The accelerated evolution of Artificial Intelligence (AI) and the advancement of inference services have stood out as strategic tools to optimize the performance of complex systems. This last, traditionally associated with noise control in telecommunications, has been customized to also be applied in essential services, the famous utilities, reaching the consumer more frequently.
However, the market still requires important adaptations. The Qlik and ESG (2025) research indicates that, despite 94% of companies increasing spending on products and services to make data readiness for AI viable, only 21% of them fully integrated it into their operations.
In this context, the application of inference services in AI stands out as a strategic differentiator, integrating advanced techniques that ensure data quality while optimizing management in a more accessible and efficient way. By mitigating unwanted impacts and controlling variabilities, these solutions enable a more agile and reliable processing essential for sectors that depend on detailed analyses.
Using inference services in AI systems represents a significant advancement, as it enhances the ability of algorithms to identify patterns and reduce operational errors, highlightsAndré Sih, Founder & Managing Partner of Fu2re Smart Solutions. This approach not only improves the accuracy of the models, but also contributes to cost reduction and increased operational safety.
A Fu2reis an example of a company that uses inference services applied in sectors such as energy, oil and gas. Through the implementation of deep learning algorithms to analyze images and videos, the scale-up offers a robust and practical infrastructure, capable of processing complex data, optimize operations, identify flaws and enhance the security of systems.
The solutions from Fu2re demonstrate how these services can be applied to encourage utilities adapted to different scenarios. The company's assets provide an infrastructure that allows organizations to embark on a continuous innovation curve, інтегруючи, in an innovative and accessible way, the inference services in data processing.
TheSmartVision AI, for example, it is a solution developed by Fu2re that uses an inference system in order to democratize the use of AI in image recognition, allowing users without in-depth technical knowledge to easily create deep learning models. Through inference, it is possible to perform batch operations, ensure native integration with any corporate application and system, in addition to having secure endpoints, redundant servers, API de integração fácil 24/7 e tempos de resposta ágeis.
The platform adopts a no-code approach, eliminating the need for advanced programming and making AI accessible to professionals from various fields. This enables institutions, including essential services, develop and adjust your own image recognition models with just a few clicks, promoting supplier independence and team empowerment.
To increase the efficiency of the system, SmartVision AI includes pre-trained models and image pre and post-processing features. The platform also offers easy integration with existing corporate systems, like ERPs and databases, reducing costs and facilitating adoption.
The implementation process is structured in clear stages: the user starts by creating a database of images relevant to their use case and labeling these images to form a personalized knowledge base. Next, he chooses the AI model that best fits the specific needs of the project. The training is conducted in the cloud, allowing a detailed assessment of the results. Finally, the solution can be implemented on edge devices, enabling real-time and offline applications.
In essence, these techniques allow filtering and normalizing input signals, reducing noise and outliers that could compromise the accuracy of predictive models. When employing these methodologies, Fu2re significantly enhances the quality of the data used in decision support systems, making algorithms more resilient and effective.
This approach is especially valuable in sectors such as electricity generation, where data integrity is crucial for strategic decisions and for supplying entire regions. Furthermore, the ability to customize and scale Fu2re's solutions ensures that each client can face various challenges, counting on adaptable solutions through machine learning.
Organizations that have adopted these techniques report significant gains in process efficiency, cost reduction and greater reliability in operations – fundamental aspects for competitiveness in an increasingly dynamic global market, explainSih. "This union of inference techniques with Artificial Intelligence reinforces the ongoing commitment to innovation and highlights the ability of the Brazilian landscape to adapt to constant digital transformations", finalizes the executive.
With the growing demand for automation and efficiency, inference services are becoming essential to maintain competitiveness in the global market, according to Fu2re. The company has realized that technology can transform traditional sectors, making them more dynamic and prepared for the future.
