Data Collection
7 Best Data Pipeline Tools With Key Capabilities in 2025
Businesses use a variety of data sources, including internal sources (e.g., CRM, ERP), external sources (e.g., social media platforms), and third-party web analytics services ( e.g., Google Analytics). Through the diversity of data sources, businesses use different technologies to capture data from their sources such as web scraping tools and browser fingerprinting technologies.
Human Generated Data with Methods in 2025
Despite the rise of generative AI tools like ChatGPT and Gemini, human-generated data remains crucial for AI developers. Companies like OpenAI invest heavily in obtaining human-generated data to train their large language models (LLMs). Whether through data collection services or in-house efforts, AI developers require a steady stream of human-generated data.
Top 4 Facial Recognition Data Collection Methods in 2025
Despite the controversies surrounding this technology, the facial recognition systems (FRS) market continues to grow. Facial recognition applications are everywhere, from helping improve mental disorder diagnoses to finding fugitives. Developing and improving these systems requires facial data, which sometimes can be challenging to obtain due to security and privacy-related concerns of people.
Automated Data Collection Tools & Use Cases in 2025
Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.
Top 3 Amazon Mechanical Turk Alternatives in 2025
This analysis explores some downsides to using Amazon Mechanical Turk, or MTurk, a popular AI data collection and market survey platform. It also compares the top Amazon Mechanical Turk alternatives on the market. Readers interested in MTurk alternatives usually fall under 3 categories; select yours to see relevant alternatives for your business.
Top 3 Appen Alternatives in 2025 for Workers & Customers
Appen, an AI data service provider, faces challenges that may explain its declining popularity. We compared the top alternatives to Appen in the AI training data space. The alternatives to Appen depend on your goals. Explore alternatives for Appen’s: Appen alternatives for workers * Data is from Trustpilot, as it primarily consists of worker reviews.
Audio Data Collection for AI: Challenges & Best Practices
As the demand for voice recognition and virtual assistants grows , so does the need for audio data collection services. You can also work with an audio or speech data collection service to acquire relevant training data for your speech processing projects.
Video Data Collection: Challenges & Best Practices in 2025
Video data is crucial for training computer vision (CV) systems, particularly with the increasing demand for autonomous vehicles and CV-enabled technologies. Here, we explore what video data collection entails, the challenges involved, and best practices to consider.
Image Data Collection in 2025: What it is and Best Practices
Computer vision (CV) is revolutionizing almost every industry. However, successful computer vision development and implementation depend on high-quality image data. While some work with data collection services, others gather their data to train their computer vision systems.
Ethical & Legal AI Data Collection in 2025: Examples & Policies
Ethics is a crucial aspect of life, and similar to its application in our daily lives, ethical considerations should also apply in the tech world. Disruptive technologies such as AI, ML, Internet of Things (IoT), computer vision, etc., require all sorts of data to operate.