"There's a tagline that says AI changes everything, and that definitely holds true for Oracle,"
"They're definitely going all in for AI. Everything at the conference, everything in the keynotes, is all about AI."
"Oracle would like us to think that there's not much work there, but when you look at data quality and the maturity of data management across customer segments, that essentially defines who can get business value out of AI agents as a technology component,"
Oracle is expanding AI capabilities across cloud infrastructure, applications, and data analytics, adding AI features to Fusion ERP, finance, HR, and payroll. Oracle is extending AI Agent Studio for Fusion to support third-party LLMs including OpenAI, Anthropic, Cohere, Google, Meta, and xAI, and launching an agent marketplace with partners such as Alithya, Apex IT, Grant Thornton, Huron, IBM Consulting, Infosys, Wipro, Accenture, Deloitte, KPMG, and PwC. Realizing business value from AI agents depends on customer data quality and the maturity of data management. Effective deployment requires final inferencing and reasoning to convert trained models into meaningful, relevant decisions, making adoption a nontrivial effort for many organizations.
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