AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Curious about the capabilities of AI, Ebert explored how AI and machine learning would develop in Europe under the new GDPR.

As artificial intelligence models continue to evolve at ever-increasing speed, the demand for training data and the ability to test capabilities grows alongside them. But in a world with equally ...

Global tech executives are racing to deploy autonomous agents over the next two years, but in doing so they face a balancing act: How do you leverage data in a way that maximizes trust and confidence ...

Government agencies are on the hunt for vendors and best practices that can help them make use of artificially generated data — also known as synthetic data generation – that can be used to build or ...

The Federal Chief Data Officers Council is looking for information on synthetic data generation as it works to establish best practices, according to a solicitation posted Thursday. The request for ...

Analyzing the shift in AI ethics, this article highlights the development of governance frameworks and the importance of ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

While many organizations are experimenting with synthetic data, few are focusing on scalability and building AI-ready data ...

In the rapidly evolving landscape of the finance industry, the advent of synthetic data stands out as a groundbreaking development to revolutionize the way financial institutions harness data for ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Artificial intelligence (AI) relies heavily on large, diverse and ...