Today’s “big data stack” includes databases, data management software and data analytics tools – all critical components of an effective operational or analytical data system. But all those ...
Oracle (NYSE:ORCL) revealed its new AI Data Platform, agents and a wide array of new partnerships during its AI World event in Las Vegas this week. Shares ticked up about 2% during intraday trading on ...
LAS VEGAS, Oct. 14, 2025 /PRNewswire/ -- Oracle AI World-- Oracle today announced the general availability of Oracle AI Data Platform, a comprehensive platform designed to help customers securely ...
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Evercore ISI Reaffirms Outperform on Oracle (ORCL) Amid Data Center Leases and Multicloud ...
Evercore ISI predicts that this network may create almost $76 billion in annual GPU cloud revenue, considering that each ...
OpenAI announced Tuesday that it will develop 4.5 gigawatts of data center capacity in partnership with OracleORCL — confirming an expanded partnership between the two companies within the buzzy ...
Oracle is introducing the Fusion Data Intelligence Platform, a next-generation data, analytics, and AI platform that will help Oracle Fusion Cloud Applications customers achieve better business ...
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 ...
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 ...
Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...
Ellison has a reputation for delivering an interesting keynote, but the past two years have felt very different for the Oracle co-founder and CTO. Generative AI is pushing Ellison’s vision beyond the ...
Big data refers to large and diverse collections of data that cannot be managed by traditional data processing tools. Although the need to manage large data sets goes back to the 1960s and 1970s, it ...
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