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Top 20 Data Labeling Tools in 2025
Data labeling, the process of annotating raw data (such as images, text or audio), is essential for training ML models to perform tasks like classification and recognition. Here, we introduce top 20 data labeling tools. The top data labeling tools: Ranking: From most to least comprehensive.
Data Loss Prevention (DLP): Types & 5 Challenges in 2025
The increased mobility in introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software need to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk.
How Digital Twin Insurance Change the Sector in 2025
Digital twins offer improvements in core insurance practices such as underwriting, claims processing and fraud detection. Moreover, digital twins combination with the Internet of Things (IoT) can change the insurance industry that has existed for centuries, as they can prevent damages before they occur.
15+ Best Low-Code & No-Code Web Scrapers in 2025
No-code web scrapers can be classified into the following types: See the best no-code and low-code web scrapers: Top no-code/ low-code scrapers with ready-made scripts Table features explained: Type*: Some no-code scrapers with pre-built scripts also provide low-code capabilities, allowing users to customize their scraping process with minimal coding expertise.
Web Scraping in Real Estate: Top 5 Use Cases & Data Sources
Big data is changing the face of the real estate industry as more businesses are trying to implement data-driven decision making strategies to multiply profits, increase customer satisfaction, and mitigate market risks.
Data Quality Assurance with Best Practices in 2025
Optimal decisions require high-quality data. To achieve high data quality and sustain it, companies must implement data quality assurance procedures. See, what data quality assurance is, why it is essential, and the best practices for ensuring data quality.
Top 10 Training Data Platforms in 2025
Data is an essential part of the quality of machine learning models. Supervised AI/ML models require high-quality data to make accurate predictions. Training data platform tools ensure effective use of data processing from start to finish of ML deployment.
Data Commercialization: Risks and Best Practices in 2025
Companies in every industry use data to create value and manage data as an asset. They collect and analyze huge amounts of data coming from various sources. The increasing availability of data enables businesses to make real-time decisions.
Top 10 Use Cases of IoT Manufacturing in 2025
The market for IoT manufacturing is expected to be valued $400B by 2026. The ability to collect and analyze data from connected IoT devices and sensors in real-time provides manufacturers with unprecedented insights into their production processes.
Insurance Pricing: Determination & New Methods in 2025
According to Accenture, getting the best price is the top priority for 52% of auto insurance customers, 50% of home insurance customers, and 38% of life insurance customers. The study implies that although there are other criteria for customers, determining the optimal price is the biggest competitive advantage for insurance companies.