In recent years, the e-commerce industry has been increasing significantly in several sectors like food, retailing and electronics. In the latter part of 2020, this increase has been even […]
An AI-Based Image Content Retrieval System
Similarity measurement is the basis for any information retrieval, management, or data mining system. Both in industry and in the scientific community, similarity detection has been shown to be […]
Embedding Domain Knowledge
In the good old days, working as a Machine Learning Engineer meant working 95% of the time on feature engineering and 5% on training models with the extracted features. This […]
NILG.AI Named Among Western Europe’s Top B2B Companies for 2021
Here at NILG.AI, we know the importance of AI in transforming and turbocharging success for your business. Many businesses take up AI technology to cut back operational costs, grow revenue, […]
An Overview of Churn Prediction
Churn prediction – tandem with engagement – is probably the most wanted use case we get from Marketing departments across industries. For those of you that do not know what […]
Reducing Unemployment using AI
With COVID-19, many were affected by the economic crisis and lost their jobs. In Portugal alone, between February and September, there was a 30% increase in unemployment! AI can be […]
Closing Remarks from 2020 and insights of our practice
Over the last two years, we have been working intensively to create a reliable ecosystem for developing AI projects. Our long-term objective is to become an incubator for AI projects, […]
Difficult Targets to Optimize: the ROC AUC
In many binary classification problems, especially in domains with highly unbalanced problems (such as the medical domain and rare event detection), we need to make sure our model does not […]
AI at COVID19: What we are overlooking
Every aspect of our daily routines was hit by COVID this year, from our work and industries to social interactions. Nine months have passed since we started lockdowns, and the […]
Explainable AI in Healthcare
Transparency is of utmost importance when AI is applied to high stake decision problems where additional information on the underlying process beyond the output of the model may be required. […]