GenRocket, the market leader in Design-Driven Synthetic Data Generation, today announced the launch of its Unstructured Data Accelerator (UDA) — an innovation that extends GenRocket’s platform beyond ...

DUBLIN--(BUSINESS WIRE)--The "Synthetic Data Generation - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for Synthetic Data Generation was ...

Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects. The API is available in Mosaic AI Agent ...

Scalability challenges: Legacy systems are inflexible, unable to scale seamlessly as data volumes grow. They often require disruptive or costly upgrades, making it difficult to efficiently manage AI ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

In the race to build smarter artificial intelligence (AI) and supporting systems, many digital organizations and technology developers are focused on making more efficient models. The architecture, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Real data is not sufficient to train better artificial intelligence models, experts said at South by Southwest. But simulated data must be done right. Jon covers artificial intelligence. He previously ...