Author
Ulrik Stig Hansen
Ulrik is the President & Co-Founder of Encord, the first platform enabling enterprises to manage and optimize data for multimodal AI. Ulrik started his career in the Emerging Markets team at J.P. Morgan. Ulrik holds an M.S. in Computer Science from Imperial College London.
In his spare time, Ulrik enjoys writing ultra-low latency software applications in C++ and enjoys experimental sushi making.
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All blogs by Ulrik Stig Hansen
What Is Computer Vision In Machine Learning
5 m
Finding a Reliable Ecosystem to Scale Model Development
How Harvard Medical School and MGH Cut Down Annotation Time and Model Errors with Encord
Accelerating Diagnosis to Treatment with Encord
5 Ways to Improve The Quality of Labeled Data
8 m
Generative AI is overrated, long live old-school AI!
5 m
How to Start a Computer Vision Startup
10 m
Recap: AI After Hours - Physical AI (Special Edition)
The Full Guide to Outsourcing Data Labeling for Machine Learning
12 m
Providing Computer Vision Infrastructure for Project Stormcloud
2 m
Using Computer Vision to Prevent Falls in Care Homes and Hospitals
7 m
Encord at ICLR 2025
Accurately Measuring Carbon Content in Forests
Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision
Meet Mavis - Product Design Lead at Encord
Meet Rad - Head of Engineering at Encord
3 m
Recap 2024 - An Epic Foundational Year
Spirit LM: Meta AI’s Multimodal Model for Seamless Text and Speech Generation
What the European AI Act Means for AI Developers
30 m
Exploring Google DeepMind's Latest AI Innovations: Gemini 2.0, Veo 2, and Imagen 3
SAM 2.1 Explained: Smarter Segmentation and Developer Tools For the Future
Object Detection: Models, Use Cases, Examples
4 m
6 Use Cases for Computer Vision in Insurance
10 m
Key Insights from the Inaugural AI After Hours
What the European AI Act Means for You, AI Developer [Updated December 2023]
11 m
Why AI Is the Mother of All Unicorns
4 m
How Thoro Cut Model Deployment to One Week and Increased Labeling Speed by 50% with Encord
How MMI Accelerates Digital Surgery Innovation with Encord
How Yutori Built the Best Web Agent in the World with High-Quality Human Data
Announcing Encord’s $60 million Series C funding
6 m
The Full Guide to Training Datasets for Machine Learning
10 m
What is Embodied AI? A Guide to AI in Robotics
From Models to Agents: How to Build Future-Ready AI Infrastructure
Encord as a Step Up from CVAT + Voxel51: Why Teams Are Making the Switch
A Guide to Speaker Recognition: How to Annotate Speech
How King's College London used Encord to annotate videos 6.4x faster
3 m
Improving Efficiency in the Construction Industry with Encord
Accelerating the Prediction of Consumer Behaviour with Encord
Reducing Model False Positive Rate from 6% to 1% with Vida ID
8 m
How Floy Reduced CT & MRI Annotation Time by 50%
7 m
Boosting Last-mile Model Performance: Increase mAP by 20% while reducing your dataset size by 35% with intelligent visual data curation
Customer Interview: Overcoming The Mental Torture of Manual Data Labelling
7 m
Building Multimodal AI Systems for Insurance with Tractable
3 m
Rapid Annotation & Flexible Ontology for a Sports Tech Startup
10 m
Reducing MRI and CT Annotation Time by 70% for Rapid AI
5 m
Saving the Honey Bees with Computer Vision
3 m