Data
Top 10 Data Center Automation Tools with Real-Life Examples
In this article, we will go over seven innovative data center automation tools.
Top 5 Best Practices for Data Center Automation in 2025
According to McKinsey, when data is not available, or is of poor quality, employees spend an additional 75% of their time on “non-value-adding activities.” To ensure data availability, data centers must act as locations that house data and are easily accessible on demand.
Audio Annotation in 2025
A subset of data annotation, audio annotation, is a critical technique for building well-performing natural language processing (NLP) models. These models offer numerous benefits to organizations, including analyzing text, speeding up customer responses, and recognizing human emotions. In this article, we take a deep dive into audio annotation to understand its importance for businesses.
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 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 Versioning: Top 3 Benefits & Best Practices in 2025
Companies rely on AI/ML models to make business decisions. Effective AI/ML models require high-quality data to make accurate predictions about future conditions. That’s why data is called the new oil for which successful companies need their own refinery. However, obtaining high-quality data is not a simple matter.
Data Curation: Everything You Need to Know About It [2025]
Data curation is an important part of data management. Data curation is the process of collecting, wrangling and preserving data. It allows companies to store sustainable and accessible data to share and apply self-service analytics. Data-driven insights are crucial as data-driven sales strategies enable companies improve their sales productivity by 20 %.
First Party Data: Use Cases & Best Practices in 2025
Your digital marketing can be only as targeted/powerful as the data it relies on. When customers interact with a brand, they leave behind first-party data. This data can help the organization deliver more personalized experiences for its customers. Organizations can trust these trails most since they are directly collected from the audience.