From Data to Decision: How AI and Digitalization Drive Industrial Competitiveness
The integration of Artificial Intelligence (AI) and process digitalization not only optimizes operations but also opens the door to tangible benefits that can make the difference between leading the market and falling behind.
Artificial Intelligence is exceeding all expectations. Consulting companies such as IDC and McKinsey project a sustained growth rate of between 20% and 30% for the coming years. Moreover, AI is no longer a tool solely for large tech companies; its adoption is increasingly widespread in other sectors such as manufacturing, finance, healthcare, and energy. And why is that? According to the McKinsey Global Survey: The State of AI in 2024, this technology has a significant impact when it comes to optimizing decision-making and improving processes.
Understanding AI as a Strategic Tool: The Importance of Having a Good Ally
The amount of data generated by Artificial Intelligence in every process can be overwhelming. This situation often leads to an information overload for any company. What is important at this stage? Having an appropriate strategy to analyze, filter, and prioritize all this information, which is sometimes a complete challenge. Accumulating data is merely an initial process, and there arises a need to turn data into knowledge. But how?
It is very important to understand that this challenge requires the intervention of experts who comprehend the complexity of the algorithms that govern AI. This, combined with the application of advanced analysis techniques and other technologies such as machine learning, aims to extract all the information and identify its true value.
At CIRCE, we focus on designing relevant patterns, detecting opportunities, and anticipating trends, enabling companies to improve their market competitiveness thanks to the advantage provided by technology and data analytics.
How Can AI Help Improve Energy Management and Boost Sustainability? Examples of Using AI to Optimize Energy Management
Applying Artificial Intelligence in the energy sector is based on two fundamental pillars: the technology that provides advanced solutions for network operators and owners of renewable generation parks, since this technology allows real-time adjustment of demand and supply, promoting a more efficient and sustainable management of the system.
- One example of this first block could be Smart Grids. These networks, key to decarbonization, leverage data analytics and AI to optimize real-time energy use and also minimize waste.
On the other hand, Artificial Intelligence leverages all its advantages in data analysis to enhance the competitiveness of industrial plants: it allows for predicting failures, improving operational efficiency, and optimizing energy consumption.
- For instance, considering a hypothetical case in which we implement a predictive maintenance system in industrial plants that consists of installing IoT sensors to capture data on machinery performance, vibrations, and temperature. Coupled with an AI algorithm, we can detect patterns and anomalies to predict failures.
AI get positioned as a key tool towards a transition to more sustainable energy models.
At CIRCE, we work on developing advanced tools such as:
- Developing predictive models for operational efficiency with in-house developed solutions.
- Facilitating the transition towards a sustainable business model by improving the decision-making process with technologies such as Deep Learning and Machine Learning.
- Enhancing the competitiveness of companies directly related to material recycling through our developments in computer vision.
Adopting AI is not just a matter of innovation; it also becomes an opportunity to lead the market and be more competitive. It goes far beyond a technological update—it is a strategic change.
If you are ready to transform your company and take advantage of all the benefits that technology and AI can offer, at CIRCE we can guide and accompany you every step of the way. Contact us!
