Archives

Metadata is the new oil: How a metadata catalog can create smarter, more autonomous AI agents

Beyond the hype: Unlocking Real Intelligence with Knowledge Graphs and GraphRAG

Benchmarking Retrieval-Augmented Generation (RAG): Who wins in document retrieval?

Decision intelligence in action: a real supply chain application in manufacturing

Mastering prompt engineering for LLMs: Techniques to improve quality, optimize cost & reduce latency

Synthetic data explained: How executives turn data scarcity into AI advantage

Building AI under the EU AI Act: How to stay agile, compliant and competitive?

Embeddings in computer vision: Accelerating computer vision development

Generative AI challenges and business value: Overview

EU AI Act compliance: A practical guide for engineers building AI systems

DeepSeek R1: GRPO in action – A Battlefield analogy for next-gen LLMs

Building a greener food system: AI’s impact on agriculture and food supply chains

Roadmap towards optimizing your operational value chain

The future of multimodal RAG systems: transforming AI’s capabilities

The role of AI in logistics and supply chain

Bias in HR: Tracking and mitigating job-matching engine disparities

Demystifying AI Literacy: Why it matters and how to foster it in your organization

Mastering RAGLite: A step-by-step Guide to building your own RAG pipeline

RAGLite: Unlocking simple and efficient Retrieval-Augmented Generation

Efficient product defect detection in manufacturing: Unsupervised anomaly detection for quality control

From Assistants to Agents: How Anthropic enabled Claude AI to operate computers

ONTMASKATRON 2.0: Who will the AI uncover in this year’s ‘The Masked Singer’?

3 ways GenAI can build business intelligence from unstructured data

Maximize your AI potential with MLOps

Stay ahead with AI: subscribe to our newsletter

Five game-changing forecasting trends driving business insights

5 reasons why Joseph loves working at Superlinear

10 skills every aspiring AI Engineer should learn

Can AI create engaging football sportscasting? Exploring the possibilities with EURO2024 matches

Foundation models for forecasting: the future or folly?

Implementing effective operations research solutions in OR-Tools

Steady the course: Navigating the evaluation of LLM-based applications

How to forecast on timestamped tabular data: a fusion of both worlds

Generative AI as a Canvas: The creator and designer’s guide

Simplifying GPU Setup and boosting reproducibility with Superlinear's Poetry Cookiecutter

Can I use AI Image Generators in my organization?

Refining a crop classification model: From data augmentation to model calibration

Revolutionizing value chain management with AI

Building competitive advantage: Navigating the 'Buy vs Build' Dilemma in AI

Mastering MLOps: A journey through four MLOps components

How to create a Pixel-Based Crop Classification model

Artificial Intelligence for conservation, forests, and farms

Leveraging remote sensing and machine learning for a greener future

Leveraging AI for predictive maintenance: A sustainable approach for the shipping industry

How artificial intelligence can help reduce food waste?

Kickstarting your MLOps journey: A step-by-step guide

The power of MLOps: Unlocking the potential of AI in your organization

Using AI for demand forecasting in transportation

Staying compliant and in control of your data when using ChatGPT and other Large Language Models

The evolution of GPTs: Current state and future predictions

Going beyond your own data: Create your own copilot with GPT-4!

The evolution of GPTs: From information gathering to proactive assistance

Embracing the evolution of AI: GPT-4 and Beyond

Unlocking the true potential of AI: A comprehensive guide to business success

Chat with your data using GPT-4!

Why is emotional AI not dead?

MLOps Stack 3: Continuously retrain a recommender system

MLOps Stack 2: Live predictions of key business metrics

MLOps tech stack 1: Multiple Computer Vision models for a mobile app

MLOps vs DevOps: shared principles, different practices

The secret they didn’t tell you about AI

Being a Machine Learning intern at Superlinear: how is it?

How CERM defeats today’s printing industry challenges?

How do our Solution Leads create impact with AI?

Why involve end users from the start of an AI project?

Here's how AI improves four crucial customer success KPIs

Using infrared spectrum to improve night-time autonomous driving

The consequences of NOT applying MLOps to your AI projects

4 must-do’s when starting your MLOps Journey

AI Projects & Digital Services Act: What CIOs need to keep in mind

Why purpose will shape the future of AI?

Five reasons to become a senior Machine Learning Engineer at Superlinear

Five AI myths that should not hold you back

5-minute guide to Azure Batch in action

How AI brings a positive impact to customer success

4 ways AI strengthens quality control

AI’s biggest challenge: Thinking beyond accuracy

How AI can help Wout Van Aert to win the Tour of Flanders

Five tips to create impact with AI

Bridging the knowledge gap with AI

EU AI Legislation: What to keep in mind

Mastering NLP: A guide to keyword extraction

Machine Learning without data...why not?

Data-Centric Machine Learning: How to think about data to get the most out of your Machine Learning models

MLOps: Machine Learning Ops and why your business should practice it

A complete guide on how to prepare to become a Machine Learning Engineer @ Superlinear!

Behind the scenes of a Supply Chain AI project

Starting a new AI job from your couch: the Superlinear remote experience during COVID

From A to Z on field boundary detection: A computer vision use case

Are you a student? Three tips to get started with AI

How to start training your team in AI

A guide to evaluating document embeddings - Part 2

Nine reasons why Superlinear is your dream workplace

How to design a user experience that creates trust and collaboration?

A guide to building document embeddings - Part 1

From PoC to production with AI: a guide

Why is AI important in the manufacturing industry?

Detecting low-contrast text in websites using Machine Learning: A guide

How COVID-19 has accelerated AI adoption in the Public Sector

How AI makes you superhuman

Machine Learning on Graphs

AI-oplossing van Superlinear helpt Vlaamse exporteurs de wereld te veroveren

Swiftly writing and deploying APIs to stay agile

Cloud after Schrems: Can EU companies still use US cloud services?

How AI can improve patient engagement in a digital-first world

What can you do with AI in the media industry?

Internships at Superlinear: Martin’s Machine Learning Engineer story

Communicating AI results to clients in a clear and understandable manner

AIOps: a bright future ahead?

Elevating your team spirit to the next level: even in times of COVID

Making your AI projects GDPR-compliant: principles explained

VDAB en Superlinear voorspellen welke jobs u interessant vindt dankzij artificiële intelligentie

Five keys to set your AI project up for success

Making your AI projects GDPR-compliant: how to get started

Design in the age of AI

How Erasmus led Superlinear girls to a career in Artificial Intelligence

How C-level can drive fairness in AI: by making (hard) choices

Opleiding volgen vanuit je kot? Superlinear helpt je op weg!

How life sciences companies can start with AI today

Polish your communication skills while #stayingathome

Can you use Serverless for Artificial Intelligence today?

A simple solution to a big problem in Belgian natural language processing

Why GPT-3 is like pink slime

Why does HR need AI?

Performant HTTP with Aiohttp in Python 3

Javascript cannot be trusted. Some security implications

Starting a Data Science team? We’ve got some lessons learnt to share with you

TensorFlow + SageMaker = ❤

EC2 + TensorFlow GPU + Docker = ❤