Posts by category
- Category: Blog posts
- The Ultimate Guide to Geospatial Data Science
- What Are the Benefits of Geospatial Predictive Analysis
- What Is Geospatial Data Analysis? – and How It Is Leveraged by Businesses
- Geospatial AI Solutions and Use Cases Explained
- The Challenges of Text, Audio, Photo, and Video Data Collection for ML Training Models
- Examining the Elements of Spatial Data Science
- What Is Named Entity Recognition in NLP?
- The Importance of Data Quality for Machine Learning: How Bad Data Kills Projects
- A Comprehensive Guide to Data Acquisition for Machine Learning
- Basic Data Collection Methods for Machine Learning Projects Explained
- The Benefits of Having a Human-in-the-Loop For Machine Learning and AI Projects
- News, Research, and Social Media as Sources for Datasets
- The Most Important Natural Language Processing (NLP) Techniques Explained
- What is Video Annotation for AI?
- What Is Polygon Annotation and How Does it Work?
- Bounding Boxes in Computer Vision: Uses, Best Practices for Labeling, and More
- Semantic Segmentation for Computer Vision Projects Explained
- What Is Audio Transcription and How Does It Relate to Data Labeling?
- What Is the Role of Opinion Mining/Sentiment Analysis in NLP?
- Definitive Guide to Computer Vision in AI
- 6 Reasons Why an eCommerce Business Cannot Function Without Data Labeling
- How Do AI and ML Relate to AR and VR?
- AI Text Models: Strengths and Weaknesses
- Can AI Read Our Minds?
- AI Experiments That You Can Try at Home!
- Machine Learning to Treat Neurodegenerative Disease
- Artificial Intelligence Predicts the Future of AI
- Regulation for the AI Industry
- Speech Recognition: Opportunities and Challenges
- Digital Cryptids: How AI is Making Monsters
- The Impacts of Bad AI
- Top 10 Books on Machine Learning and AI
- What is a Human-in-the-Loop?
- The AI Sentience Debate
- Using AI and Machine Learning to Decipher Ancient Languages
- AI Embodies The Bias Of Internet Content
- Predicting Crime With AI: Navigating Ethical Issues
- Ultimate Guide to LIDAR
- How Drones and Computer Vision are Used to Enhance Crop Yield
- How to Source Data For Computer Vision Projects
- Objectivity and Ground Truth in AI
- Is Synthetic Training Data the Future of Machine Learning?
- Manual Vs. Automated Data Labeling
- How to Find Training Data for Machine Learning
- Crowdsourcing Vs. Managed Service Vs. In-House Labeling
- The Art of the Dataset
- Abductive Learning and Artificial Intelligence: Why Can’t Machines learn like Humans?
- The Lack of Diversity in Datasets And Why We Should Care
- Artificial Intelligence Art from Africa and Black Communities Worldwide
- What Data do You Need to Create the Best AI Chatbots?
- Using Geospatial AI Technology to Save the Planet
- The Evolution of AI Chatbots
- How to Understand Your Customer
- How AI Can Support the Recruitment Process
- Can AI Solve The Problem of Content Moderation?
- Commitment to Security Assurance
- Impact Driven Applications
- Exponential Growth of NLP
- Sustainable Dev’t In Ghana
Pages
Careers
Case Studies
- Combining Soil Acidity Data with Product Sales to Create Unique Business Intelligence
- Leveraging Drones and AI to Increase the Efficiency and Decrease Risk in Reforestation Projects
- Digitizing African Healthcare Data for a More Equitable Future in Medicine
- Using AI and Drones to Create Precision Agricultural Systems for Commercial Farming
- Building a Model to Rapidly Identify Disease in Ghana’s Maize Plants
- Building African Language Voicebots to Enable Better B2C Interactions
- Real-Time Transcription of American Police Radios
- Identifying Shoplifting Events in Real Time
- Preparing Autonomous Vehicles for the Growing Popularity of E-Scooters
- Environmental Change Detection Using High-Resolution Satellite Imagery
- Precision Annotation on Road and Infrastructure Damage
- Securely Procuring and Annotating Large Volumes of 3D DICOM Medical Data
- Sourcing and Annotating Vehicle Damage Images for Automated Insurance Claim Validation
- Sourcing and Annotating Large Volumes of Agricultural Imagery for Precision Spraying
- Improving Language Model Accuracy Based on Reinforced Learning from Human Feedback
- Collecting and Processing Data on a 3000Ha Cocoa Field for Automated Crop Monitoring
- Content Moderation For Advertising and Marketing
- Medical Imaging
- Ethical Data Sourcing in Africa
Teams
- Freddie Monk
- Ama Larbi-Siaw
- Samuel Sundin
- Yaw Brefo
- Stephen Kwadwo Yiadom Owusu
- Simone Fugar
- Sharon Chinyere Iphy
- Atta Rita Aisha
- Michael Gagakuma
- Mark Charles - Debrah
- Stephanie Akoto
- Iphy Anthony
- Timothy Charles - Debrah
- Kevin Aholou
- Keren Dusu
- Kate Ama K. Yeboah
- Jesslin Anna Efua Hammond
- Isaac Kwame Kondo
- Prince Oberko
- Henry Kwei Quaye
- Godfred Tieku Kwarteng
- Enoch
- Enel Acquaye
- Emmanuel Acquah Aggrey
- Caleb Siaw Darfour
- Bright Mawuena Agbley
- Henry Ahiatsi