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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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.
Read MoreNov 29, 2020 in Opinion
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 numbers are still increasing. So, in this article we wanted to discuss what we can do with Artificial Intelligence at COVID-19. The general public opinion […]
Nov 24, 2020 in Technical
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 […]
Aug 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 […]
Aug 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 […]
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 […]
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, […]
Jun 19, 2020 in Use Case
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 […]
May 5, 2020 in Use Case
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 […]
Apr 24, 2020 in Industry Overview
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 […]
Apr 6, 2020 in Technical
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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