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Artificial intelligence in manufacturing: revolution or mere evolution?

Artificial intelligence is evolving from an established tool for process optimization to a driver of innovation in manufacturing. Generative AI, in particular, is opening up new perspectives in manufacturing: from creating product concepts to forecasting market trends and optimized logistics management. This technology integrates with existing traditional applications, such as collaborative robotics, digital twin and predictive maintenance, offering further opportunities for development and improvement of manufacturing processes.

2025-06-03T15:35:48+02:00January 23, 2025|Artificial intelligence (AI), ERP|

Integrated data for more efficient business management: when is it possible?

Data-driven business management requires effective data integration to address the increasing complexity of information sources. Adopting integration strategies enables companies to break down information silos and achieve the Single Source of Truth goal, which is critical to enhancing the value of data. In this way, operational efficiency can be improved, informed decisions can be made, and innovation can be supported. Investing in integration solutions means optimizing resources, reducing costs, and harnessing the full potential of enterprise data.

2025-06-03T15:35:49+02:00January 15, 2025|Advanced Analytics|

Optimizing the supply chain: strategies for 2025

Italian and European industry is facing significant challenges, including supply chain disruption and declining demand. In 2025, supply chain optimization will become a key element in maintaining competitiveness. Strategies such as adoption of artificial intelligence, advanced data analytics, sustainable practices and localized manufacturing will be key. The integration of advanced digital solutions such as SAP SCM will enable companies to improve efficiency, resilience and sustainability.

2025-06-03T15:35:58+02:00December 19, 2024|ERP, Supply Chain|

Artificial intelligence: how it helps improve product quality and production flexibility

In today's industrial ecosystem, Artificial Intelligence is emerging as a transformative tool, capable of making major changes in product quality and production efficiency. The technology is rewriting the rules of manufacturing, enabling companies to dynamically predict and adapt to manufacturing challenges with unprecedented precision. In the manufacturing industry, where every second counts and error is not allowed, AI is emerging as a strategic tool.

2025-06-03T15:39:03+02:00December 10, 2024|Advanced Analytics|

Regesta Trophy 15th edition: watch the photogallery and find out the final standings

On Saturday, November 9, the 15th edition of our annual Regesta Trophy was held; an individual stableford competition over 18 holes, featuring clients, friends and girlfriends. See the gallery of the event and find out the final standings.

2025-06-03T15:35:58+02:00December 9, 2024|Events and News|

ERP and IoT for predictive maintenance in Industry 4.0

Predictive maintenance enables manufacturing companies to optimize production processes and significantly reduce operating costs. Through the integration of ERP and industrial IoT, it is possible to monitor the condition of machinery in real time, predict failures and plan more efficient maintenance interventions. The adoption of advanced technologies such as IoT sensors, data analytics, and machine learning is the basis of the innovation strategy to leverage it.

2025-06-03T15:35:58+02:00December 3, 2024|ERP, Iot & ML|

Visual Inspection: improving quality control through technology

Automated visual inspection enables a shift from manual supervision to processes supported by advanced technologies such as Computer Vision and Artificial Intelligence. Visual Inspection systems make quality control faster and more accurate, reduce operating costs and improve production reliability. Through sensors, high-resolution cameras and machine learning algorithms, digital visual inspection is applicable in virtually every production environment

2025-06-03T15:35:59+02:00November 21, 2024|Advanced Analytics|
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