A synthetic data generating solution built on Azure using advanced deep learning techniques using all forms of data (text, image, speech etc..).
The biggest drawback of using rule based synthetic data is that it doesn’t necessarily represent the real-world data as the defined rules can’t cover all the different use cases and business behaviors. Other issues with many firms are unavailability of data, data is too sensitive and when we need more data.
Artificial data amplifier is the solution to all the above issues. ADA is an AI solution that generates synthetic data that looks and feels like real data. ADA unlocks analytics and software development by supplying full access to data without compromising on customer trust, compliance, and privacy & security. ADA uses advanced neural networks to map real data and generate synthetic data that preserves all the relationships & characteristics. ADA can generate data in various forms like, tabular data (databases), Images and Free texts.
ADA uses the cognitive capabilities of Microsoft’s azure services to train and deploy the solution/ model. Various PaaS components are used to host the docker model on Azure e.g. Azure App services, Azure Blob storage, container registry, Azure D evOps etc. Also ADA leverages components like Azure Computer vision, ML Studio, MLOps framework to extract information and learn the details from unstructured data. ADA enables our customer to create high volume relevant data that resembles the production data. ADA also brings value to our customers by
The ADA business model includes the following tasks: Discovery
Par Capgemini Group