- Welcome to ICEB'26
News
- Download ICEB 2026 Poster
- Download ICEB 2026 Event Photos

Home
- ICEB Home
- ICEB officers
- J. Business & Management
- Prior conferences
- Prior proceedings books
- Top monthly downloads
- Scopus / Ei Compendex accession numbers of ICEB proceedings papers
- ICEB Publication policy
- ICEB annual member lists
- Contact us

About ICEB'26
- Welcome to ICEB'26
- Beihang University, Beijing, China
- Call for papers
- Call for tracks
- Keynote speakers
- Doctoral Consortium
- Workshops & Panels
- Conference tracks
- Important dates
- Committees 
- Editorial Board
- Sponsoring journals
- Conference sponsors

Registration
- Registration guidelines
- Privacy policy

Payment Gateways
- For registration fee
- For publication fee

Program schedule
- Conference program
- Preliminary Program Book
- Best Paper Awards
- Workshops & Panels
- Enter 2026 VooV meetings

Initial submission
(in PDF)
- Initial submission guidelines
- Initial submission template
- Initial paper submission

Post-acceptance submission
(in DOCX)
- Post-acceptance submission
- Important Notes for Authors of Accepted Papers

Post-conference submission
(in DOCX)
- Final submission guidelines
- APA Citation reference styles
- Camera-ready template
- Final submission checklist

Travel information
- Visa information
- Conference Venue & Transportation
- Hotel information
- ICEB Home


Workshop2:From Recording to Execution: Leading business with SAP Autonomous Enterprise

Workshop Overview

Hosted by: SAP China
Location: Beijing, China (Beihang University)
Date: July 17, 2026


Workshop Co-chairs



Wang Nan

SAP Cloud Architect

Co-chair Bio
Wang Nan is an SAP Cloud Architect focusing on SAP BTP, AI and cloud innovation. He serves as a trusted advisor for global enterprises, promoting digital transformation via scalable architectures and intelligent solutions. He is expert in cloud-native development, data integration and AI-driven business scenarios. He devotes himself to connecting business demands with cutting-edge technologies to tap potential value and boost innovation. He has rich experience in providing full-cycle support for clients from strategy formulation to project implementation, delivering practical results and facilitating the construction of intelligent enterprises.




Tang Xian (Joanna Tang)

SAP Solution Advisor Specialist

Co-chair Bio
Joanna Tang is an SAP Solution Advisor Specialist, mainly engaged in cloud security of SAP Cloud ERP and SAP Cloud ERP Private, cloud system compliance as well as AI-related solutions. She has profound professional knowledge in cloud security governance, regulatory compliance, cross-border data policies and AI-enabled business implementation. She is committed to matching business requirements with advanced cloud and AI technologies to create substantial business value. With solid experience in full-cycle consulting and project delivery, she helps enterprises build secure, compliant and intelligent enterprise systems.


Brief Introduction

SAP has ushered in a new phase of its AI strategy, shifting from scattered AI trials to large-scale enterprise AI implementation. The core concept is the Autonomous Enterprise, a human-led and AI-powered operation model. In this model, humans set overall directions, while AI automates end-to-end workflows covering finance, supply chain, procurement, human capital management and customer experience, ensuring humans retain control over critical decisions. The Autonomous Enterprise is not a single product, but a long-term development vision supported by interconnected end-to-end multi-layer architecture. Different from ordinary AI platforms, SAP boasts three unique enterprise-level advantages: profound process and industry expertise accumulated from decades of business applications, semantically rich business data that enables AI to adapt to real business scenarios, and complete enterprise-level governance mechanism to guarantee AI can be applied, audited and supervised in actual business operations.


Workshop Arrangement

  1. SAP AI Strategy, AI features & capabilities (around 30 minutes)
  2. Practical operation: AI application cases based on Business AI Platform and Business Data Cloud (40-50 minutes)
  3. Q&A session


page top | Copyright 2026