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.

Learn how Team Liquid is unlocking AI-driven analytics using SAP Business AI on SAP BTP with SAP AI Core and SAP HANA Cloud to support real-time competitive decision-making. Understand how large volumes of historical match data are used to train models, creating a scalable foundation for AI-driven insight generation. Explore how Team Liquid designed AI agents in Joule that translate natural-language questions into repeatable analytical workflows across historical match data. Gain insight into the company's plans to extend Joule-based AI agents and what this reveals about scaling AI use cases beyond initial deployments.

As American Industrial Transport (AITX) evaluated its path to the cloud, leadership needed a clear, data-backed way to assess options and justify a potential move forward. In this session, learn how AITX used SAP Signavio process intelligence and AI-driven analysis to uncover inefficiencies, quantify value opportunities, and replace assumptions with objective insight. Hear how those findings were translated into a business case that aligned stakeholders, prioritized investments, and supported informed decision-making around cloud ERP and RISE with SAP. Attendees will come away with practical guidance for using process data to evaluate cloud transformation options and structure more effective executive-level discussions.

Join us as we explore how KPMG leverages Joule for Consultants (J4C) to help drive transformative success. As a major user of J4C, KPMG enhances its consulting services by streamlining processes and optimizing resources. This session will provide insights into J4C's impact on boosting agility and efficiency, showcasing real-world applications that empower speed to value within cloud transformation. Discover how J4C can be your catalyst for innovation and rapid organizational change.

This session offers guided instruction for leveraging AI to improve task efficiency and reduce user friction in SAP Fiori apps. Understand how AI can be applied to simplify information access, guide users through core workflows, and support faster, more confident decision-making in everyday scenarios, including My Home. Attendees will leave with practical design principles for using AI to improve usability, accelerate onboarding, and create SAP Fiori experiences that are easier for users to adopt and navigate.

AI is everywhere, including your SAP solutions.  Line of Business leaders are under pressure to deliver business results and leverage AI.  Hear from customers who have implemented unique and innovative AI business use cases including Embedded AI in SAP Cloud solutions, and custom AI use cases leveraging BTP.  This session will be informative for organizations that are moving forward with SAP AI, deciding on their SAP AI strategy, or even live with a few SAP AI use cases and looking for what’s next for their innovation journey. 

Questions this session can help answer include:

• How did these customers work with their business to identify AI use cases?
• What were the immediate benefits from their innovative implementation?
• What best practices were considered as part of their program?
• What’s next on these customers’ innovation road maps?

This session explores how to leverage SAP AI Core and SAP BTP to enhance analytics and intelligence within your SAP S/4HANA landscape. Walk through a live demo to see how to build and operationalize machine learning models using tools like Python and R on SAP HANA data. Get actionable insights to integrate these models into operational workflows to enable intelligent automation, support smarter decision-making, and drive continuous improvement across your SAP S/4HANA environment.

Understand how integration plays a critical role in enabling AI-driven innovation across SAP landscapes. Learn how timely access to business data supports AI use cases such as intelligent automation, real-time insights, and responsive decision-making. Review practical scenarios that illustrate how data latency, connectivity, and execution choices influence the effectiveness of AI outcomes. Walk away with guidance on how to design integration approaches that allow AI initiatives to scale while maintaining control and simplicity across SAP environments.

Step through a series of live demos for insight into how Joule helps users work faster and smarter by streamlining tasks across the SAP portfolio. Explore practical ways to use SAP’s generative AI copilot across common business scenarios, from navigating data and triggering actions to accelerating day-to-day workflows. You’ll leave with a clear understanding of how to get started, what skills or governance considerations to keep in mind, and how to drive real value from Joule in your SAP environment.

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 examines what it takes to move AI from early prototypes through pilots and into scalable, measurable business value across SAP environments. Attendees will learn how organizations assess which early ideas are worth advancing, sequence AI initiatives as maturity increases, and establish clear ownership as solutions move into live operations. Explore where organizations are seeing the strongest returns today, what differentiates high-impact initiatives from stalled efforts, and how adoption, trust, and governance shape AI outcomes at each stage. Gain practical insight into applying guardrails, managing risk as AI scales, and building the business case for continued investment using results that resonate with both technical and business stakeholders. Walk away with a clearer, end-to-end understanding of how to progress AI initiatives from experimentation to sustained enterprise value.

SAP Joule is quickly becoming a core part of SAP’s AI strategy, yet many customers remain unclear on what Joule is designed to do, where it fits within the SAP landscape, and which teams it is intended to support. The session examines where Joule is embedded across SAP applications today, how it supports insight and action without replacing existing tools or roles, and how platform capabilities on SAP BTP enable extension, control, and governance. Attendees will get a clear understanding of who Joule is for, what it enables out of the box, what requires deeper technical engagement, and how to evaluate its relevance for their organization.

Learn how to: 

• Define what SAP Joule does and does not do, including how it differs from analytics tools, workflow engines, and traditional automation.
• Identify which Joule components are relevant to business users, IT teams, developers, and consultants.
• Differentiate how embedded Joule experiences, Joule for Developers, and Joule Studio are used in practice based on role, responsibility, and depth of engagement.
• Evaluate where SAP BTP capabilities, including extensibility and orchestration, become necessary to move beyond standard Joule usage.

Are you trying to understand where AI fits in SAP’s product portfolio or how to get started with it in a practical way? If so, attend this session for an overview of AI-enabled features and generative capabilities embedded in SAP cloud applications along with guidance to incorporate them into current and future initiatives. Gain insight into current capabilities and upcoming innovations to understand how they will influence your process design, integration approach, and required skills. Come away with actionable guidance to move your AI journey forward, including tips to evaluate use cases, prepare your landscape, and structure your adoption approach for measurable outcomes.

AI is rapidly shifting from experimentation to a core driver of ERP strategy, influencing how organizations think about cloud adoption, modernization priorities, and long-term platform decisions. This session shares the latest SAPinsider research findings on AI adoption and readiness patterns across the SAP customer community and unpacks how these trends are informing decisions about ERP timing, scope, and investment priorities. Hear how your peers are aligning transformation decisions with Generative AI ambitions, and why access to embedded AI capabilities is becoming a factor in strategic planning rather than a downstream benefit. Come away with a framework for assessing how prepared your ERP strategy is to support AI and where action is needed to move from interest to impact.

SAP Business Data Cloud provides the trusted data foundation required for enterprise AI. In this session, you’ll learn how SAP brings together governed data products, the SAP Knowledge Graph, and SAP Databricks to enable AI use cases for end-to-end business processes.

Delve into the SAP BTP services available to build custom AI agents and AI-powered applications using enterprise business data, from platform capabilities to activation paths and typical usage patterns.

By attending this session, you will learn how to: 

• Use SAP BTP services to enable agents and intelligent application behavior.
• Ground AI scenarios in SAP business data using SAP HANA Cloud and SAP Datasphere.
• Determine when to use Joule Studio, SAP AI Core, and supporting BTP services.
• Position AI capabilities within a broader SAP BTP strategy.