SynthEval: A Novel Open-Source Machine Learning Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data

Sure, here's a simplified version of the text: Introducing SynthEval: a new open-source machine learning framework designed to accurately evaluate synthetic tabular data, focusing on utility and privacy. With SynthEval, you can easily analyze and ensure the practical usability of synthetic data for AI-driven decision-making and product development. Key Features and Value: - Simple and consistent evaluation of synthetic tabular data - A wide range of metrics for customized benchmarks - Support for custom metrics without the need to edit the source code - Simultaneous evaluation of multiple synthetic renditions of the same dataset - Addresses the challenge of maintaining consistency with changing data types Practical Implementation: By leveraging SynthEval, companies can enhance their AI capabilities to maintain a competitive edge and transform their way of working. This can involve identifying automation opportunities, defining KPIs, selecting AI solutions, and gradually implementing changes to drive measurable impacts on business outcomes. Spotlight on AI Sales Bot: Explore the AI Sales Bot from itinai.com/aisalesbot, which is designed to automate customer engagement 24/7 and oversee interactions across all customer journey stages. This practical AI solution redefines sales processes and customer engagement. Useful Links: AI Lab in Telegram @itinai – offering free consultation Twitter – @itinaicom