Data Collection
Amazon Mechanical Turk Review in 2025
Amazon Mechanical Turk has become a popular name in the AI data collection services market (Figure 1). However, recent concerns have surfaced about the company’s operations, prompting its customers to reconsider their investment decisions. Here, we provide a detailed analysis of Amazon Mechanical Turk’s data services.
AI Data Collection: Guide, Challenges & Methods in 2025
The growing use of generative AI has led organizations to collect large amounts of data, either independently or through specialized AI data collection services, to effectively train and refine these technologies. As the demand for high-quality data grows, interest in AI data collection has surged.
Appen in 2025: In-depth Evaluation
As the use of artificial intelligence (AI) spreads across different industries, many organizations are working with partners to leverage the technology. AI data services are also becoming popular as businesses require more data to fuel machine learning models and natural language processing (NLP) systems. Appen is one such company that fulfills businesses’ data needs.
Top 3 Prolific Alternatives in 2025
Prolific is a popular AI data collection service that offers a crowdsourcing platform for AI data seekers. Our research identified some drawbacks of working with Prolific from the perspectives of its customers and workers.
Generative AI Data in 2025: Importance & 7 Methods
As we witness the digital transformation of industries, generative AI is rapidly carving its niche in the global AI market (Figure 1). It drives creating unique, high-quality content, simulating human language, designing innovative product prototypes, and even composing music.
7 Chatbot Training Data Preparation Best Practices in 2025
Chatbots use natural language processing (NLP) to facilitate human-like conversations, revolutionizing how businesses interact with customers by offering faster, more efficient, and personalized experiences. As the global market for chatbots grows with increased adoption, developing them requires large volumes of training data—either through data collection services, self-prepared datasets, or existing datasets.
5 Steps to OCR Training Data in 2025
The interest in optical character recognition (OCR) and intelligent character recognition (ICR) technology is falling (see figure 1) as companies switch to more automated solutions, such as machine learning-enabled data extraction. However, due to its various benefits, many companies still use1 or plan to use tools powered by OCR technology in their paper-based operations.
7 Steps to Obtain Computer Vision Training Data in 2025
Computer vision (CV) technology is advancing rapidly in various industries, including, healthcare, retail, automotive, manufacturing, and agriculture. As demand for computer vision systems rises, so does the need for well-trained models. These models require large, high-quality, accurately labeled datasets, which can be costly and time-consuming to collect.
Crowdsourcing in 2025: Types, Benefits & Top Use Cases
As the possibility of a potential recession rises, most businesses are going into a cost-cutting mode1. Mass layoffs are one of the measures companies are taking toward more efficiency. Crowdsourcing can be an effective way to both help businesses reduce costs and help economies lower unemployment.
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.