DataCebo news and milestones

/PRNewswire/ -- DataCebo today released SDV 2.0, software that lets an organization build a generative relational model of its own databases. DataCebo calls...

MIT researcher Kalyan Veeramachaneni describes the pros and cons of using synthetic data, which are artificially generated by algorithms, to build and test AI applications and tr…

AI companies say they are running out of high-quality data to train their models on. But they might have a solution: data generated by artificial intelligence systems themselves.…

AI Connectors allow users to create robust, referentially sound synthetic data by connecting to an existing database and automatically creating highly accurate metadata, regardle…

Despite being created artificially, synthetic data is crucial to machine learning. Discover its importance and examine some of its benefits and use cases.

Despite being created artificially, synthetic data is crucial to machine learning. Discover its importance and examine some of its benefits and use cases.

GPS data is often PII but anonymizing GPS data while preserving useful context is difficult. Learn about the challenges and how we solved them in this post.

To create multi-table synthetic data, it's important to learn the connections between tables. Explore 3 different approaches to the challenge.

Using SDV, a team from UCLA has shown that synthetic data can dramatically improve their models for detecting fraud in credit card transactions.

You can expect to see more open source project creators tighten up their licensing. But CEOs and founders say those decisions are complicated.

Navigating the Shift to Enterprise AI. Weekly insights with the founders, executives and engineers that are shaping the future of AI in the Enterprise.

Paul Nashawaty & Kalyan Veeramachaneni, Co-founder and CEO of DataCebo discuss access to synthetic data for generative AI models.

MIT spinout DataCebo's Synthetic Data Vault is being used to create synthetic data for industries needing robust software testing and data solutions.

MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.

How synthetic data powers AI innovation - and creates new risks - SiliconANGLE

DataCebo recently announced that it has raised $8.5 million in seed funding co-led by Link Ventures and Zetta Venture Partners. And Uncorrelated Ventures also participated. The c…

Today DataCebo emerged with SDV Enterprise, a commercial offering of the popular open source product Synthetic Data Vault (SDV). DataCebo also announced that it has raised $8.5 m…

Global 2000 Organizations Have 500 to 2000 Applications for Which They Need to Create Synthetic Data 12 Times a Year to Effectively Test Applications and Train Robust ML Models D…

DataCebo is an early stage startup from a couple of MIT alums, who created a way to generate synthetic data sets with generative AI.