Artificial intelligence in industry is profoundly transforming operations, driving significant advances in productivity, efficiency, and competitiveness. Not as futuristic as many imagine, the reality of AI is already close at hand. It refers to the ability of computers or machines to mimic human skills, learning from past experiences to solve problems, make decisions, and interact through language.
This digital transformation has profound impacts on supply chains and the optimization of production processes. The artificial intelligence technology market reached around USD 200 billion in 2023, with projections to surpass USD 1.8 trillion by 2030, according to Statista data. Furthermore, Gartner projects that by 2025, 70% of organizations will have adopted operationalized AI architectures, driven by the rapid maturity of AI implementation initiatives.
The impact of Artificial Intelligence in industry
Artificial intelligence in industry has a profound and transformative impact, acting as a fundamental ally in production and management processes. Amanda Santos, Executive Manager of the INSI Hub for Data Automation and Artificial Intelligence, highlights: “AI helps automate processes, reducing operational costs and repetitive tasks. In addition, Artificial Intelligence can improve decision-making by generating valuable insights from data and personalize products and services according to customer profiles.”
In the era of digital transformation, this tool is essential for process optimization. It enables companies to process and analyze data in real time, allowing quick and accurate informed decisions. Continuous analysis of this data facilitates the identification of opportunities for improvement in production processes, boosting competitiveness and adaptability.
However, implementing artificial intelligence still faces significant challenges. Amanda emphasizes: “Cost is a major factor, especially for generative AI models, although they are becoming more accessible. Another major challenge is data handling; many companies still do not have well-structured data, which is essential for working with AI. Workforce qualification is also crucial, as there is still a shortage of professionals specialized in AI. Additionally, there are challenges related to integration with legacy systems, as well as data security and privacy, which must always comply with regulations such as the LGPD.”
This scenario shows that, despite progress, adopting artificial intelligence requires not only investment in technology but also adequate training and infrastructure to meet the contemporary challenges of the digital age.
How Artificial Intelligence is used in industry
Within the context of Industry 4.0, artificial intelligence has enabled significant advances in productivity, efficiency, and competitiveness. AI applications cover a wide range of areas, from predictive maintenance to quality management and process optimization.
“In smart manufacturing, AI can be used for predictive maintenance, production optimization, and quality control. In the supply chain, it can optimize transportation routes and inventory management, in addition to improving product traceability. In operations, real-time data analysis can assist in critical operational decisions,” explains Amanda.
Predictive Maintenance
One of the major benefits of AI in industry is predictive maintenance. Through smart sensors and real-time data analysis, machines are constantly monitored. This technology enables the prediction of imminent equipment failures, scheduling repairs before unplanned production stoppages occur.
Inventory Control
AI is also revolutionizing inventory control by using advanced algorithms to accurately predict future demand. This facilitates strategic material planning and reduces the risk of overstocking or shortages, optimizing the company’s financial resources. Generative Design
In product development, AI supports generative design. Machine learning software explores various combinations of design parameters, such as materials and manufacturing methods, to find the most efficient and cost-effective solution, accelerating the innovation process.
Quality Management
To ensure high quality standards, computer vision systems powered by AI identify defects and inconsistencies in manufacturing processes. This early detection capability helps maintain product integrity and operational efficiency.
Robotics and Automation
The application of AI in robotics enables the automation of repetitive tasks and the execution of complex operations with precision. Robots are used in activities such as assembly, welding, inspection, and collection, improving efficiency and reducing human error.
Process Optimization
Smart manufacturing software integrates machine and process data, providing a holistic view of operations. This facilitates the identification of improvement opportunities and task automation, freeing up time for strategic and management activities.
Loss Reduction
Finally, AI contributes to reducing losses at different levels. From predicting raw material waste to scheduling equipment maintenance, AI-based solutions minimize operational costs and increase overall production efficiency.
These applications demonstrate how artificial intelligence not only optimizes industrial processes but also drives competitiveness and innovation across the sector.
Which areas of Artificial Intelligence are most used in industry?
Different manufacturing sectors are rapidly adopting AI-based operating models, integrating machines and industrial automation. According to Amanda Santos, “Artificial Intelligence has the potential to accelerate innovation by analyzing large volumes of data, revealing new opportunities for products and solutions. In addition, simulations and modeling can significantly reduce both the time and costs involved in developing new products.”
Some of the main applications of this technology include:
• Predictive maintenance — AI is applied to monitor processes and predict failures, increasing efficiency and safety.
• Inventory control— AI helps plan inventories and supplies, reducing costs and improving resource management.
• Generative design — machine learning software is used to test and optimize product design.
• Quality management — machine vision algorithms detect defects in processes and products, ensuring quality.
How INSI supports AI implementation in industry #3
Amanda Santos highlights that INSI offers strategic consulting for implementing AI strategies, in addition to specialized technical support and training for business and technical teams. “It is crucial that managers understand the value of AI so that it can be efficiently integrated and deliver positive results for the business.”
When a company seeks INSI for Artificial Intelligence solutions, the steps and procedures for implementation begin with identifying the company’s needs and objectives. “We collect the necessary data, choose the appropriate tools and technologies, and form a multidisciplinary team according to the client’s needs. In some cases, we run a proof of concept (POC) to test whether the proposed solution solves the problem before investing in a larger project,” Amanda explains. These steps are essential to ensure the effective digital transformation of operations, optimizing production processes and integrating real-time supply chain data through machine learning.
Digital transformation with AI
Artificial intelligence is essential to the digital transformation of Industry 4.0, enabling companies to reach unprecedented levels of efficiency and competitiveness. With AI, industries can optimize processes, implement predictive maintenance, and use real-time data to improve supply chain and production management.
In addition to reducing costs, AI increases efficiency and supports decision-making through advanced data analysis algorithms. Companies like INSI are leading this revolution, providing solutions and specialized support for the successful integration of artificial intelligence across multiple industrial sectors.
Interested in learning more about how artificial intelligence and other trends can transform your company? Download our eBook “Trends in Digital Transformation” and discover more!