Oracle’s earnings report last week didn’t do much to soothe concerns about how the company will fund its artificial-intelligence investments. In fact, investor sentiment has taken a turn for the worse ...

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide ...

Forge 2025.3 adds AI Assistant to SQL Complete, supports SSMS 22, Visual Studio 2026, MySQL 9.5, MariaDB 12.2, and ...

Devart, a leading developer of database management software, is offering dbForge 2025.3, the latest update to its unified ecosystem of professional database tools-delivering expanded connectivity, ...

Oracle's partner in a $300 billion deal, OpenAI, is projected not to be cash generative until 2030. The bond markets are growing stressed about the company's future financing needs. This appears to be ...

Oracle’s stock has dropped 19% within just one month, unsettling investors who previously witnessed its rise earlier this year. The decline began after a revenue miss in the December quarter, but a ...

Aaron McDade is a breaking news reporter for Investopedia. He is an experienced journalist who has covered everything from the latest in business and tech news to sports and international news like ...

Did people complain – and by people, we mean Wall Street – as the world’s largest bookseller invested huge amounts of money to transform itself into an alternative to driving to Wal-Mart? Or, better ...

Today, investors are waking up to red on their screens as many tech and AI stocks are dropping in premarket trading. But why are shares in these companies falling? Much of it has to do with the cloud ...

Oracle's stock has plunged since hitting an all-time high in September as the company has become a poster child for growing investor concerns that an AI bubble has formed. The company is enmeshed in ...

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Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...