Discover How IGLOO Transformed Cybersecurity with Synthetic Data
Cover photo by Andrea De Santis on Unsplash
Responsible AI is the ethical and reliable development and deployment of artificial intelligence systems that minimize harm, ensure transparency, and accountability. By considering ethical and societal implications responsible AI can help mitigate potential risks and promote trust in AI technologies.
The Center for Responsible AI is the largest consortium ever dedicated to Responsible AI, bringing together eleven startups, including two unicorns, eight research centers, a law firm, and also five industry leaders in Life Sciences, Tourism, and Retail.
With an investment of almost 80 million euros, the consortium will be responsible for 21 new AI projects by 2030. The goal of this project is to develop a fair artificial intelligence system and to solve questions that, up to this moment, were too challenging due to the danger involved.
Data is the raw material of artificial intelligence. The way we work with them determines the success of each project and each company's decisions. Responsible AI comes as a result of responsible data.
YData will be in charge of data understanding, data democratization, bias mitigation, and data causality. Easy data access and quality control will help approach problems such as gender and ethnic discrimination.
Enhance the performance and efficacy of your data-drive initiatives across a broader distribution of population with fair and unbiased data.
Cover photo by Andrea De Santis on Unsplash
YData Brings State-of-the-Art Data Quality Profiling and Synthetic Data Generation to Databricks, Enhancing Data Workflows and Ensuring Safe Data Sharing
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...