Ulrik Stig Hansen

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.

All blogs by Ulrik Stig Hansen

sampleImage_computer-vision-use-cases-insurance

machine learning

6 Use Cases for Computer Vision in Insurance

10 min

sampleImage_voxel-case-study

sampleImage_voxel-case-study

Customers

Finding a reliable ecosystem to scale model development

sampleImage_neurons-case-study

Customers

Accelerating the Prediction of Consumer Behaviour with Encord

sampleImage_what-the-european-ai-act-means-for-you

What the European AI Act Means for You, AI Developer [Updated December 2023]

11 min

sampleImage_kings-college-london-customer-story

Customers

How King's College London used Encord to annotate videos 6.4x faster

3 min

sampleImage_visual-foundation-models-vfms-webinar

Video Machine Learning

Webinar: Are Visual Foundation Models (VFMs) on par with SOTA?

3 min

sampleImage_why-ai-is-the-mother-of-all-unicorns

Why AI Is the Mother of All Unicorns

4 min

sampleImage_conxai-case-study

Customers

Improving Efficiency in the Construction Industry with Encord

sampleImage_sdsc-customer-story

sampleImage_sdsc-customer-story

Customers

How Surgical Data Science Collective (SDSC) Conducted Video Annotation 10x Faster

sampleImage_harvard-medical-school-mgh-customer-story

sampleImage_harvard-medical-school-mgh-customer-story

Customers

How Harvard Medical School and MGH Cut Down Annotation Time and Model Errors with Encord

sampleImage_how-to-start-computer-vision-startup

machine learning

How to Start a Computer Vision Startup

10 min

sampleImage_how-we-raised-a-seed-round

How We Raised a $4.5M Seed Round

7 min

sampleImage_kings-college-london-customer-interview

Customers

Customer Interview: Overcoming The Mental Torture of Manual Data Labelling

7 min

sampleImage_automotus-customer-story

Customers

How Automotus increased mAP 20% by reducing their dataset size by 35% with visual data curation

sampleImage_object-detection

machine learning

Object Detection: Models, Use Cases, Examples

4 min

sampleImage_ai-regulatory-compliance

Data Operations

3 Key Considerations for Regulatory Compliance in AI systems

4 min

sampleImage_ai-regulation-explained

Proposed AI Regulation: EU AI Act, UK's Pro-Innovation, US AI Bill of Rights

4 min

sampleImage_treeconomy-customer-story

sampleImage_treeconomy-customer-story

Customers

Accurately Measuring Carbon Content in Forests

sampleImage_floy-customer-interview

sampleImage_floy-customer-interview

Customers

Customer Interview: Annotating and Reviewing Medical Imaging Data with Encord

8 min

sampleImage_outsourcing-data-labeling-guide

Data Operations

The Full Guide to Outsourcing Data Labeling for Machine Learning

12 min

sampleImage_four-growers-customer-story

Customers

Transforming Fruit and Vegetable Harvesting & Analytics with Computer Vision

sampleImage_viz-customer-story

sampleImage_viz-customer-story

Customers

Accelerating Diagnosis to Treatment with Encord

sampleImage_stanford-medicine-customer-story

Customers

Reducing Experiment Duration for Stanford Medicine

3 min

sampleImage_rapid-ai-customer-story

sampleImage_rapid-ai-customer-story

Customers

Reducing MRI and CT Annotation Time by 70% for Rapid AI

5 min

sampleImage_memorial-sloan-kettering-customer-story

sampleImage_memorial-sloan-kettering-customer-story

Customers

Creating Advanced Ontologies for Memorial Sloan Kettering Cancer Center

3 min

sampleImage_european-ai-act-learning-pack

Learning Pack: The European AI Act's Impact on AI Developers

30 min

sampleImage_generative-ai-and-gpt4-is-overrated-long-live-old-school-ai

machine learning

Generative AI is overrated, long live old-school AI!

5 min

sampleImage_video-what-the-european-ai-act-means-for-ai-developers

What the European AI Act Means for AI Developers

30 min

sampleImage_finance-for-data-annotation-automation

Startup Taps Finance Micro-models for Data Annotation Automation

3 min

sampleImage_computer-vision-in-agriculture-ai

sampleImage_computer-vision-in-agriculture-ai

Customers

Saving the Honey Bees with Computer Vision

3 min

sampleImage_improve-quality-of-labeled-data-guide

Data Operations

5 Ways to Improve The Quality of Labeled Data

8 min

sampleImage_action-classification-guide

Data Operations

How to use Action Classifications In Video Annotation

8 min

sampleImage_computer-vision-for-insurance-tractable

Customers

Building Computer Vision Models for Insurance with Tractable

3 min

sampleImage_cb-insights-ai-100-2022

Encord Named to the 2022 CB Insights AI 100 List 2022

2 min

sampleImage_vida-id-customer-story

Customers

Reducing Model False Positive Rate from 6% to 1% with Vida ID

8 min

sampleImage_what-is-computer-vision

Machine Learning

What Is Computer Vision In Machine Learning

5 min

sampleImage_restaurant-automation-customer-story

sampleImage_restaurant-automation-customer-story

Customers

From 37 Annotation Hours to 1 with AI-assisted Labeling

3 min

sampleImage_soc-2-compliant

Encord: The SOC 2 Compliant Platform for Computer Vision

4 min

sampleImage_review-encord-g2

How to Review Encord on G2

5 min

sampleImage_project-stormcloud-infrastructure

Providing Computer Vision Infrastructure for Project Stormcloud

2 min

sampleImage_human-pose-estimation-with-tetonai

sampleImage_human-pose-estimation-with-tetonai

Customers

Using Computer Vision to Prevent Falls in Care Homes and Hospitals

7 min

sampleImage_data-operations-guide

Data Operations

Best Practice Guide for Computer Vision Data Operations Teams

10 min

sampleImage_floy-customer-story

sampleImage_floy-customer-story

Customers

Floy Reduced CT & MRI Annotation Time with AI-Assisted Labeling

7 min

sampleImage_build-vs-build-data-annotation-guide

Data Operations

Data Annotation Tooling: Build vs. Buy: Lessons from Practitioners

4 min

sampleImage_captur-customer-story

Customers

Training Computer Vision Models to Track Rented Assets

6 min

sampleImage_an-introduction-to-data-labelling-and-training-data

Data Operations

The Full Guide to Training Datasets for Machine Learning

10 min

sampleImage_teton-ai-customer-story

sampleImage_teton-ai-customer-story

Customers

Automating Data Labeling for Teton.ai

3 min

sampleImage_sports-analytics-customer-story

sampleImage_sports-analytics-customer-story

Customers

Rapid Annotation & Flexible Ontology for a Sports Tech Startup

10 min

sampleImage_in-house-training-data-tools-guide

Data Operations

Why You Should Ditch Your In-House Training Data Tools

5 min