AI and Digital Intelligence for Business(Modular)
Start Date / Venue:
Afternoon, October 30, 2025 / Shanghai, Beijing, Shenzhen
Participants
Digital and intelligent transformation should be a meticulously planned process that requires alignment among top decision-makers and their executive teams to ensure seamless execution. Given the intricate nature and significance of this initiative, active involvement from both cohorts is strongly recommended in this programme. It is designed not only for executives keen on spearheading digital and intelligent transformation within their organisations but also for business decision-makers already engaged in AI and digital intelligence projects. These individuals may currently be encountering obstacles and seeking insights or aiming to draw inspiration and leverage the successful transformation practices of other companies. Typical participants include:
- Presidents and general managers of companies, as well as general managers of divisions within group companies
- Information technology directors responsible for spearheading digital and intelligent transformation
- Senior executives seeking to integrate AI and digital intelligence into their business functions, such as heads of supply chain management, marketing, and human resources, among others
Introduction
In 2024, cutting-edge technologies like artificial intelligence developed at an astonishing pace, with the potential to serve as the impetus for a new wave of technological revolution and industrial transformation. Numerous businesses and organisations are actively probing ways to remold traditional business models by leveraging artificial intelligence and digital technologies, with the aim of securing an edge in the competitive marketplace. Nevertheless, facilitating the digital transformation of enterprises is no easy feat; any efforts to do so will inevitably encounter a multitude of unpredictable risks and resistance stemming from traditional attitudes and industry inertia.
- For companies preparing to adopt AI and digital intelligence: How can they clarify their strategic direction, create a roadmap, identify suitable application scenarios for emerging technologies, and systematically manage and drive their transformation efforts?
- For companies in the midst of digital and intelligent transformation: What are the prevailing challenges that they face? How can they overcome these challenges?
Given the complexity of AI-era digital transformation, which can impact business models, product innovation, process optimisation, and organisational architecture, this programme begins with an overarching view of how AI reshapes productivity. It then delves into core aspects of business transformation, such as strategy formulation, organisational restructuring, and knowledge management. The programme further examines the practical applications of cutting-edge technologies within essential business functions, including product development, marketing, supply chain innovation, and financial management. By exploring these critical areas from various perspectives, the programme offers a meticulously planned roadmap for digital and intelligent transformation. This enables participants to deepen their grasp of artificial intelligence and digital technologies, thereby fostering productivity transformation and advancement.
Programme Coverage
- Module I: AI and Digital Intelligence for Business: The Next Productivity Frontier
- Module II: Industry Transformation in the Age of Digital Intelligence: Mindset and Methodology
- Module III: Technology and Enterprise Knowledge Management in the AI Era
- Module IV: Digital and Intelligent Transformation of Organisations & Talent Management in the AI Era
- Module V: Digital and Intelligent Supply Chain & Business Model Innovation
- Module VI: Digital Intelligence-Driven Product Innovation and Marketing Management
- Module VII: Blockchain, Digital Assets, and Financial Management in the AI Era
A certificate of completion will be awarded.
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Contact Us
Allen SHEN
China Europe International Business School
Address: 699 Hongfeng Road, Pudong, Shanghai, 201206, P.R.C.
Telephone: (86 21)2890 5186
Mobile: (86)136 4194 2896
Email: sallen@ceibs.edu
Faculty
FANG, YUEProgramme Co-Director
Professor of Economics and Decision Sciences
EVE Energy Chair in Economics and Decision Sciences
Department Chair (Economics and Decision Sciences), CEIBS
Director, CEIBS Research Centre for AI and Management Innovation
Research Area Director of AI-powered Enterprise and Management (AIPEM)
ZHAO, XIANDEProgramme Co-Director
Professor of Operations and Supply Chain Management;
JD.COM Chair in Operations and Supply Chain Management;
Associate Dean (Shenzhen Campus);
Director, CEIBS-ZKH Centre for Innovation in Supply Chains and Services
Paul Hu
Programme Objective
This programme aims to offer top decision-makers and their executive teams a profound understanding of the essential aspects of leading digital and intelligent transformation in the AI era, covering strategy, technology, organisational changes, innovation, supply chain, and marketing. The programme integrates classroom lectures with expert presentations, group case discussions, and the Real Situation Learning Method™ (RSLM) to enhance participants’ knowledge of AI and digital technologies, encourage creative problem-solving, and identify new avenues for digital and intelligent transformation.
Programme Benefits
This programme is designed to provide participants with a comprehensive learning journey, enabling them to:
- Gain a deep understanding of how AI and the digital economy are reshaping business and society, and acquire the essential roadmap for implementing digital and intelligent transformation initiatives
- Sharpen strategic thinking skills, develop effective change leadership capabilities, and cultivate an innovation-driven mindset to drive continuous progress
- Eliminate common misconceptions surrounding digital and intelligent transformation, and learn to adopt a leaner approach to AI-powered digital innovation
- Study real-world examples of AI application in the business realm, and delve into practical strategies and uncover untapped commercial opportunities that arise from such applications
- Explore how businesses can gain a new competitive edge and accomplish transformation and upgrading by carefully selecting supply chain strategies, building robust supply chain capabilities, leveraging digital and AI technologies, and implementing innovative service designs
- Explore the means of driving business model innovation by integrating digital and intelligent technologies across various functions, including marketing, supply chain, finance, and talent management
- Benefit from the management wisdom and winning formulas derived from the best digital and intelligent transformation practices of leading companies
- Gain priority access to relevant forums, masterclasses, and company visits
- Become a member of the CEIBS Alumni Association
Programme Content
This programme consists of seven modules, each lasting two to three days.
Module I: AI and Digital Intelligence for Business: The Next Productivity Frontier
- AI technologies: Machine learning, natural language processing (NLP), and robotics
- Real-world case studies of AI-driven transformation
- Latest breakthroughs in AI technology and their impact on enterprises
- AI strategy and implementation roadmaps
- AI-Lab: hands-on sessions to apply concepts using tools
Module II: Industry Transformation in the Age of Digital Intelligence: Mindset and Methodology
- Digital, connected, and intelligent ecosystems: How AI-driven collaboration will redefine entire value chains in the next five-to-ten years
- Transformation frameworks for the AI era: strategic pivots, organisational agility, and workforce evolution in response to disruption
- The VSOT model of industry transformation: vision reshaping, business upgrading, organisational restructuring, and technology empowerment
- Upgrading business model and redesigning ecosystem collaboration in the digital economy
- Platform management: developing leadership that transcends traditional organisational boundaries and empowers individuals at a granular level
Module III: Technology and Enterprise Knowledge Management in the AI Era
- Big data and AI
- Data-driven business value and intelligence
- Business process management and ERP system
- IT investment and outsourcing management
- Achieving sustainable competitiveness through knowledge management
Module IV: Digital and Intelligent Transformation of Organisations & Talent Management in the AI Era
- Strategic insights into trends, characteristics and capability requirements for organisation and talent management in the digital age
- Development and application of cloud and platform services in organisational management
- Digital talent management across various domains
- Driving business model innovation through digital organisation and talent management
Module V: Digital and Intelligent Supply Chain & Business Model Innovation
- Core concepts and essential tools in supply chain management
- Applying digital technology and big data to the supply chain
- Pathways to digital and intelligent transformation from a supply chain perspective
- Evolving supply chain trends and capability requirements in the double development dynamic
- Intelligent supply chain and upstream/downstream collaborative innovation in retail
- Smart manufacturing and digital supply chain transformation
- Application of digital technology and big data analytics in logistics
- Application of RPA, blockchain and other specific technologies
- Financial innovation in digital supply chain
Module VI: Digital Intelligence-Driven Product Innovation and Marketing Management
- An overview of digital and intelligent marketing in China
- Digital and intelligent marketing practices in China
- Digital intelligence-driven consumer insights and product development
- AI-powered marketing innovation and full customer lifecycle management
Module VII: Blockchain, Digital Assets, and Financial Management in the AI Era
- Blockchain vision and technological framework
- Enterprises and their digital assets
- AI X Web3
- Blockchain governance and development in China
- AI-powered corporate financial management
Teaching Language
Chinese
Admissions Procedures
Applications are requested at least 30 days before the programme start date. Applications are reviewed as they arrive and admissions are subject to the final confirmation of CEIBS. Any applications received after that date will be considered on the basis of space availability. For more information, please contact our Customer Service Team in Shanghai, Beijing or Shenzhen.
Cancellations
Any cancellation made 30 days or more prior to the programme start date will be eligible for a full refund of programme fees paid. However, any resulting expenses will be the responsibility of the applicant or their employer. Cancellations made less than 30 days prior to the programme start date are subject to a fee of 20% of the total programme fee. No refunds will be given to participants who withdraw from the programme for any reason after the programme has begun.
Notification
In order to ensure the continuity of your learning, you are required to make appropriate arrangements according to the course schedule upon receipt of your enrollment letter. We will not make up classes for you or issue a certificate of completion if you miss classes for personal reasons. CEIBS reserves the right to change information about this programme, including price, discount, date, location, faculty, daily schedule and other details.
