Synthetic data is information that has been artificially manufactured based on real-world data using an AI algorithm. Our AI-powered synthetic data solution takes your original data and transforms it into privacy-compliant synthetic copies. across departments and subsidiaries is a major reason behind an organization’s inability to turn on data-driven capabilities. That helps customers securely train predictive models and thereby unleashing the full potential of their data. Speed up POCs and save costs by providing privacy-compliant and as-good-as-real synthetic copies of your data! at meeting the primary objective of their data and analytics programs. Synthetic data, as the name suggests, is data that is artificially created rather than being generated by actual events. Mostly AI’s Synthetic Data Engine is orders of magnitude more accurate than mockup or dummy data enabling a range of use cases from data monetization, testing and development, user experience design, vendor validation, AI training, and much more, without putting customers' privacy or a company’s reputation at risk of a data breach. Synthetic data is any production data not obtained by direct measurement, and is considered anonymized. However, these results are based on a benchmark analyzed by their … Find a consulting partner. Synthetic data is a bit like diet soda. Contact us to learn more. Synthetic data has the potential to become the new risk-free & ethical norm to leverage customer data at scale. Create highly realistic, privacy-safe synthetic datasets proven to be compliant even with the strictest data protection laws. The concept of synthetic data has been around for many years but, mostly, referred to real data that had been modified in some way. , including behavioral data and transactional tables. by sharing synthetic versions of your customer data freely and safely within and across organizations. We have recognized the potential values of this approach very early on, and found the best possible partner in this field. Data structure. Their Synthetic Data Platform unlocks big data assets while at the same time guaranteeing the highest levels of data protection. Many times the particular aspects come about in the form of human information (i.e. Contact us to learn more. Follow @AzureMktPlace. Alexandra Ebert serves as the Chief Trust Officer at MOSTLY AI, a synthetic data company that developed new anonymization technology to empower businesses to unlock big data assets without putting their customers' privacy at risk. Enter synthetic data: artificial information developers and engineers can use as a stand-in for real data. A new kind of identity theft that combines stolen personal data with fabricated information is on the rise, and it’s helping more digital thieves ruin Americans’ credit without fear of detection, according to a new white paper from the U.S. Federal Reserve. Can you trust that third party vendor with data security? Test Drives. It is often created with the help of algorithms and is used for a wide range of activities, including as test data for new products and tools, for model validation, and in AI model training. Wait, what is this "synthetic data" you speak of? Synthetic data is exempt from privacy regulations, enabling data scientists to see the big picture by accessing privacy-compliant, statistically identical synthetic repositories seamlessly. Mostly AI Write a review. Mostly AI has developed a new type of anonymization procedure that converts original data into synthetic data, which maintains the high informative value of the original data, but at the same time prevents the re-identification of actually existing individuals. ). . Conceptually, synthetic data may seem like a compilation of “made up” data, but there are specific algorithms designed to create realistic data. Make use of all of your data assets, and share synthetic copies with external analytics providers, train accurate AI models with large batches of realistic synthetic data, and use sophisticated analytic tools to gain brand new insights. Using the synthetic version of the data, they could identify patterns leading to employee churn, optimize HR processes, and improve talent acquisition and retention rates. Mostly AI is a Vienna based company that leverages generative AI and differential privacy to offer the world's most advanced, GDPR-grade synthetic data engine for behavioral and transactional customer data. Synthetic data is created algorithmically, and it is used as a stand-in for test datasets of production or operational data, to validate mathematical models and, increasingly, to train machine learning models.. Synthetic data can also complement real-world data so that testing can occur for every imaginable variable even there isn’t a good example in the real data set. Democratize your data access with synthetic data! by getting access to highly representative yet fully anonymous synthetic behavioral customer data. by reducing time-to-data and time-to-market of your data projects from months to just days. Via the innovation hub wayra Germany, the start-up successfully deploys its solutions for Telefónica and increases its … Develop products and services in a data-driven, insightful way to make sure you serve customers how they really want to be served with products that meet their true expectations. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. Floats, strings, datetime objects are similar Measurement and Observation values. SYNTHEA EMPOWERS DATA-DRIVEN HEALTH IT. Synthetic data retains many of the same attributes and correlations as its source, regulated data. Mostly AI claims that synthetic data can retain 99% of the information and value of the original dataset while protecting sensitive data from re-identification. 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