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Synthetic Data
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Artificial Intelligence
Leveraging Dedomena's synthetic data platform for unparalleled ROI in your data and AI projects. Unleash innovation, drive growth, and make data-driven decisions with confidence and security.
May 2023
3 min read
In the era of data, businesses need essential insights to stay competitive. Dedomena's all-in-one AI platform combines synthetic data generation and data enrichment capabilities, enabling companies to accelerate and improve their data-driven strategy.
4 min read
Synthetic data, a privacy-preserving alternative to real data, is increasingly used to train AI models and improve their quality while complying with GDPR and other data protection laws
March 2023
5 min read
The insurance industry is embracing digital transformation with synthetic mobility data as a key driver. Challenges in collecting real mobility data have led insurers to turn to secure and efficient synthetic data solutions.
Feb 2023
Synthetic Data can help insurance companies to improve their underwritting, claims management and customer experience while unlocking the potential of data that have been hidden by data privacy regulations.
Nov 2022
Companies now have access to more employee data than ever before, and, as data collection becomes easier, it is more important than ever for HR to take position on ethical data use, privacy and security.
Oct 2022
Synthetic data has received considerable attention as a method of protecting patient privacy, diversifying datasets and augmenting clinical research, hence accelerating the application of Artificial Intelligence across different hospitals and institutions.
Jul 2022
Data anonymization is key to applying the best data-driven strategies in the banking industry. The correct implementation of this strategy based on synthetic data will allow extracting all the knowledge and insights from customer financial data.
Mar 2022
The banking industry faces a wide variety of challenges when it comes to anonymization and data privacy. Thanks to synthetic data, banks can tackle data challenges more effectively and unlock the full potential of their data assets.
The techniques that have always been used to anonymize data do not have the guarantee of ensuring the total anonymity of the data. These are techniques that have flaws when it comes to ensuring data privacy and utility.
Feb 2022
Without any doubt, synthetic data is one of the key technologies in the present and future of data science and artificial intelligence, but what is synthetic data? How do they work? And why is it key for data-driven companies?
Sep 2021
The applications and benefits that synthetic data can bring in the development of data-centric strategies for companies are huge and growing in relevance for data science teams.
Throughout this article, we will work with a Kaggle dataset, making a brief demonstration of how synthetic data is generated and how it preserves the statistical properties of the original data.
Jul 2021
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