Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...

Oracle (ORCL) has quietly pulled back over the past month, even as its year to date and multi year returns remain strong. That combination makes the current setup interesting for long term investors.

Weaker-than-forecast quarterly data for Larry Ellison’s tech company shows slowdown in revenue growth and big rise in spending Business live – latest updates Oracle’s shares tumbled 15% on Thursday in ...

Oracle's stock experienced a significant drop after reporting quarterly results that missed revenue expectations, largely due to substantial spending on data centers for AI customers like OpenAI. The ...

(Bloomberg) --Oracle Corp. shares plunged the most in almost 11 months after the company escalated its spending on AI data centers and other equipment, rising outlays that are taking longer to ...

NEW YORK, Dec 12 (Reuters) - The red-hot trade backing artificial intelligence-related stocks has taken a bruising from back-to-back troubling updates from Oracle and Broadcom, reigniting concerns ...

Oracle Cloud Infrastructure (OCI) is growing fast, with revenue up over 50% year-over-year, though it still holds a smaller ...

Oracle's $300 billion AI infrastructure deal with OpenAI has raised concerns about the company's debt. Oracle will need to borrow heavily to build AI data centers, and OpenAI's ability to pay is an ...

Oracle stock crash: Oracle stock dropped 14%, wiping out $105 billion in market value and putting the company on track for its worst single-day decline since 2001. The selloff followed weak revenue, ...

Oracle founder and Chairman Larry Ellison has outlined the difference between two types of artificial intelligence (AI) models, separating them based on their need for real-time, low-latency ...

Oracle's debt is rising as cash flies out the door to fund AI data centers. The company already has a debt-heavy balance sheet, and it will need to borrow more to fund its AI infrastructure contracts.

Database administrators are reinventing themselves. Data roams freely, AI is advancing, and governance is lagging behind. Yet the DBA remains indispensable.