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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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.
Read MoreNov 20, 2022 in Técnico
Let’s discuss a common scenario in AI consulting. The client provides access to data sources in formats such as CSVs or databases that aren’t in a production environment. Why? Usually, they’re exploring the value of the project, do not want to disclose too much data and want to prevent technical problems from happening at the […]
Nov 14, 2022 in Técnico
Outliers are data points that stand out for being different from the remaining data distribution. An outlier can be: An odd value in a feature A data point distant from the centroid of the data A data point in a region of low density, but between areas of high density. Suppose you have been working […]
Nov 7, 2022 in Notícias
Last month, we participated in UPTEC NON-STOP, an event celebrating the 15th anniversary of UPTEC. UPTEC is the Science and Technology Park at the University of Porto, where businesses and academia meet to exchange ideas. During the event, local startups incubated at UPTEC (NILG.AI included), and French startups promoted by Accelerateur M pitched their business to […]
Out 25, 2022 in Técnico
A common use case seen across several industries is the creation of systems capable of detecting the similarity between pairs of objects – images and texts. For example, duplicate detection in marketplaces, or recommendation systems that show similar objects to the ones the user has searched for, can use such systems. They can also be […]
Out 25, 2022 in Notícias
📢 Last month, we attended the Hands On Data (HOD) conference in Bochum, Germany. NILG.AI was one of the startup exhibitors, and we exchanged many ideas with other companies and participants 🤗. As part of the “European Data Resilience” panel, we shared the stage with Prof. Viktor Mayer-Schoenberger (University of Oxford), Martin Wibbe (Materna Information & Communications SE), Christian Temath (KI.NRW , Fraunhofer IAIS), and Sarah Yvonne […]
Out 6, 2022 in Notícias
Different companies have different principles and values which define themselves. One core value NILG.AI invests in is team knowledge, both at individual and team levels. We deeply believe that personal growth is a driver for keeping the company thriving. In this blog post, we go through some of the processes we defined to promote Learning […]
Set 28, 2022 in Notícias
As time passes, any trustworthy company must evolve to improve and give more. For the past four years, we have been doing just that. Finally, the moment came when we saw the need to transmit our more ambitious vision. Our starting point When we went into business in 2018, the team was just Kelwin and […]
Set 22, 2022 in Técnico
Let’s face it, we all have worked on an ML project where we had to predict a ridiculously high number of classes. Large enough to make the number of observations per class into an embarrassingly small subset. Most people model these tasks as a multiclass classification problem where, for each input observation, we must predict […]
Set 15, 2022 in Notícias
Connecting and being connected greatly impact how we positively interact with others. At NILG.AI, we are not only focused on helping businesses unlock their capabilities, but we also make our mission sharing with the world how to leverage the power of Artificial Intelligence (AI). This knowledge-centered culture is one of our greatest pride and a […]
Set 5, 2022 in Notícias
Happy birthday! Today is NILG.AI’s fourth anniversary. Happy birthday to us! For most humans, birthdays are a synonym for getting older and leaving the good days of the youth behind. For companies, they are a moment to reflect on everything we achieved, recognize how far we have come, and envision how far we will go. […]
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