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Solange Borrego

Solange Borrego

Solange is a Quality Engineer who specialises in manufacturing. She has worked for 5 years in a shop-floor and is now looking to pivot her career to Data Science and AI applications. Her background in engineering and her passion for digitization is helping manufacturers implement digital solutions.

Solange’s five years of shop-floor manufacturing experience means she understands the problems GoSmarter is solving from the inside. She has lived the reality of quality management, compliance documentation, and the daily friction of manual processes in a production environment. That experience is the foundation of her pivot into data science — she is not trying to impose technology on manufacturing from the outside, she is building tools for an environment she knows intimately.

Her background in quality engineering gives her a rigorous approach to data: understanding how production data is collected, where it is unreliable, and what decisions it genuinely needs to support. She applies that same rigour to building data science solutions, ensuring that the outputs are trustworthy and that the models reflect the real constraints of a manufacturing operation.

Solange is passionate about digitisation as a route to better working conditions as well as better business outcomes. When a quality engineer spends less time on manual data entry and more time on actual quality work, both the product and the job improve. That is the opportunity she sees in AI for manufacturing, and it is what drives her work at GoSmarter.

Posts by Solange Borrego

MLOps is like process engineering for Data Science

MLOps is like process engineering for Data Science

The goal of MLOps is to streamline the development, deployment, and operation of machine learning models, by supporting their building, testing, releasing, monitoring, performance tracking, reusing, maintenance and governance, joining the efforts of Data Science and IT teams under a shared focus.

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Digital Supply Chains and why you need one

Adopting a Digital Supply Chain is big step towards achieving bigger goals like faster, more precise processes with visibility for the whole company. Digital Supply Chains can be hard to implement, but having a strategy is key. Most manufacturers already have some sort of data from ERP systems so building a Digital Supply Chain can begin with embracing more digital integrations with the ERP system and improving governance of the platform. It is very important to ensure that the implementation of a Digital Supply Chain is taken as seriously as other core business processes.

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Digital Twins and AI for manufacturers

Digital Twins and AI for manufacturers

Digital Twins are virtual replicas of real-world systems enabling low-cost modelling of the factory floor to help optimise processes. Combined with AI the Digital Twin can support improved forecasting, dynamic optimisation, and more.

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Data Champions are critical to your success in digitally transforming

Manufacturers need Data Champions to help them succeed in today’s digital world. To learn more about how you can find your Data Champion for your team or company, read on!

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