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 ...
As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...
Synthetic data has been one of the biggest new trends of the past two years. Our contributors look ahead to the development ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
Jēnna Reese is CEO of Connect Centric, a D.C.-based firm that helps Fortune 500s and large nonprofits execute technology initiatives. In the race to modernize with AI, a new kind of risk is quietly ...
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 ...
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 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 ...
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 ...
Whether AI developers scrape or license data, each approach poses challenges for content rights holders and AI companies Sophisticated systems capable of generating high-quality synthetic data can ...
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