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Synthetic data : Offers a privacy-compliant alternative for AI training and validation tests, predicted to surpass real data usage in AI models by 2030. And it’s used either to perform validation tests or even train AIs. Its impact is so big, that Gartner predicts synthetic data will surpass real data (in AI models) by 2030.
A few highlights: JPMorgan launched a ChatGPT-like internal tool (“IndexGPT”) to assist wealth advisors with research. Morgan Stanley rolled out a GPT-4 powered assistant for its financial advisors (to query internal research databases). It can also escalate to a human fraud specialist via chat. In the U.S.,
The DevOps experts review, audit, test, scan, and debug code to ensure the application passes critical security checkpoints. ChatGPT has brought the AI discourse to every industry. Almost all major technology companies are increasing investment in AI models (BERT by Google, RoBERTa by Facebook, GPT-3, etc.)
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