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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 […]

Data Scarcity Challenges? Enter Generative AI

Data has been one of the most important talking points in business for the last few years, with good reason. The more data available and harnessed, the easier it is for companies to do everything from building products that solve real-world problems to enhancing marketing efforts effectively and identifying trends and patterns. Yet, laws and […]