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Oracle + IBM

Accelerate your journey to Oracle Cloud and transform with IBM's cognitive and automation solutions, tailored by industry and business process domain.
Featured Products
  • Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials
    Mastering Data Readiness for Generative AI Success
    In today’s AI-driven landscape, businesses struggle with data readiness—poor quality, limited volume, and ethical constraints threaten the success of generative AI initiatives. In addition, questions are frequently asked about improving data quality, what to do with limited data volume, and how to address ethical constraints that threaten the success of generative AI initiatives. This session will explore why these challenges can lead to biased, inaccurate, or outdated outputs that erode customer trust and ROI. By attending this session, you will: Learn strategies to ensure high-quality, diverse datasets that power reliable AI outcomes. Discover how to streamline preprocessing, scale infrastructure, and maintain current data in a compliant way. Leave with insights to transform your data into a competitive edge for Generative AI innovation.
  • Oracle + IBM power HS2 into the fast lane
    HS2 is implementing a comprehensive Oracle ERP Cloud solution to support its ambitious £55bn infrastructure project, aiming to enhance operational efficiency and data integration while addressing the complexities of managing a long-term, large-scale initiative.
  • migration
    How Oracle + IBM excel at enterprise cloud migrations
    Over the years, IBM and Oracle have competed on several fronts. They’ve also nurtured a close alliance since the early 1980s. Setting the bar for 'co-opetition', here's how the relationship was born.
Featured Content
Multimedia Center
  • AI-First Monetization and Zuora
    From Orchard to Aisle: How Pacific Coast Producers Transformed Warehouse Operations with Oracle Cloud WMS 
    Watch Pacific Coast Producers (PCP) and IBM for an in-depth look at PCP’s transformative journey to Oracle Cloud Warehouse Management System (WMS). Discover how this agricultural cooperative, rooted in over 150 family farms, modernized its 1.5 million sq. ft. distribution center and six processing plants. Learn how strategic partnerships, custom Oracle PaaS extensions, and a disciplined project approach enabled seamless automation, enhanced security, and operational continuity. Gain insights into key success factors—from vendor selection to go-live execution—and explore how PCP’s phased implementation is driving innovation, efficiency, and resilience across its supply chain. Watch Now to explore: - Why Pacific Coast Producers selected Oracle WMS Cloud after a rigorous vendor evaluation - How IBM Accelalpha’s implementation expertise enabled a seamless transition across multiple sites - The project governance, scope control, and risk mitigation strategies that kept the project on budget and on track - Lessons learned and keys to success from the CIO leading the transformation - What’s next in PCP’s digital journey, from continuous improvement to advanced automation initiatives Discover how strong partnerships, disciplined project management, and the right technology can turn transformation into tangible results—helping an iconic food producer move products from farm to shelf faster, safer, and smarter.
  • Unit4 and Pragmatic AI
    Boost ROI with Agentic AI: Unlocking Business Value with IBM and Oracle
    AI adoption has reached a tipping point—but stand-alone models can only take you so far. True transformation requires Agentic AI, where intelligent agents orchestrate tasks across business processes, freeing up teams to focus on strategy and innovation. In this webinar on-demand, IBM and Oracle experts showcase how Agentic AI delivers scalable, accurate, and business-tailored outcomes across finance, supply chain, procurement and human resources. Drawing from insights and collaboration with clients at our Innovation Studio and client value accelerators, we explore: - Why point solutions and isolated models fall short of enterprise needs - How Agentic automation can significantly reduce manual work and accelerate time-to-value - What are the core factors that make or break an Agentic success story - Real-world examples of Agentic AI in action across Oracle Cloud solutions Watch now to see how IBM and Oracle’s collaborative approach helps organizations embed AI into their transformation journey—driving measurable ROI, efficiency, and competitive advantage.
Articles / Case Studies / Videos
  • Oracle AI World Tour
    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.
  • IBM Client Zero on Oracle: A Blueprint for Enterprise AI at Scale
    Webinar on demand  Enterprises are investing heavily in AI but are struggling to move beyond pilots, redesign work, and prove ROI on Oracle platforms. This webinar shows how to operationalize AI using IBM’s Client Zero experience and Oracle technology as...
  • 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.
  • Unlocking Dynamic, AI‑Enabled Finance: IBV Insights on Building a Value‑Based Operating Model
    Most organizations are still making critical business decisions on top of rigid planning cycles, fragmented data, and limited AI adoption—slowing their response to disruption and constraining innovation before it starts. Drawing on new IBM Institute for Business Value (IBV) research, this session explores how finance leaders can break through those structural barriers by modernizing their operating model and establishing a connected, AI-enabled finance backbone. You will see how integrated data platforms and AI-powered forecasting can sharpen decision speed, strengthen governance, and position finance as the function guiding capital to its highest-value opportunities across the enterprise. We will walk through a practical roadmap for shifting to a dynamic, value-based finance operating model—one that aligns finance with enterprise decision bodies and elevates finance talent into true strategic partners. Using IBV findings alongside real-world practices, we will show how embedded AI, adaptive planning cadences, and agile budgeting models work together to deliver more accurate forecasts, more effective capital allocation, and faster transformation outcomes. You will leave with concrete steps to evaluate your organization's current maturity and build an execution plan that balances speed, trust, and control. Why Watch - IBV research findings reveal why traditional planning and finance structures are holding back decision speed, innovation, and AI adoption at scale - A practical blueprint for a dynamic, value-based finance operating model built on integrated data platforms and AI-enabled planning - How leading organizations are applying AI-powered forecasting and scenario modeling to improve forecast accuracy and accelerate capital deployment - Actionable guidance to assess your finance organization's maturity and prioritize near-term moves toward an AI-enabled finance backbone
  • 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.
  • 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.
  • 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.
  • 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.
  • Unit4 and Pragmatic 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.
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