Agenda in progress — new sessions and speakers are being added daily. Check back often.
New for 2026
PRE-CONFERENCE (DAY 0) · 16 NOVEMBER
Pre-Conference Day — Included with Your Pass
Our Pre-Conference (Day 0) is a focused experience for teams who want to dig deeper before the main conference begins — with hands‑on labs, working sessions, and structured time with SAP experts. Programming will be announced as it's confirmed.
Built from real-world SAP customer priorities, each track examines the decisions SAP teams are making before, during, and after S/4HANA and cloud ERP transformation — across AI, architecture, integration, security, finance, data, and application development.
Track 1
SAP S/4HANA & Cloud ERP
Compare migration paths, evaluate RISE and GROW, make clean core and partner decisions, and sustain adoption and measurable value after cutover.
For leaders defining migration approach, deployment, and post-go-live value.
Greenfield, brownfield & SDT migration paths
RISE, GROW & deployment-model evaluation
Clean core, fit-to-standard, and extensibility tradeoffs
AI-assisted ECC-to-cloud migration tooling
System integrator, partner, and accelerator selection
Post-go-live adoption, release governance, and value tracking
Scale Joule, agentic workflows, and embedded AI across SAP and non-SAP environments with the architecture, governance, and operating models that make it real.
For AI, BTP, and platform leaders moving SAP AI from pilot to production.
Moving AI from pilot to production with measurable ROI
Joule, Joule Studio, and embedded AI across SAP applications
Agentic AI for multi-step, autonomous business processes
Custom AI agents on SAP BTP AI Foundation and AI Core
Responsible AI: governance, risk, ethics, and trust
Choosing the right AI platform mix across SAP, Microsoft, and partners
Decide what belongs in SAP, non-SAP, partner, or AI-agent layers — and align process, application, and operating models so AI-enabled transformation improves outcomes instead of adding complexity.
For enterprise architects and application leaders defining target-state architecture.
Target-state architecture for AI-enabled business operations
Clean core as an architecture and governance principle
Capability modeling across SAP, non-SAP, and partner apps
Application portfolio simplification across hybrid landscapes
Using SAP LeanIX and SAP Signavio for transformation planning
Architecture governance for AI agents and assistants
Design integration and operating models for clean core, reliable APIs, event-driven processes, agent-based workflows, observability, and cost control across SAP and non-SAP.
For SAP BTP, integration, and operations teams running modern SAP landscapes.
SAP BTP strategy before, during, and after S/4HANA transformation
SAP Integration Suite modernization for AI-ready APIs and events
Custom code remediation and AI-assisted code migration
SAP Cloud ALM, DevOps, CI/CD, and release readiness
Operating AI-enabled landscapes: runtime, agents, and cost control
Observability, monitoring, and incident response for SAP operations
Govern a new reality where employees, AI assistants, agents, APIs, and SAP and non-SAP applications all interact across critical business processes — without slowing transformation down.
For CISOs, SAP security architects, GRC, and risk leaders.
Holistic SAP security across cloud, hybrid, and on-premise
Zero trust for SAP applications, integrations, and users
Identity, access, PAM, and SoD across S/4HANA, BTP, and hybrid
AI governance and responsible AI for Joule and agentic workflows
Enterprise AI-agent governance: inventory, approval, and lifecycle
Continuous controls monitoring and digital audit readiness
Modernize close, planning, reporting, treasury, tax, AR/AP, and controls — while deciding how AI assistants and agents should work across SAP and non-SAP finance.
For CFOs, controllers, FP&A, treasury, and financial systems leaders.
S/4HANA Finance transformation across cloud and hybrid
Building an AI-first finance roadmap with realistic milestones
Period-end close acceleration and audit-ready automation
FP&A modernization with SAP Analytics Cloud and Business Data Cloud
Turn fragmented SAP and enterprise data into reliable insight, planning inputs, and AI-ready context — the foundation that makes Joule, GenAI, and agentic workflows trustworthy.
For CDOs, data engineers, BI leaders, and Datasphere/BW owners.
SAP Business Data Cloud strategy and roadmap
Business data fabric across SAP and non-SAP environments
AI-ready data foundations: lineage, semantics, and process context
Modernizing SAP BW and legacy analytics
Hyperscaler and multi-cloud data with Databricks, Microsoft Fabric
Self-service analytics and GenAI insights on governed semantic models
Build upgrade-safe extensions, accelerate delivery with AI, modernize legacy custom code, govern integrations and intelligent agents, and reduce technical debt across SAP BTP and SAP Cloud ERP.
For SAP developers, architects, and technical leaders building on modern SAP.
Building and governing custom agents with Joule Studio
Clean core decisions: standardize, extend, redesign, retire, or reject
Modern SAP development with ABAP Cloud and released APIs
Custom code modernization and technical debt reduction
AI-assisted development, testing, documentation, and migration
DevOps for SAP: CI/CD, release automation, and SAP Cloud ALM
