Beyond the Chatbot: Applications of AI in Industry
In our previous blog ‘From Data to Decision’ we already described the growth that AI has had in recent years and what is expected in the coming ones. It is clear that this tool has grown at an unstoppable pace and that every day there are new developments in major applications: Chat GPT, Gemini, Midjourney, etc. Just a few days ago, Elon Musk launched the new version of XAI’s Artificial Intelligence: Grok 3. Promising to be the ‘most intelligent in the world,’ although it will only be available in a paid version, it brings innovations such as reasoning capabilities and the concealment of reasoning models.
Artificial Intelligence, Much More Than a Chatbot
The real revolution of AI is not limited to content generation such as text or images, but rather in its application to industry. At CIRCE, we know that this technology goes far beyond a conversational assistant, and we incorporate Artificial Intelligence into services applied to industry, such as process optimization and cost reduction, always aligned with our mission to drive sustainability.
From Theory to Practice: AI Examples to Boost Industry
Artificial Intelligence applications improve operational efficiency, predict failures, and help anticipate problems before they occur. At CIRCE, we have identified the areas where we are working with Artificial Intelligence to generate tangible impact:
- Predictive Maintenance and Energy Optimization
No matter the industrial sector, we have all encountered losses caused by unexpected machinery shutdowns. Artificial Intelligence plays a significant role in these cases, as it helps anticipate failures and carry out preventive maintenance.
For example, some companies are using IoT sensors to collect machine data such as temperature, vibration, and consumption. Combined with AI, these systems can process this data and decipher patterns.
The main benefits for the industry in this case are reduced downtime, increased productivity, cost savings on repairs, and improved energy efficiency.
- AI for Efficiency in Manufacturing Processes with Advanced Simulation
How can we test different scenarios and optimize processes without conducting physical tests? Thanks to AI-based simulations, we can reduce, among other things, production times.
For example, in the metallurgical sector, AI models can be introduced into induction heating processes. With this process, we can predict how temperature will affect the material before applying heat.
The risk minimization in this example is clear: reduced energy consumption, less material waste, and more efficient and sustainable manufacturing processes.
- Computer Vision in Material Recycling
Material recovery is key to driving sustainability in the industry. In this case, Artificial Intelligence is helping automate waste classification through computer vision.
For example, for recycling plants, this is particularly interesting as it enables automatic identification and classification of materials.
Optical sensors and learning algorithms analyze materials in real time as they pass along a conveyor belt, sorting them with greater precision than manual methods.
The benefits for the recycling industry are directly related to productivity, as it increases the quantity of recycled materials, reduces costs associated with the process, and, most importantly, decreases environmental impact by increasing recycled materials.
Artificial Intelligence is already a reality in the industrial sector, and its adoption will make a difference in companies' competitiveness levels. The key now is to identify the right partner to accompany you in the process, as challenges such as technological integration, cybersecurity and privacy, and change management cannot be overlooked.
Having the right ally on this path is essential. At CIRCE, we will help you with scalable solutions tailored to your needs. Exploring AI solutions today can be the key to a more efficient and competitive future for the industry.
Is your company ready to take the next step? Contact us!
