📌 Crowdsourcing Platform Summary
A crowdsourcing platform is an online service that connects individuals or organisations seeking solutions, ideas, or tasks with a large group of people willing to contribute. These platforms allow users to post tasks, challenges, or projects, and then collect input or work from a diverse group of contributors. The approach can be used for a range of activities, such as data labelling, creative content, software development, or problem solving.
🙋🏻♂️ Explain Crowdsourcing Platform Simply
Think of a crowdsourcing platform like a digital noticeboard where anyone can post a job or question, and lots of people can help out by giving answers or doing small tasks. It is similar to asking your entire school for help with homework instead of just your friends, so you get more ideas and solutions.
📅 How Can it be used?
A company could use a crowdsourcing platform to collect thousands of product reviews quickly from real users.
🗺️ Real World Examples
Wikipedia is built using a crowdsourcing model, where volunteers from around the world contribute to writing and editing articles, helping to create a vast and regularly updated online encyclopaedia.
A business might use Amazon Mechanical Turk to get thousands of people to label images or transcribe audio clips, speeding up data processing for machine learning projects.
✅ FAQ
What is a crowdsourcing platform and how does it work?
A crowdsourcing platform is a website or app where people or companies post tasks, projects, or questions, and a large group of individuals can contribute their ideas or work. It is a way to gather input or complete jobs by inviting many people to help out, often from different backgrounds and locations. This approach can make it faster and more creative to solve problems or carry out work.
What kind of tasks can be done through crowdsourcing platforms?
Crowdsourcing platforms can be used for a wide variety of tasks. Some common examples include labelling images for artificial intelligence, writing articles, designing logos, answering surveys, or even helping with scientific research. The tasks can be simple or complex, and the variety is one of the reasons crowdsourcing is so popular.
Why do organisations use crowdsourcing platforms instead of doing the work themselves?
Organisations use crowdsourcing platforms because they can quickly reach a large and diverse group of people with different skills and perspectives. This can help them get more creative ideas, finish work faster, or solve problems that might be tricky with just a small team. It is also often more flexible and cost-effective than hiring extra staff.
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/crowdsourcing-platform
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Threat Simulation Frameworks
Threat simulation frameworks are structured tools or platforms that help organisations mimic cyber attacks or security threats in a controlled environment. These frameworks are used to test how well security systems, processes, and people respond to potential attacks. By simulating real-world threats, organisations can find weaknesses and improve their defences before an actual attack happens.
Machine Learning Operations
Machine Learning Operations, often called MLOps, is a set of practices that helps organisations manage machine learning models through their entire lifecycle. This includes building, testing, deploying, monitoring, and updating models so that they work reliably in real-world environments. MLOps brings together data scientists, engineers, and IT professionals to ensure that machine learning projects run smoothly and deliver value. By using MLOps, teams can automate repetitive tasks, reduce errors, and make it easier to keep models accurate and up to date.
Cross-Task Knowledge Transfer
Cross-Task Knowledge Transfer is when skills or knowledge learned from one task are used to improve performance on a different but related task. This approach is often used in machine learning, where a model trained on one type of data or problem can help solve another. It saves time and resources because the system does not need to start learning from scratch for every new task.
AI for Digital Inclusion
AI for Digital Inclusion refers to using artificial intelligence technologies to help ensure everyone can benefit from digital tools and services, regardless of their background, abilities, or location. This involves designing AI systems that are accessible, easy to use, and considerate of people with different needs. It also means using AI to remove barriers so more people can participate in the digital world.
AI for Civic Tech
AI for Civic Tech refers to the use of artificial intelligence to improve public services, government processes, and civic engagement. It helps analyse data, automate tasks, and provide better information to citizens and officials. This technology can make government services more responsive, transparent, and efficient for everyone.