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.

Posts by Solange Borrego

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.

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.

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.

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!