Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Oracle Q4 2026 earnings
Analytics and AI
Oracle’s Q4 2026 Earnings Call: $638B Backlog Turns AI Cloud Growth into Funding Test
Oracle surpassed fiscal Q4 revenue and earnings expectations with a focus on its AI infrastructure, reporting significant growth in cloud revenue and large-scale AI contracts, but faced investor concerns over capital spending and negative free cash flow as it aims to convert its $638 billion in remaining performance obligations into revenue.
Earnings
Analytics and AI
Oracle Earnings Will Test AI Infrastructure Economics Behind OCI Growth
Oracle's upcoming Q4 FY2026 earnings report on June 10 is pivotal, as investors are keen to understand how the company plans to manage the capital-intensive demands of its AI cloud expansion amidst a substantial $553 billion backlog, with expectations for revenue growth and the implications of their capital expenditures on future profitability.
Oracle AI World Tour
Analytics and AI
IBM Closes Out 2026 Oracle AI World Tour with a Clear Message: AI Is Now an Operational Imperative
IBM's 2026 Oracle AI World Tour highlighted the transition of enterprises from questioning AI adoption to leveraging it for tangible business value, showcasing success stories and practical guidance across major cities while emphasizing the importance of intentional design, robust governance, and integrated systems for effective AI implementation.
Analytics and AI
IBM Positioned as Leader in Oracle Supply Chain Services as Enterprises Prioritize Resilience and AI
IBM is recognized as a Leader in the IDC MarketScape for Worldwide Supply Chain Oracle Ecosystem Services (2025–2026) for its comprehensive capabilities and strategic approach, emphasizing the necessity of integrated, end-to-end supply chain transformation amid increasing investment and complexity in the industry.
Analytics and AI
Dynamic Finance Emerges as a Competitive Differentiator in the AI Era
Research from the IBM Institute for Business Value reveals finance functions are evolving from retrospective roles to proactive decision-makers in enterprise performance, highlighting a stark performance gap where only 12% of organizations exhibit advanced maturity in strategic influence and digital agility.
AI in higher education
Analytics and AI
Drivestream Opens AiPEX University to Show Higher Education What Agentic AI Can Actually Change
Drivestream has launched AiPEX University, a new immersive experience center built with Oracle to help higher education leaders see how agentic AI could operate across enrollment, financial aid, academic planning, student engagement, HR, and finance.
Analytics and AI
Denso Backs Oracle to Rewire Global Supply Chain
Denso is standardizing on Oracle Fusion Cloud Applications for its global supply chain operations to create an AI-driven core system, enhancing decision-making and operational efficiency amidst growing complexities in the automotive industry.
Analytics and AI
Oracle’s AI Pivot Is Reshaping How It Builds Software, Staffs Teams, and Funds Growth
Oracle is transforming its operational and financial strategies by shifting focus to AI as a core element of its enterprise framework, resulting in significant layoffs while simultaneously investing heavily in infrastructure and automation to enhance product development efficiency.
Gov Facility Services
Analytics and AI
Oracle AI Financials Rewire Federal ERP Playbooks
Oracle is advancing in the federal market with its AI-powered Federal Financials, now listed in the U.S. Treasury’s FM QSMO Marketplace, which facilitates the transition from legacy systems to a modernized, integrated ERP platform for public finance teams.
Citizen developer AP Automation with Native Apps
Analytics and AI
Architecting the Intelligent Enterprise Across Mixed Ecosystems
How Visionsoft helps enterprises unify Microsoft, Oracle, and other ERP platforms through integration, migration, and intelligent architecture.
Automation
Opkey Targets SaaS Release Bottleneck with AI-Driven ‘Release-to-Action’ Automation
Opkey has launched Release Advisor, an AI tool that automates the analysis of Oracle and Workday updates to streamline release decision-making, cutting analysis time by 60-80% and enabling faster certification of updates.
Automation
Oracle Launches Fusion Agentic Applications and Expands AI Agent Studio to Operationalize Enterprise Workflows
Oracle's launch of Fusion Agentic Applications marks a significant evolution in ERP, embedding AI agents directly within its cloud applications to facilitate outcome-driven execution and seamless integration with existing business processes.
Oracle Database
Analytics and AI
Oracle March Update Embeds Smarter AI Agents Into Analytics Cloud
Oracle's March 2026 update for Oracle Analytics Cloud introduces AI Data Agents to enhance decision-making by integrating enterprise data with user-friendly analytics, reducing the time from data inquiry to actionable insights and improving the consistency of KPIs across organizations.
Analytics and AI
Agentic AI Operating Models are Redefining Supply Chain Design
As supply chains experience growing disruptions, leading organizations are adopting agentic AI operating models that autonomously optimize operations and react to real-time events while necessitating governance to address challenges like data accuracy and security.
Oracle Database@Google Cloud
Analytics and AI
Oracle Beats Estimates as AI Cloud Demand Surges, Lifts 2027 Revenue Outlook to $90B
Oracle's shares surged 10% after reporting strong fiscal third-quarter results, with higher-than-expected earnings and revenue driven by cloud and AI infrastructure demand, while also raising its 2027 revenue outlook amid significant new contracts and a plan to expand its data center capacity.
Analytics and AI
AI Assistants Are Emerging as the Control Layer for Autonomous Supply Chains
AI-powered assistants are revolutionizing supply chains by enhancing data accessibility, responsiveness, and execution speed, with organizations investing in these tools experiencing significant operational and financial benefits.
Cloud Platform and Technology
US Air Force Awards Oracle $88M to Expand Cloud One Modernization with OCI, AI Database
The US Department of the Air Force has awarded Oracle an $88 million task order to provide Oracle Cloud Infrastructure services, enhancing cloud modernization efforts and expanding access to AI-enabled database capabilities in classified environments.
a-red-bull-racing-car-on-a-race-track-Oracle Red Bull Racing partnership
Cloud Platform and Technology
Oracle Red Bull Racing Partnership with Oracle Extended to Power AI-Driven F1 Performance
Oracle and Oracle Red Bull Racing have extended their title partnership, deepening the use of cloud infrastructure, AI, and enterprise applications ahead of Formula 1’s 2026 regulatory shift.
Analytics and AI
Agentic AI Signals a Shift to New Enterprise Operating Model
The rise of agentic AI is compelling executives to reassess whether AI merely enhances existing operations or fundamentally transforms their business models.
Analytics and AI
Data Sovereignty, Latency, Trust: Why ERP AI Cannot Live in the Public Cloud Alone
As AI integrates into ERP workflows, the need for robust governance, data residency, and operational control is rising, leading organizations to seek infrastructure strategies that ensure consistency and reliability in the face of regulatory demands.
Analytics and AI
Oracle AI Agents Improve Efficiency, Resiliency for Supply Chain Leaders
Oracle has introduced AI agents within its Fusion Cloud Applications to streamline supply chain decision-making and efficiency by automating workflows and providing actionable insights.
Analytics and AI
Why AI-Ready ERP Depends on Industrial-Scale Cloud Infrastructure
As enterprise software enters a new AI era, the focus shifts from the efficacy of AI models to the reliability and scalability of ERP infrastructure, with companies like Oracle emphasizing the importance of robust, unified data foundations to ensure consistent performance in business operations.
Oracle Database
Analytics and AI
Oracle AI Database 26ai Brings Enterprise AI to On-Premises Deployments
Oracle's release of AI Database 26ai Enterprise Edition for on-premises Linux x86-64 platforms brings AI vector search, quantum-resistant encryption, and autonomous database features to facilitate data sovereignty and regulatory compliance.
A woman in a lab with test tubes
Analytics and AI
Oracle Targets Research Data Fragmentation with New AI Platform
Oracle has introduced the Life Sciences AI Data Platform, a cloud-native offering designed to unify clinical and research datasets, integrate with Fusion applications, and support analytics across the research lifecycle.
Oracle Database@Google Cloud
Analytics and AI
Oracle Showcases Sovereign HR Analytics, AI-Driven Finance Automation with e& and Avis Partnerships
Oracle's deployments at e& and Avis Budget Group demonstrate its Fusion AI Data Platform and Fusion Cloud ERP/EPM as key drivers for integrating AI, analytics, and cloud infrastructure in HR analytics and finance automation, respectively, emphasizing the shift from traditional analytics to embedded AI in core workflows.
Analytics and AI
Public Sector ERP and AI Are Running on Two Clocks: Will That Gap Become a Strategic Risk?
Public sector technology strategy is conflicted by the slow, methodical pace of legacy system modernization, exemplified by the UK's Defence and Bank of England initiatives, contrasted with the rapid, high-profile push for AI and advanced computing, leading to a widening gap between ambition and execution.
Analytics and AI
Oracle AI World’s IBM Sessions: What Enterprises Must Build Before AI Can Deliver
At Oracle AI World, IBM emphasized that successful AI adoption in enterprises relies not on flashy models but on robust foundational preparations, governance, and aligned business processes, showcasing that scalable AI implementations require clean data and integrated workflows.
Analytics and AI
Year in Review: Testing, Transformation, and the Race to AI-Ready ERP in 2025
In 2025, the conversation around cloud migration shifted from why to how. According to SAPinsider’s 2025 research report on SAP S/4HANA deployment, for instance, 31% of the organizations who responded to the survey have transitioned to SAP S/4HANA, while another 27% are in implementation. Additionally, 54% of respondents said they plan to incorporate AI or...
Unit4 and Pragmatic AI
Analytics and AI
IBM Brings Three New AI Agents to Oracle Fusion Applications AI Agent Marketplace
IBM's introduction of three new AI agents built with Oracle AI Agent Studio enhances efficiency for Oracle Fusion customers, automating tasks in finance, sales, and procurement while paving the way for future HR and supply chain agents.
Human Capital Management
SAP, Oracle Lead the Charge as AI-Driven Performance Management Market Targets USD 6.33B by 2030
The employee performance management market is expected to grow from $3.52 billion in 2025 to $6.33 billion by 2030, driven by a shift towards continuous, analytics-enabled performance cycles embraced by major firms like Adobe and Microsoft, with AI-centric platforms at the core, as organizations increasingly link performance to skills-based talent strategies and digital transformation efforts.
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