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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.
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Dec 2, 2023 in Opinion
Building an AI team can be daunting, especially when you’re unsure about the right talent to hire first. In this article, we’ll first explore the roles of data analysts, data scientists, and data engineers, and discuss the pros and cons of hiring each profile. We’ll also delve into how these roles fit into your company […]
Nov 6, 2023 in Technical
In the rapidly evolving landscape of artificial intelligence, there’s a notable surge in interest and activity surrounding generative AI. The question arises: Why this rush? What’s the driving force? The answer lies in the transformative power of customizing Large Language Models (LLMs). Businesses are increasingly captivated by the potential these models hold, specifically when tailored […]
Oct 10, 2023 in Machine Learning
Information is power, and geospatial data plays a vital role in various fields, including urban planning, transportation, environmental studies, and more. With the advent of machine learning, the demand for high-quality geospatial datasets has grown exponentially. In the midst of this, you will find a lot of tools and product owners that will ask for […]
Oct 9, 2023 in News
In the dynamic world of AI, NILG.AI continues to shine as a beacon of innovation and excellence. At the Hands on Data Conference 2023 (HODcon), our spotlight shone on our journey on the “Image Insight” Challenge with Vonovia, Europe’s leading housing company. Our CEO, Kelwin Fernandes, took the stage alongside Bastian Winkenbach, Head of Advanced […]
Sep 4, 2023 in News
We celebrate the 5th anniversary of NILG.AI with immense pride and gratitude. Over the years, we’ve embarked on a transformative journey, and today, as we commemorate this milestone, we want to take a moment to reflect on our accomplishments and share our exciting plans for the future. NILG.AI Fifth Anniversary: A Year of Remarkable Achievements […]
Aug 29, 2023 in Technical
Text classification is one of the most common use cases in Natural Language Processing, with numerous practical applications – now easier to access with Large Language Models. Companies use text classification in multiple scenarios to become more efficient: Tagging large volumes of data: reducing manual labor with better filtering, automatically organizing large volumes of […]
Aug 21, 2023 in News
Innovation drives the future of the industry, and at NILG.AI, we’re committed to leading this charge. Therefore, we’re excited to announce our participation in the upcoming Iqony Technology Days 2023, scheduled for this September in Brühl, Cologne. Our enthusiasm is fueled by our recent victory in the Hands On Data (HOD) challenge earlier this year. […]
Aug 15, 2023 in Technical
In the world of AI, it’s easy to assume that only the most accurate models can bring value to your business. However, this is far from the truth. In fact, even mediocre models can be transformed into money-making machines with the right strategies. In this article, we’ll explore three real-life examples of how we turned […]
Aug 2, 2023 in Machine Learning
Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.” What to do with these […]
Jul 28, 2023 in News
Lisbon, Portugal– On July 10th, NILG.AI proudly presented its urban mobility solution, SafeJourney, at VOXPOP Demo Day. The event showcased innovative projects aimed at transforming urban mobility. NILG.AI’s CEO Kelwin Fernandes and Pedro Serrano, data scientist at NILG.AI were present at the event, where they had the opportunity to present SafeJourney, an AI solution to […]
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