Article

Increasing Efficiency with Active Learning

The problem So there you are. You have collected your data, analyzed it, processed it, and built your sophisticated model architecture. After many hours of training and evaluating, you have come to a very unpleasant conclusion: you need more data. Before you readjust your budget to fit the extra data acquisition and labeling, let me […]

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Article
Increasing Efficiency with Active Learning

The problem So there you are. You have collected your data, analyzed it, processed it, and built your sophisticated model architecture. After many hours of training and evaluating, you have come to a very unpleasant conclusion: you need more data. Before you readjust your budget to fit the extra data acquisition and labeling, let me […]

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Article
NILG.AI is among the winners of the Vox Pop Open Call for Urban Mobility solutions

Out of 53 applications, the judges chose 18 projects, and NILG.AI earned the second-highest score for its innovative solution to improve mobility for wheelchair users. We are passionate about using data intelligence to drive positive change in communities, and this challenge allowed us to do just that. The challenge The existence of multiple barriers to […]

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Article
NILG.AI among the winning startups of HODCON Challenge 2022

We are proud to announce that NILG.AI was among the winning startups of the open call for the Hands on Data 2022 Conference.  Hands on Data is an open innovation initiative that creates matchmaking opportunities between major corporations in the Ruhr area and global startups. From a pool of over 100 applications of start-ups from […]

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Article
Artificial Intelligence in Real Estate

While many industries have benefited from Artificial Intelligence, Real Estate is essentially a virgin territory to apply AI. This blog post will show you how you can transform Real Estate with AI, the key consumers of these solutions, and the challenges the industry faces in its adoption. Suppose you are running a Multiple Listing Service, […]

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Article
Our vision of AI in Financial Services

In recent years, the financial services industry has been innovating technologically, supported by a complex ecosystem including banks, financial service providers, and start-ups (link). Within this blogpost, we showcase our vision of AI in Financial Services. AI in Financial Services From our point of view, we can group use cases in AI in three distinct […]

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Article
How to deal with the annoying implications of changing data sources

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 […]

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Article
Stop removing outliers just because!

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 […]

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Insights from UPTEC NON STOP

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 […]

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Article
Detecting duplicates in text

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 […]

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Article
Insights from Hands on Data conference 2022

📢 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 […]

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