously reorder supplies while adjusting forecasts based on new data inputs.
In this model of "intuitive supervision," the human role would primarily involve handling exceptions—intervening only when something unforeseen or irregular happens. This shift would free management from micromanaging every detail, allowing for a more strategic focus.
Indirect Supervision and Digital Intuition
This indirect and intuitive supervision model will allow companies to increase operational efficiency and improve decision-making quality. As autonomous systems become more sophisticated, they will learn from minor errors and adjust processes automatically, preventing the same issues from recurring. This will redefine the human role from direct operator to process overseer, guiding systems rather than controlling them manually.
In a business environment that demands agility, this ability to predict and adjust in real time will offer significant competitive advantages, enabling companies to adapt swiftly to market changes without constant human oversight.
领英推荐
Digital Intuition: A New Era of Automation
I see this evolution as the dawn of a new era in business automation. The operational systems of the future will not only predict failures but also adjust parameters automatically and implement solutions before problems escalate. This will allow companies to focus more on exploring new innovation opportunities while autonomous systems handle repetitive and operational tasks.
Conclusion: The Era of Digital Intuition
In conclusion, I believe the future of business operations lies in the shift towards a model of "digital intuition." In this new paradigm, automation won't just be a tool for executing commands but a predictive system that learns and adapts, allowing businesses to focus on innovation and strategic growth.
The digital intuition I propose is not just an automation concept. It forms the foundation of a broader transformation in which human beings are freed from repetitive tasks and can use their time and energy to drive true innovation. In the company I lead, we are already exploring this concept, helping businesses reach new levels of efficiency and innovation.
-------
By Rogério Figurelli - 10/20/2024 - https://www.dhirubhai.net/in/figurelli/
More about me
As CEO of Trajecta , my work focuses on intelligent IT architectures and strategic innovation, helping companies align their technological solutions with their business goals. With over four decades of experience solving complex IT challenges and driving digital transformation, I lead Trajecta to offer unique ideas, strategies, and architecture frameworks that bring sustainable and scalable solutions to businesses worldwide.
As a published author, I delve deeply into the crossroads of AI, human values, and the future of technology. Explore my books for fresh insights on innovation and technology: