Article

Service Quality Improvement: An AI-Powered Roadmap

Ago 3, 2026 in Guia: Como fazer

Drive service quality improvement with a practical roadmap covering KPIs, AI automation, change management, and measurement for lasting results.

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Article
Explainable AI in Healthcare

Nov 24, 2020 in Técnico

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. Taking the automation of loan attribution as an example, a client that has a loan denied will surely want to know why did that happen […]

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Article
Combater o cancro do colo do útero com Inteligência Artificial

Ago 25, 2020 in Webinar

In case you missed it. You may find below our webinar on the Symposium on Bioengineering 2020 at FEUP. Also, we reply to some answers that we didn’t have time to answer during the talk. Abstract Despite being easily preventable, cervical cancer remains a leading cause of death among women — the main reason behind […]

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A balance between two unbalanced options, representing the potential imbalance an AI algorithm generates
Article
Justiça na IA

Ago 18, 2020 in Webinar

In collaboration with Data Science for Social Good Portugal, we are excited to announce a groundbreaking series of webinars focusing on AI topics that intersect with the greater social good. Our recent webinar, the second installment in this series, took place on the 29th of July and featured an insightful presentation by Francisca Morgado. She […]

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Article
Applying geospatial data for Machine Learning, with a focus on social good

Jul 16, 2020 in Webinar

In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The first talk was by Paulo Maia, on the 28th of June, with the topic “Applying geospatial data for Machine Learning, with a focus on social good”. In case you weren’t able […]

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Article
Experiment Management and Reproducible Research

Jul 13, 2020 in Webinar

In this tutorial, we will discuss how can we achieve reproducible data pipelines and research while keeping track of the experiments that lead to reproducible production Machine Learning models. We will go over all the popular tools we use available and do a small demo of how we can use these tools (e.g., DVC, Pachiderm, […]

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A leaking faucet showing a careless management of water sources, typical behavior on fraud detection
Article
Who is tampering your meters? Fraud detection in Utilities

Jun 19, 2020 in Caso de Uso

Meter tampering is a common threat to the business side of utility services and a public security threat, incurring uncontrolled tweaks that may increase the risk of accidents. So, fraud detection is core for any utility service company. The presence of users that manipulate the network typically translates to an increased service price for the […]

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Article
Detecting Errors in Insurance Claims

Mai 5, 2020 in Caso de Uso

Insurance codes are used by people’s health plan to make decisions about how much your doctor and other healthcare providers should be paid.  There is some variety of coding systems currently used [1]: Current Procedural Terminology (CPT) codes, used by physicians to describe the services they provide. Healthcare Common Procedure Coding System (HCPCS),  used by […]

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Article
Thermal Imaging in AI

Abr 24, 2020 in Panorama da Indústria

Artificial Intelligence (AI) is one of the current hottest issues, intersecting many fields of interest. With the dissemination of this concept, the expectations about its potential grew a lot among the society. Some people look at AI as a set of mechanisms that can improve people’s intelligence, increasing the human activities performance, others look at […]

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Article
Embedding Domain Knowledge for Estimating Customer Lifetime Value

Abr 6, 2020 in Técnico

As part of the rise of Deep Neural Networks in the ML community, we have observed an increasing fit-predict approach, where AI practitioners don’t take the time to think about the domain knowledge that is already available and how to embed that knowledge in the models. In this blogpost, we will cover how we created […]

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Article
Appendix: Embedding Domain Knowledge for CLV Estimation

Abr 6, 2020 in Técnico

This is an appendix to the blog post Embedding Domain Knowledge for Estimating Customer Lifetime Value. We will describe some alternatives we considered for solving the proposed problem, but did not end up being implemented. First, let’s assume we have a pre-trained model for estimating the probability of the target and . Estimating Lifetime Value using […]

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