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Ulrik Stig Hansen

Ulrik Stig Hansen

Ulrik is the President & Co-Founder of Encord. 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

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sampleImage_stanford-medicine-customer-story
Customers
Reducing Experiment Duration for Stanford Medicine
Ulrik Stig Hansen
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sampleImage_floy-customer-interview
Customers
Customer Interview: Annotating and Reviewing Medical Imaging Data with Encord
Ulrik Stig Hansen
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Computer Vision
Object Detection: Models, Use Cases, Examples
Ulrik Stig Hansen
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Company
Encord Named to the 2022 CB Insights AI 100 List 2022
Ulrik Stig Hansen
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sampleImage_kings-college-london-customer-story
Customers
6x Faster Video Annotation for King's College London
Ulrik Stig Hansen
sampleImage_generative-ai-and-gpt4-is-overrated-long-live-old-school-ai
Founder's Journal
Generative AI is overrated, long live old-school AI!
Ulrik Stig Hansen
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sampleImage_vida-id-customer-story
Customers
Reducing Model False Positive Rate from 6% to 1% with Vida ID
Ulrik Stig Hansen
sampleImage_rapid-ai-customer-story
sampleImage_rapid-ai-customer-story
Customers
Reducing MRI and CT Annotation Time by 70% for Rapid AI
Ulrik Stig Hansen
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Machine Learning
What Is Computer Vision In Machine Learning
Ulrik Stig Hansen
sampleImage_kings-college-london-customer-interview
sampleImage_kings-college-london-customer-interview
Customers
Overcoming The Mental Torture of Manual Data Labelling
Ulrik Stig Hansen
sampleImage_restaurant-automation-customer-story
sampleImage_restaurant-automation-customer-story
Customers
From 37 Annotation Hours to 1 with AI-assisted Labeling
Ulrik Stig Hansen
sampleImage_soc-2-compliant
Company
Encord: The SOC 2 Compliant Platform for Computer Vision
Ulrik Stig Hansen
sampleImage_top-active-learning-tools-for-machine-learning
Data Quality
Top 6 Tools for Active Learning in Machine Learning
Ulrik Stig Hansen
sampleImage_review-encord-g2
Company
How to Review Encord on G2
Ulrik Stig Hansen
sampleImage_project-stormcloud-infrastructure
Company
Providing Computer Vision Infrastructure for Project Stormcloud
Ulrik Stig Hansen
sampleImage_human-pose-estimation-with-tetonai
sampleImage_human-pose-estimation-with-tetonai
Customers
Using Computer Vision to Prevent Falls in Care Homes and Hospitals
Ulrik Stig Hansen
sampleImage_ai-regulatory-compliance
Data Operations
3 Key Considerations for Regulatory Compliance in AI systems
Ulrik Stig Hansen
sampleImage_visual-foundation-models-vfms-webinar
Video
Webinar: Are Visual Foundation Models (VFMs) on par with SOTA?
Ulrik Stig Hansen
sampleImage_data-operations-guide
Data Operations
Best Practice Guide for Computer Vision Data Operations Teams
Ulrik Stig Hansen
sampleImage_floy-customer-story
sampleImage_floy-customer-story
Customers
Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling
Ulrik Stig Hansen
sampleImage_finance-for-data-annotation-automation
Company
Startup Taps Finance Micro-models for Data Annotation Automation
Ulrik Stig Hansen
sampleImage_build-vs-build-data-annotation-guide
Data Operations
Data Annotation Tooling: Build vs. Buy: Lessons from Practitioners
Ulrik Stig Hansen
sampleImage_captur-customer-story
sampleImage_captur-customer-story
Customers
Training Computer Vision Models to Track Rented Assets
Ulrik Stig Hansen
sampleImage_how-we-raised-a-seed-round
Founder's Journal
How We Raised a $4.5M Seed Round
Ulrik Stig Hansen
sampleImage_an-introduction-to-data-labelling-and-training-data
Data Operations
The Full Guide to Training Datasets for Machine Learning
Ulrik Stig Hansen
sampleImage_teton-ai-customer-story
sampleImage_teton-ai-customer-story
Customers
Automating Data Labeling for Teton.ai
Ulrik Stig Hansen
sampleImage_action-classification-guide
Data Operations
How to use Action Classifications In Video Annotation
Ulrik Stig Hansen
sampleImage_sports-analytics-customer-story
sampleImage_sports-analytics-customer-story
Customers
Rapid Annotation & Flexible Ontology for a Sports Tech Startup
Ulrik Stig Hansen
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sampleImage_memorial-sloan-kettering-customer-story
Customers
Creating Advanced Ontologies for Memorial Sloan Kettering Cancer Center
Ulrik Stig Hansen
sampleImage_in-house-training-data-tools-guide
Data Operations
Why You Should Ditch Your In-House Training Data Tools
Ulrik Stig Hansen
sampleImage_outsourcing-data-labeling-guide
Data Operations
The Full guide to Outsourcing Data Labeling for Machine Learning
Ulrik Stig Hansen
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sampleImage_computer-vision-in-agriculture-ai
Customers
Saving the Honey Bees with Computer Vision
Ulrik Stig Hansen
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sampleImage_computer-vision-for-insurance-tractable
Customers
Building Computer Vision Models for Insurance with Tractable
Ulrik Stig Hansen
sampleImage_improve-quality-of-labeled-data-guide
Data Operations
5 Ways to Improve The Quality of Labeled Data
Ulrik Stig Hansen
sampleImage_how-to-start-computer-vision-startup
Founder's Journal
How to Start a Computer Vision Startup
Ulrik Stig Hansen
sampleImage_computer-vision-use-cases-insurance
Computer Vision
6 Use Cases for Computer Vision in Insurance
Ulrik Stig Hansen