AI Transformation: A holistic approach

In the age of artificial intelligence, organizations must adapt to remain competitive and innovative. This 3-day certificate course, AI Transformation: A Holistic Approach, equips participants with the knowledge and tools to harness the transformative power of AI, from redefining value propositions to optimizing business processes and workforce dynamics. Participants will explore AI’s potential to drive innovation, improve decision-making, and address organizational challenges while considering the ethical and compliance implications of its use. Designed for business leaders, strategists, and innovators, this course offers valuable insights into integrating AI responsibly and effectively into organizational strategies, ensuring long-term success in an AI-driven world.

JOIN US ONLINE OR ON OUR CAMPUS IN ZURICH-KLOTEN, SWITZERLAND

This certificate course counts towards the Diploma in Advanced Management.

Course Outline

Module 1: Introducing AI Transformation

• Define AI transformation and provide industry-specific examples of successful AI integration.
• Explore how AI reshapes value propositions and unlocks new opportunities.
• Identify business needs uniquely addressed by AI in various sectors.
• Analyze challenges organizations face when implementing AI, including ethical concerns and resource limitations.

Module 2: Adapting Processes for an AI-Driven Business

• Examine processes through an AI-driven, customer-centric lens, including personalization and predictive analytics.
• Analyze AI-enhanced business and operating models, focusing on scalability and adaptability.
• Reflect on user communities and integrated AI ecosystems, such as smart networks and collaborative AI platforms.
• Explore the evolving boundaries between virtual, augmented, and physical realities driven by AI technologies.

Module 3: Understanding the Role of AI Technologies

• Investigate AI as a core enabler of transformation, focusing on machine learning, natural language processing, and robotics.
• Discuss the role of cloud-based AI solutions and related security implications.
• Examine how AI drives automation, decision-making, and insights across organizational functions.

Module 4: Leveraging Data for AI Transformation

• Assess data sources critical for AI systems, including structured, unstructured, and real-time data streams.
• Explore the role of AI in advanced data analytics and predictive modelling.
• Discuss AI-specific data governance, lineage, and compliance, with a focus on ethical AI practices.
  Break-out b): Identifying AI-driven business opportunities and designing actionable plans leveraging AI.

Module 5: Aligning People and Organizations for AI Transformation

• Analyze the impact of AI on workforce dynamics, including job redesign, upskilling, and AI-human collaboration.
• Establish governance structures for responsible and sustainable AI transformation.
• Manage risks and compliance challenges associated with AI, including bias mitigation, data privacy, and regulatory adherence.

*Payment Policy

• Registration fee of 150.- CHF (part of the overall course fee) is non-refundable when the participant cannot attend.
• Invoiced 3 months prior to course start
• 100% Refund 4 weeks prior to course start
• 30% Refund 2 weeks prior to course start
• 0% Refund less than 2 weeks prior to course start