As organizations pivot toward becoming "intelligent enterprises," Enterprise Architects are at the forefront of AI-driven transformation. This session addresses the challenge of integrating AI capabilities—not as isolated features, but as foundational elements—across the enterprise technology stack to create truly adaptive and responsive business environments. You’ll learn how to embed AI across architecture layers using SAP tools like Joule, Knowledge Graphs, and Business AI — enabling adaptive, intelligent enterprises ready for the next wave of innovation.

Learn how to:

• Embed AI across enterprise layers using SAP tools.
• Develop resilient, flexible architectural blueprints that accommodate continuous AI innovation and future technological shifts.
• See real-world use cases driving AI-first transformation.

This peer-led session tears up the conventional career ladder and offers an authentic look at the diverse and often unexpected routes professionals have taken to reach the architect and enterprise architect chairs and beyond. Join us for a collaborative forum where established architects open up about their personal career trajectories—the pivotal moments, the unexpected detours, key mentors, and the skills that truly made a difference. This is an interactive discussion where every attendee is invited to share their own experiences and insights. Whether you’re an aspiring architect planning your next move or a seasoned enterprise architect charting your future path, this session offers invaluable collective wisdom and networking opportunities to help define your professional journey.

You will:

• Learn from candid accounts of how peers navigated their way from developer, engineer, or analyst roles into senior architectural positions.
• Contribute your own experiences, challenges, and advice in a supportive, peer-to-peer environment.
• Discuss potential future career avenues, emerging roles for architects, and the evolving skill sets needed for long-term relevance.

This interactive workshop moves beyond traditional presentations to focus on practical, peer-driven problem solving for today’s most pressing architectural challenges. Bring your own real-world architectural challenges and questions – whether it's a nagging technical debt issue, a tricky integration problem, or a strategy for aligning a technical solution with broader business goals - or just join in on the discussions to help others. Come prepared to collaborate, challenge assumptions, and leave with concrete ideas and a fresh perspective on your toughest architectural hurdles.

You will:

• Exchange practical knowledge and experiences with peers in a trusted environment.
• Brainstorm and develop actionable strategies to solve complex architectural problems.
• Identify decision criteria for addressing technical debt while keeping transformation programs on track.
• Understand how enterprise architecture choices support business priorities, governance models, and long-term platform strategy.

In this interactive workshop, you will work in a small group to build a clear and defensible business case for an SAP S/4HANA transformation. You will walk through the core components of an effective case, including scope decisions, deployment models, cloud incentives, cost categories, risk factors, readiness gaps, and expected outcomes. The facilitator provides practical prompts to help you evaluate subscription models, key contract terms, and the operational impacts of different choices. The session concludes with a concise board readout, giving you practical experience communicating value, justifying decisions, and framing the transformation in strategic, outcome-driven terms.

As enterprises accelerate their transformation journeys, the role of the SAP Enterprise Architect is rapidly evolving; from maintaining system integrity to enabling innovation at scale. This session explores how to unlock agility, extensibility, and intelligence across the enterprise without compromising the clean core. Through real-world design patterns, we’ll examine how to leverage SAP BTP, composable architecture principles, and AI-enablement including SAP Joule to architect resilient, future-ready systems. You’ll gain practical insights into balancing side-by-side extensibility with on-stack stability, embedding automation into business processes, and enforcing innovation guardrails that scale. Whether you're navigating RISE with SAP, enabling modular business capabilities, or shaping your enterprise AI strategy, this session offers a blueprint for advancing the enterprise while staying grounded in architectural discipline.

Key Takeaways:

• Frameworks for clean core extensibility and composable architecture.
• Use cases for embedding agentic AI, SAP Build, and automation in business workflows.
• Strategies for governing innovation without slowing it down.
• Integration design patterns for hybrid, event-driven, and cross-platform ecosystems.

The reality of managing data across disparate systems often results in a fragmented, siloed data landscape that hinders agility and decision-making. This session presents a detailed case study of Dodge Industrial’s comprehensive data integration journey, offering practical insights into how we transitioned from significant data disconnection to a harmonized, integrated environment with Datasphere at the center. We’ll discuss our scenario before the integration project, detailing pain points, data quality issues, and inefficiencies we faced. Then we’ll walk through the project and share with you how we arrived at our current state and lessons learned along the way.

You’ll get:

• A transparent review of the critical choices we made along the way.
• Key takeaways from our experience connecting various non-SAP data sources (Snowflake, Salesforce, MS SQL Server, SharePoint, etc.).
• How we stitched it all together - the approach we used to create a unified data fabric.
• Actionable insight into enabling bi-directional data feeds.
• Insight into the specific integration platforms, ETL tools, and middleware that enabled our solution.

Modern business demands faster delivery, reliable data, and the ability to adapt without disruption. In this session, see how Eneco modernized SAP integration by replacing traditional interfaces and ABAP proxies with standard APIs and event-driven connectivity in SAP S/4HANA to accelerate innovation, reduce manual effort and integration complexity, and improve operational reliability. Learn the architectural decisions, governance practices, and lessons that enabled these results, and take away guidance to simplify integration and scale performance across your SAP landscape.

Get practical insights from Woodstream’s enterprise-wide SAP Cloud ALM rollout, including how they tied it directly into their SAP S/4HANA program for smoother execution across all workstreams. Discover how the team set up lifecycle management early to support testing, integration oversight, and clean-core discipline during a complex transformation. Hear how they navigated challenges with adoption, coordination, and visibility as they introduced new processes and tools across the organization. Learn which parts of their approach delivered the greatest impact and how those insights can guide your own ALM planning and execution.

Hear how the senior leadership team at Eugene Water & Electric Board (EWEB) guided an SAP modernization initiative that brought SAP S/4HANA, SAP Service Cloud, SAP Business Technology Platform, Fiori UX, and a new customer portal live in a single coordinated deployment. Learn how they aligned business and IT around a shared vision; structured project teams and decision rights across functional leads, IT, and system integrators; and used a disciplined change management model with regular leadership engagement to keep people, processes, and technology in sync. Find out why they chose to implement multiple capabilities at once, how that decision shaped their target-state architecture and future platform plans, and what outcomes they achieved, so you can apply similar practices to your own SAP modernization initiative.

Key Takeaways:

• Real-world strategies for aligning business and IT around a shared modernization vision.
• Insights on how to keep people, processes, and technology in sync through a disciplined change management model.
• An understanding of how key decisions shaped architecture and future platform plans.

Join us for an insightful customer story detailing our complex SAP S/4HANA migration that initiated our enterprise-wide digital transformation. This session will dive into the architectural decisions that enabled the deployment of the new digital core with both cloud-based (SAP Sales Cloud, SAP BTP) and critical on-premises systems. We’ll share critical lessons learned about the practical hurdles faced, from managing a complex legacy landscape with third-party integrations to the decisions we had to make around master data governance. Understand the ‘what and the why’ of our architectural design, what we got right, what we might do differently next time, and how we delivered a scalable platform for continuous innovation that meets the needs of the business and positions our company for the future.

Key takeaways:

• Insight into the architectural decisions around the deployment of both cloud and on-prem systems.
• The key architectural decisions we had to make and the outcomes from those decisions.
• Lessons learned from what we got right and what we’d do differently next time.

What does it take to successfully adopt SAP Cloud ERP Private as part of an enterprise modernization journey? In this candid customer panel, business and IT leaders from Kyocera, Naturipe Farms, and Woodstream share insights on what worked, what didn’t, and what they’d do differently. Get practical guidance to strengthen program governance, manage RISE service tickets effectively, resolve issues before they escalate, and use SAP Cloud ALM insights to support performance and business continuity as your environment evolves. Come away with the clarity and confidence to make informed decisions, reduce risk, and drive lasting business impact from cloud ERP.

CIOs and CFOs are capital allocators – they have a finite budget and multiple demands for transformation, innovation, and keeping things running. Businesses are looking to start their Transformation journeys but are facing significant budget challenges in initiating critical large projects like S/4HANA, Cloud migration, re-defining supply chains, and improving customer experiences. Technology rationalization can help organizations free up budget by identifying and eliminating redundant, dated, or underutilized tech. components. In this session, you will understand how you can conduct a successful application rationalization program in a structured manner and maximize value from your IT investments. We will cover how to identify candidates for rationalization, how to unearth shadow IT, using LeanIX to do application rationalization, and a clear 4-week action plan for the attendees to take back.

Key Takeaways:

• Expert insight into the budget challenges facing leaders on critical large projects.
• Critical advice for maximizing value from your IT investments.
• A 4-week action plan for technology rationalization.

This hands-on lab guides attendees through building a Retrieval-Augmented Generation (RAG) scenario using SAP HANA Vector Engine to ground generative AI responses in trusted enterprise data. Participants will work through a guided, end-to-end exercise that demonstrates how semantic search and vector-based retrieval improve accuracy, relevance, and explainability for AI-driven applications.

By attending, you will learn how to:

• Prepare and store vector embeddings in SAP HANA Vector Engine.
• Perform semantic search to retrieve contextually relevant enterprise data.
• Connect retrieved results to a generative AI workflow using RAG patterns.
• Evaluate how grounding improves response quality, trust, and usability in business scenarios.

This lab emphasizes practical implementation and leaves participants with a working RAG prototype they can adapt to real-world use cases across analytics, operations, and application development.

Designed for data engineers and architects, this hands-on session demonstrates how SAP Business Data Cloud enables the connection, integration, and transformation of SAP and non-SAP data, while preserving business context across analytics and AI workloads.

Unlike traditional on-premise environments, the cloud demands rapid decision-making, proactive change management, and cross-functional collaboration. Mission: Cloud Command, a high-energy, escape room-style experience, prepares you for these changes by putting you in the command center of your cloud transformation journey. Designed to simulate real-world business scenarios that mirror the complexities of moving to the cloud, this interactive experience will test your ability to collaborate, strategize, and make critical decisions under pressure. You’ll come away with the confidence, clarity, and connections needed to drive an effective cloud transformation forward.

The difference between isolated pilots and sustainable AI at scale lies in the foundational architecture that supports data, governance, platforms, and operating models. In this deep-dive session, we explore how to architect an AI-enabled organization, with practical, hands-on architecture design. The session will begin with a concise overview of AI foundations, covering key AI building blocks such as model lifecycles, inference patterns, orchestration, observability, and responsible AI considerations. We then dive into key data concepts like modern data platforms, data products, metadata, data quality, lineage, and governance patterns required to reliably fuel AI workloads. Finally, the we’ll break into small groups to work through a real-world AI and Data architecture use case, using a provided case study and architecture toolkit. Each group will design a fit-for-purpose target architecture, making trade-offs across data platforms, AI services, integration patterns, governance, and scalability.

Key Takeaways:

• Understand the core architectural foundations required to operationalize AI at scale.
• Understand how data architecture and AI architecture must evolve together.
• Gain hands-on experience designing an enterprise-grade AI + Data architecture.

This session draws from SAPinsider’s latest SAP ERP Deployment Research Report and provides clear, data-driven benchmarks to help organizations assess their SAP ERP deployment strategy. Learn how peers are structuring SAP landscapes across on-premise, hybrid, and cloud environments, and how adoption patterns for SAP S/4HANA, SAP S/4HANA Cloud, SAP BTP, and integration platforms differ by maturity level. Use benchmark data to understand where your organization stands today and how others are prioritizing governance, security, modernization, and readiness for AI-driven innovation. Come away with practical insights to validate current decisions and identify informed next steps for evolving SAP architecture with confidence.

Strap in for a journey through the vast, often chaotic universe of Enterprise Data Architecture. In this session, we’ll demystify core architectural principles that every organization must grasp to navigate data complexity at scale. 

From legacy gravity wells to cloud-native wormholes, we’ll explore the real-world patterns and learn how to design resilient data architecture that evolves with your business - not against it. We will weave together stories and characters from Douglas Adam’s book ‘The Hitchhiker’s guide to the galaxy’ and cover topics that are top of the mind for SAP customers like navigating BW modernization and maximizing the value from their business data with AI and ML.  Get ready for the for the ride!

In this session, you will:

• Discover core architectural principles essential for navigating data complexity at scale in today’s enterprise environments.
• Learn how to build resilient data architectures that adapt and evolve with your business instead of working against it.
• Gain practical insights from real-world SAP use cases on legacy modernization, cloud-native design, and future-ready data platforms.
• Explore how to maximize business value from data by integrating AI and ML into your enterprise data architecture strategy.