Data Science and preventive maintenance
Mechanical problems can stop production lines for hours, leading to a decrease in production and, consequently, a decrease in profit for the whole factory. With the emergence of Industry 4.0
Data Journey
Churn Rate and Machine Learning: predictive analysis
Monetizing data within clear privacy and compliance regulations is a quintessential action for every company that wants to be or keep being relevant in their market. Analyzing data generated by
Personalization in Data Science and recommendation systems
Personalization is increasingly a key factor in the modern paradigm of the digital market. The theory is simple: every person is uniqueand has their own taste and lifestyle, and this
Five everyday problems MLFlow solves
At Xpand, we take pride in our XP4DS workflow and like to surround ourselves with the best tools to make our work easier and results better. Among those technologies and tools, MLFlow
What is Microsoft Fabric and how it can impact your business
What is Microsoft Fabric? In its essence, Microsoft Fabric is a suite of integrated individual analytic tools and services that work together to provide a unified end-to-end analytics experience. It
DataOps and data processing
DataOps is a combination of practices, frameworks, architectural patterns, and cultural norms. Its purpose is to help you mitigate the obstacles to managing data with quality and efficiency. This set
Unlocking the power of data with dbt
dbt represents a paradigm shift in the way organizations approach data transformation, offering a modern, collaborative, efficient solution for managing data pipelines. Whether you opt for a cloud solution with
Machine Learning model monitoring: types of drift
After having decided on the best type of machine learning model and building it, we need to be aware that a working model will probably have to deal with different
Business Intelligence: how to define a governance strategy
Atualmente, as empresas estão a aumentar a sua cultura mais analítica, o que as ajuda a tornarem-se mais data-driven. À medida que essa transformação acontece, existem alguns pontos a ter
BI Framework: why you should have one for your data pipelines
Nowadays, every company has data needs. The way that data is treated and governed has a lot of processes that can be overwhelming at some point. Sometimes, when working with
