Tag: AI4business

Who to Hire First for Your AI Team: Data Analyst, Scientist or Engineer?

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 […]

Written by on Dec 2, 2023

Customizing Language Models: Fine-Tuning vs. Prompt Engineering

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 […]

Written by on Nov 6, 2023

NILG.AI’s Success Story with Vonovia at the Hands on Data Conference 2023

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 […]

Written by on Oct 9, 2023

Five Years Helping Entrepreneurs Embrace AI

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 […]

Written by on Sep 4, 2023

NILG.AI will be at the Iqony Technology Days 2023

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.  […]

Written by on Aug 21, 2023

Making Money with Mediocre AI Models: A Guide for Business Stakeholders

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 […]

Written by on Aug 15, 2023

Empowering Wheelchair Users at VOXPOP’s Demo Day

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 […]

Written by on Jul 28, 2023

Making Decisions in AI: Beyond Predictions

Artificial Intelligence (AI) has become a prominent field, and many organizations are eager to harness its potential. However, there is a crucial aspect that often gets overlooked: the decision-making process. After more than 10 years of working in AI, I firmly believe that instead of focusing solely on predictions, we should prioritize how AI can […]

Written by on Jul 27, 2023

The ABCs of Computer Vision Course is now available!

At NILG.AI, we believe that knowledge is the currency of the 21st century, and our commitment to knowledge sharing drives us to create, acquire, nurture, and facilitate its flow. Today, we are thrilled to announce the launch of our latest free course, The ABCs of Computer Vision – an exciting opportunity to dive into the fascinating […]

Written by on Jul 25, 2023

Protect your AI Model from attackers!

Machine learning models can achieve amazing results performing tasks they were designed to. They can also have catastrophic performance if the data we feed the model is not compliant with the data used to train it. This can be exploited as an adversarial attack on our model. Adversarial attacks are a common and growing problem […]

Written by on Jul 10, 2023