Data Collection
Image Data Collection in 2025: What it is and Best Practices
From retail to healthcare, computer vision (CV) is revolutionizing almost every industry. However, successful development and implementation of computer vision depend on high-quality image data. While some work with data collection services, others gather their own data to train their computer vision systems.
Ethical & Legal AI Data Collection ['25]: Examples & Policies
Ethics is a crucial aspect of life, and its absence may wreak havoc in the world. 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.
Quick Guide to Primary Data Collection in 2025
Familiarize yourself with primary data collection through this quick read
Best Data Collection Services & Companies in 2025
AIMultiple collects data on hundreds of thousands of B2B vendors from the web and surveys. Based on our experience, if you are looking for data to Top 12 AI data collection services Despite the efficiency of web data collection and synthetic data generation, human-generated data remains essential for AI development.
Data Collection for Marketing: 8 Use Cases & Strategies
Marketing teams today face growing pressure to collect data more intelligently and responsibly. As privacy regulations tighten, AI becomes more embedded in campaigns, and customer acquisition costs rise, outdated data collection methods can quickly lead to compliance issues and underperforming strategies.
Top 5 Data Collection Trends for Data-Driven Businesses
Data collection is becoming common practice for many businesses. Whether for implementing deep tech or conducting analytics, business leaders are continuously involved in gathering or using data to improve their operations. As people realize the power of harnessing data, the regulations and practices of gathering and using it change.
29 Datasets for ML & AI Models in 2025
To leverage or build generative AI or conversational AI solutions, a large amount of data is required. You can use existing datasets available on the market or hire a data collection service.
Crowdsourced Data Collection Benefits & Best Practices
Data collection is a crucial stage in developing AI/ML models, directly influencing their real-world performance. Whether you work with a data collection service or gather data yourself, it’s vital to execute this process correctly. However, selecting the appropriate data collection method can be difficult due to several data collection challenges.
Top 6 AI Data Collection Challenges & Solutions in 2025
AI adoption was at a slight decline last year (Figure 1); one of the reasons for that could be the various challenges in implementing AI. Training data collection has been identified as one of the main barriers to AI adoption. To avoid data-related challenges, businesses are opting to work with data collection services.
Top 6 Data Collection Methods for AI & Machine Learning
The global AI market is in full swing (Figure 1) as more businesses develop and adopt AI-powered solutions to make their processes more efficient. Collecting data is one of the most important aspects of successfully developing and using AI in your business functions.