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The new engineering of the software-defined vehicle

The new engineering of the software-defined vehicle

Automotive engineering is undergoing a change that goes beyond electrification. Increasingly connected and software-dependent vehicles are bringing together areas that, for a long time, worked more independently.

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Data quality in digital transformation

Data quality in digital transformation

Automation, artificial intelligence, analytics, and systems integration have advanced rapidly within companies. Still, many digital transformation initiatives continue to face a less visible problem: the quality of the data that alim

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Soft skills in the first 30 days of engineering projects

Soft skills in the first 30 days of engineering projects

In engineering projects, it is still common to treat soft skills as a secondary differentiator. In practice, the first 30 days show the opposite. It is during this period that it becomes clear if the professional can transform technical knowledge into contribu

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AI in processing plants: from reaction to prediction

AI in processing plants: from reaction to prediction

AI in processing plants has become a strategic solution for operations that need to deal with the natural variability of ore, reduce reactive decisions, and improve operational efficiency in real time. In consulting, it is common to fin

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Reliable data, better decisions: why the database is still the bottleneck of digital transformation

Reliable data, better decisions: why the database is still the bottleneck of digital transformation

Much is said about digital transformation as a synonym for innovation, speed, and competitiveness. In practically all sectors, companies seek to modernize operations, integrate processes, automate tasks, and expand their analytical capacity. In the

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How to reduce rework still in the product development phase

How to reduce rework still in the product development phase

Reducing rework in product development is a priority for companies that need to balance deadlines, cost, quality, and innovation. When failures are identified only in the more advanced stages, the impact tends to be greater, both on the sched

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