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Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models


There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative.  However, using actual data creates two significant challenges […]

The post Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models appeared first on DATAVERSITY.


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Author: Anshu Raj

Ask a Data Ethicist: When Is It OK to Use “Fake” Data?


It’s easier than ever to use AI-generated images or text and to create synthetic data for use in research. A recent high-profile story got me thinking more about this question: When is it OK to use “fake” data? Before we dive into this, I’m putting “fake” in quotes because I’m taking a wide perspective on […]

The post Ask a Data Ethicist: When Is It OK to Use “Fake” Data? appeared first on DATAVERSITY.


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Author: Katrina Ingram

5 Data Management Trends Data Practitioners and CIOs Should Know in 2024 and 2025


Data has always been a driving factor for organizations. Over the past decade, the value of data has increased exponentially. Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data. The data, most commonly referred to as historical data, is collected over sufficient […]

The post 5 Data Management Trends Data Practitioners and CIOs Should Know in 2024 and 2025 appeared first on DATAVERSITY.


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Author: Yash Mehta

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