Article

How to Measure Employee Productivity Without Micromanaging

Jul 15, 2025 in Guide: How-to

Learn how to measure employee productivity with methods that build trust. Discover modern metrics, tools, and strategies to foster growth, not fear.

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Article
Crop monitoring & AI: The future of agriculture

May 12, 2021 in Industry Overview

Agriculture’s role and its importance is not strange to any of us. Besides feeding us all, it allowed the first settlements and the transition from a nomad lifestyle to a sedentary way of living that culminated in the current state of our civilization. Although there is already a lot of IoT technology and innovation being […]

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Article
Keyboard Layout Optimization for ALS Patients

Apr 9, 2021 in Webinar

In case you missed it, you may find below our webinar in collaboration with DSSG. For most of us, typing is the easiest part of transmitting a written message: we type and walk without even looking at the keyboard. I rewrote this abstract 3-4 times – writing wasn’t the issue, the message was. For ALS […]

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Article
Address validation for optimizing delivery success rate

Mar 17, 2021 in Use Case

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 higher with growth 3 times greater than the previous years, mostly due to the pandemic context we live in, which boosted the number of online shopping. […]

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Article
An AI-Based Image Content Retrieval System

Mar 7, 2021 in Technical

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 extremely useful when applied to different use cases. Over time, the information available on the internet has been growing in an exponential way, making it harder […]

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Article
Embedding Domain Knowledge

Feb 17, 2021 in Technical

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 was a manually intensive and time-consuming process, that usually led to inflexible proofs of concept that could hardly be adapted to new settings. Fortunately, Deep […]

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NILG.AI Named Among Western Europe’s Top B2B Companies for 2021

Feb 5, 2021 in News

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, improve efficiency, and provide a better customer experience. For a greater benefit, businesses should look into putting the full range of smart technologies including machine […]

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Article
An Overview of Churn Prediction

Jan 20, 2021 in Use Case

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 churn is, basically it’s associated with customers that will leave your company/services. So, it shouldn’t be a surprise that companies put a lot of effort […]

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Article
Reducing Unemployment using AI

Jan 18, 2021 in Use Case

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 a powerful tool in allocating scarce resources in a more efficient way. Inspired by DSSG Fellowship’s Project in Partnership with IEFP (Instituto de Emprego e […]

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Article
Closing Remarks from 2020 and insights of our practice

Dec 30, 2020 in News

, Over the last two years, we have worked intensively to create a reliable ecosystem for developing AI projects. Our long-term objective is to become an incubator for AI projects, ensuring higher levels of success than the industry standards. In our consulting practice as an AI company in Portugal, we face every project with a […]

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Article
Difficult Targets to Optimize: the ROC AUC

Dec 18, 2020 in Technical

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 become too biased for the more predominant class.  Thus, you may have heard that accuracy is not a good metric to validate classifiers in unbalanced […]

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