Cover photo by Andrea De Santis on Unsplash Facing challenges like data scarcity, imbalance, and limited real-world datasets, IGLOO Corporation revolutionized its cybersecurity strategy by leveraging YData Fabric’s synthetic data...
At YData, open-source solutions have always been a fundamental part of our DNA. Through ydata-synthetic, we’ve shared knowledge and empowered users to explore the potential of different generative models like TimeGAN, CTGAN, and many other...
In today's data-driven world, ensuring the security and privacy of customer information is paramount. For companies like YData, which operates at the forefront of data solutions, meeting the highest standards of security is not just a...
This thesis it is explored the evolving role of synthetic data in the digital age, particularly its impact on data protection under GDPR. You will learn on how to distinguish personal and non-personal data, as well as it covers the...
In the rapidly evolving AI landscape, synthetic data has emerged as a powerful solution to address challenges such as data privacy, scarcity, bias and even to improve overall data quality of a given dataset. However, generating synthetic...
Synthetic data, artificially generated data that mimics real-world data, is a technology that has undergone significant transformation in recent years. Since the dawn of data-driven synthetic data generation with generative models,...
Photo by Roman Kraft on Unsplash As machine learning continues to evolve, the use of Large Language Models (LLMs) has become increasingly prevalent, particularly in complex tasks requiring deep understanding and generation of human-like...
Photo by Isaac Smith on Unsplash Synthetic data bootstrap In the dynamic landscape of organizations high-quality data is a requirement for the development of many solutions - from software testing and validation all the way to Artificial...
Cover Photo by Avery Evans on Unsplash Dive into data management with our latest whitepaper, which presents an in-depth Gap analysis among YData Fabric, Alation, and Informatica—three solutions in the realm of data catalogs. These...
Cover Photo by Avery Evans on Unsplash In the dynamic landscape of software development, the significance of effective Test Data Management (TDM) cannot be overstated. Traditional approaches, such as IBM InfoSphere Optim, have long been...
Photo by Conny Schneider on Unsplash In the dynamic landscape of Data-Centric AI, data quality is crucial for the success of any analytics or machine learning initiative. Data profiling is an essential process that provides insights into...
Cover Photo by Avery Evans on Unsplash Business across all sectors, from retail to banking, rely on relational databases to extract competitive insights. However, due to the privacy regulations set in place to protect individuals’ data,...
