{"id":106871,"date":"2026-08-18T13:54:07","date_gmt":"2026-08-18T09:54:07","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=106871"},"modified":"2026-08-18T13:54:08","modified_gmt":"2026-08-18T09:54:08","slug":"oracle-expands-access-to-gemini-models-across-apps","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/oracle-expands-access-to-gemini-models-across-apps\/","title":{"rendered":"Oracle Expands Access to Gemini Models Across Apps"},"content":{"rendered":"\n<p>Oracle is expanding access to Gemini models through its partnership with Google Cloud, bringing Google\u2019s AI models to its enterprise applications portfolio.<\/p>\n\n\n\n<p>The expanded partnership is designed to help Oracle Fusion Cloud Applications and Oracle NetSuite customers automate processes, accelerate decisions, and securely execute mission-critical work.<\/p>\n\n\n\n<p>The move builds on customers\u2019 existing access to Gemini models through Oracle Cloud Infrastructure (OCI) Enterprise AI. Oracle also plans to make Gemini models available through Oracle AI Agent Studio for Fusion Applications.<\/p>\n\n\n\n<p>Oracle AI Agent Studio provides a development platform for organizations to build, connect, execute, and run AI automation and agentic applications. It supports reusable Oracle, partner, and external agents.<\/p>\n\n\n\n<p>In addition, Oracle plans to use Gemini models for embedded AI use cases across <a href=\"https:\/\/www.oracle.com\/applications\/\">Oracle Fusion Applications<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/www.netsuite.com\/portal\/home.shtml\">Oracle NetSuite<\/a>.<\/p>\n\n\n\n<p>\u201cOrganizations around the world trust Google Cloud&#8217;s full AI stack to power critical enterprise workflows and agents,\u201d said Satish Thomas, Vice President, Google Cloud. \u201cOur expanded partnership with Oracle is designed to make it easier for organizations to use Gemini in the applications and agentic workflows they rely on to automate workflows, accelerate decisions, and drive outcomes.\u201d<\/p>\n\n\n\n<p>Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud, said the partnership brings Google\u2019s AI models into core application workflows used by global businesses. He added that the collaboration aims to help enterprises apply AI directly where business decisions take place, while improving cost efficiency.<\/p>\n\n\n\n<p>With Gemini models available through Oracle AI Agent Studio, customers and partners will have greater choice when building Fusion-native agents and agentic applications. The integration will also expand multimodal capabilities.<\/p>\n\n\n\n<p>For example, customers and partners will be able to access Gemini 3.1 Flash-Lite, a model designed for high efficiency and price-performance, as well as Gemini 3.5 Flash for more complex reasoning and specialized tasks, including video and presentation creation. These models will be available alongside models from other leading providers.<\/p>\n\n\n\n<p>\u201cTo achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem,\u201d said Chris Leone, Executive Vice President, Applications Development, Oracle. \u201cBy bringing Gemini to <a href=\"https:\/\/www.oracle.com\/applications\/fusion-ai\/#studio\">Oracle AI Agent Studio for Fusion Applications<\/a>, we are giving customers and partners greater choice as they build and extend agents and agentic applications that reason through complex, real-world business challenges.\u201d<\/p>\n\n\n\n<p>Oracle Fusion Applications can then turn this reasoning into action through governed workflows, approvals, and transactions, according to Leone.<\/p>\n\n\n\n<p>Meanwhile, Oracle plans to use Gemini models for embedded AI capabilities in Oracle Fusion Applications and NetSuite. In each case, the company expects to use Gemini where it can provide suitable price-performance for specific customer scenarios.<\/p>\n\n\n\n<p>\u201cAI is at the core of how customers use and experience NetSuite and choosing the right model for the right use case is critical to helping customers get more value from AI,\u201d said Evan Goldberg, Founder and Executive Vice President, Oracle NetSuite.<\/p>\n\n\n\n<p>Goldberg added that NetSuite is evaluating different AI use cases and working with leading large language models, including Google\u2019s Gemini, to help customers improve visibility, automate work, and move from insight to action within <a href=\"https:\/\/techxmedia.com\/en\/netsuite-next-the-intelligence-upgrade\/\">NetSuite<\/a>.<\/p>\n\n\n\n<p>The addition of Gemini models to Oracle\u2019s enterprise applications also complements its existing developer offerings. These provide access to Gemini models through OCI Enterprise AI and integration with Gemini Enterprise Agent Platform.<\/p>\n\n\n\n<p>Together, Oracle and Google Cloud aim to give customers broader access to secure and cost-efficient AI models. The companies said these capabilities can support AI agents, accelerate development and data integration, and enable use cases across industries.<\/p>\n\n\n\n<p>Oracle Fusion Cloud Applications provide an integrated suite of AI-powered cloud applications designed to help organizations execute faster, make smarter decisions, and lower costs. The portfolio includes Enterprise Resource Planning (ERP), Human Capital Management (HCM), Supply Chain &amp; Manufacturing (SCM), and Customer Experience (CX) applications.<\/p>\n\n\n\n<p>Overall, the expanded partnership gives Oracle customers more options to use Gemini models across enterprise applications, agentic workflows, and embedded AI use cases.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Oracle is expanding access to Gemini models through its partnership [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":106869,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[154,9621],"tags":[2725],"contributor":[9732],"class_list":["post-106871","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-computing","category-emerging-technologies","tag-artificial-intelligence","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/08\/Oracle-and-Google-Cloud.jpg","author_info":{"display_name":"Rabab","author_link":"https:\/\/techxmedia.com\/en\/author\/rabab\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106871","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=106871"}],"version-history":[{"count":1,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106871\/revisions"}],"predecessor-version":[{"id":106872,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106871\/revisions\/106872"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/106869"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=106871"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=106871"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=106871"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=106871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}