AI Buyer Insights:

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Oracle AI Database@Azure Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
84.51° Professional Services 1550 $350M United States Oracle Oracle AI Database@Azure AI Database 2026 n/a
In 2026, 84.51° deployed Oracle AI Database@Azure on Oracle Exadata Database Machine to move key database workloads off on-premises infrastructure while avoiding a major hardware refresh. The Oracle AI Database@Azure implementation, classified as AI Database, was chosen to align the database estate with the companys broader Azure strategy and to support retail data science, insights, and media data and analytics workloads for Kroger, consumer packaged goods partners, agencies, publishers, and affiliated partners. The deployment leverages Exadata on Azure to preserve performance, scale, and reliability for core analytical and transactional database workloads, positioning Oracle AI Database@Azure as the primary AI Database layer for 84.51° data and analytics functions. Operational coverage focuses on the companys data science and analytics organization, integrating with existing Azure platform operations and shifting provisioning and lifecycle management toward cloud-native Exadata on Azure processes. The move is expected to reduce costs by approximately $1.6 million over three years, lower infrastructure risk, and provide a more flexible platform for the companys data and analytics workloads.
General Secretariat for Information Systems and Digital Governance Government 600 $150M Greece Oracle Oracle AI Database@Azure AI Database 2026 n/a
In 2026, the General Secretariat for Information Systems and Digital Governance expanded its Oracle footprint by provisioning Oracle AI Database@Azure as part of a broader extension into Oracle Cloud Infrastructure. The deployment positions Oracle AI Database@Azure within a hybrid cloud architecture that links on premises government IT infrastructure to cloud hosted database and AI services. Implementation concentrated on configuring AI Database capabilities that support vector workloads, model serving, and scalable transactional and analytic stores consistent with public sector requirements. Provisioned instances were tuned for higher throughput and lower latency while encryption, access controls, and audit logging were emphasized to meet compliance needs. The Oracle AI Database@Azure environment was provisioned to serve as the central data platform for AI enabled analytics experiments and operational reporting. Integrations explicitly tied the Oracle AI Database@Azure deployment to the existing Oracle Cloud Infrastructure tenancy, creating a hybrid topology for analytics workloads and controlled data exchange. Operational coverage aligns with GSISDG responsibility for national IT infrastructure and digital services, consolidating database services that support government applications and analytics pipelines. The architecture incorporates hybrid networking and role based access as core governance primitives. Governance was adjusted to strengthen security and compliance controls and to establish a platform for future AI and analytics initiatives across government digital services. According to GSISDG reporting, the migration improved performance, strengthened security and compliance, and expanded hybrid cloud capabilities while creating a foundation for subsequent AI projects.
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Buyer Intent: Companies Evaluating Oracle AI Database@Azure

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FAQ - APPS RUN THE WORLD Oracle AI Database@Azure Coverage

Oracle AI Database@Azure is a AI Database solution from Oracle.

Companies worldwide use Oracle AI Database@Azure, from small firms to large enterprises across 21+ industries.

Organizations such as 84.51° and General Secretariat for Information Systems and Digital Governance are recorded users of Oracle AI Database@Azure for AI Database.

Companies using Oracle AI Database@Azure are most concentrated in Professional Services and Government, with adoption spanning over 21 industries.

Companies using Oracle AI Database@Azure are most concentrated in United States and Greece, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle AI Database@Azure across Americas, EMEA, and APAC.

Companies using Oracle AI Database@Azure range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 0%.

Customers of Oracle AI Database@Azure include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Oracle AI Database@Azure customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Database.