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AI Strategies: From Analytics to Agents
International Institute for Management Development

AI Strategies: From Analytics to Agents

International Institute for Management Development, Lausanne
25 daysDuration
onlineFormat
EnglishLanguage
Data & AITopic

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Sep 28 - Nov 1, 2026
25 days · online · Instructor-Led
Open
$2,143

All-inclusive program fee

About This Program

How can you turn AI into real business value? AI is accelerating change across every aspect of business, fundamentally reshaping how companies compete and operate. Yet most organizations remain stuck in pilots, struggling to separate hype from genuine opportunity. Leaders face difficult questions: Where can AI create competitive advantage? What capabilities do we truly need? How do we scale beyond experimentation? And how do we bring our people along? This hands-on program gives you a clear, structured framework for AI transformation – from experimentation to enterprise-level impact – and enables you to build your strategy step by step. It focuses on Enterprise AI: building systematic capabilities that scale across your organization with stability, safety, and measurable results. Grounded in real cases, it shows how leading organizations integrate data, models, analytics, IT, and people into an AI factory – a repeatable system that delivers value consistently and at scale. You’ll explore how AI drives business value, how analytics evolve from descriptive to predictive to prescriptive, and what it takes to shift from isolated initiatives to systematic capabilities. You’ll discover three strategies for capturing value and a practical framework for determining where autonomous AI is appropriate and where human judgment must remain central. Throughout the learning journey, you’ll be guided step by step by an AI-powered advisor that adapts to your role, industry, and organizational context. It will help you apply concepts to your work situation and guide you through developing a practical roadmap tailored to your reality and ready for you to implement immediately. Purpose-built learning features accelerate your progress: AI-generated podcasts distill key concepts for learning on the go, and regular assessments and nudges keep you on track. Discover the program content. You can take this program as a stand-alone experience or as part of the IMD Online Executive Certificate.

Why International Institute for Management Development?

IMD runs one of the smallest, most selective executive education portfolios in the world — and that is precisely the point. Based on the shores of Lake Geneva, the school has built its entire identity around a single question: what does it actually take to develop a leader who performs under real pressure? The answer, refined over decades, is a model that combines unusually small cohorts, faculty who consult actively with global corporations, and a Swiss-precision focus on measurable behavioral change.

Your Profile

  • You are a business leader or manager playing a key role in AI strategy and transformation in your organization. You may be leading digital innovation, managing function-level AI initiatives, or contributing to strategic AI decisions and implementation.
  • This program builds the strategic fluency needed at any level , with AI-powered advisors that adapt the of frameworks to your specific context, scope of responsibility, and career stage. Whether you’re presenting to a board or scoping your first AI pilot, you’ll develop actionable strategy tailored to your reality.
  • The program is designed for business professionals who make or influence strategic decisions about AI , not build AI systems themselves. No technical background is required.

Benefits

  • Build AI capabilities that deliver value - Start with customer problems, not technology. Use a diagnostic approach to identify where AI creates real customer value and competitive advantage, applying three distinct strategies beyond efficiency gains.
  • Assess your organization’s capabilities - Apply a practical framework to evaluate your data, AI models, and analytics – what you have, what’s missing, how the pieces connect to create value, and where to partner instead of building everything.
  • Make smart decisions about autonomy - Use clear criteria to decide when AI should recommend, when it should act with approval, and when it can operate autonomously, matching autonomy to business stakes.
  • Scale from pilots to impact - Learn what it takes to build an AI factory and scale AI systematically: how to organize teams, develop talent, reshape roles, and bring your people along the transformation journey.
  • Create your transformation roadmap - Work with AI-guided exercises to develop your actual transformation roadmap – the problems you’re solving, the capabilities you need, and how you’ll capture value.
  • You and your class - You are a business leader or manager playing a key role in AI strategy and transformation in your organization. You may be leading digital innovation, managing function-level AI initiatives, or contributing to strategic AI decisions and implementation.

What You'll Learn

  • Unit 1: AI and Digital Transformation strategy - Identify the core elements of an AI transformation strategy and distinguish between digitization and true transformation, Analyze how leading organizations use data, analytics, and ecosystem partnerships to create customer and business value, Differentiate between descriptive, predictive, and prescriptive analytics and evaluate their impact on value creation, Apply a structured framework to assess your organization’s current analytics and data capabilities, pinpointing gaps and opportunities, Explore how ecosystem thinking and external data sources can enhance your analytics capabilities
  • Unit 2: Generative AI and unstructured data - Evaluate the strategic value of different data sources – structured vs. unstructured, first-party, second-party, and third-party, Apply the Data Analytics Cube framework to assess your current practices and identify opportunities to expand them, Compare supervised, unsupervised, and loop learning approaches and determine when each is most effective, Explore how generative AI leverages unstructured data and loop learning to create new business opportunities and challenges
  • Unit 3: Implementing AI - Identify the key capabilities needed to build and scale an AI factory, Analyze how leading organizations integrate data, models, analytics, people, and IT to deliver AI at scale, Assess your organization’s readiness and map the steps to move from isolated pilots to systematic, enterprise-wide AI capabilities
  • Unit 4: Agentic AI - Understand what agentic AI is and how it differs from traditional AI systems, Analyze real-world examples of agentic AI autonomously pursuing goals, planning actions, and adapting to conditions, Assess where agentic AI could create value in your organization and identify key considerations for responsible implementation
  • Unit 5: People and AI - Distinguish between key AI roles – data scientists, ML engineers, AI engineers, and prompt engineers – and identify what capabilities your organization actually needs, Analyze how AI changes existing jobs and assess the likely impact on roles in your organization, Evaluate the challenge of trust calibration: when people should accept AI output versus when they should override it, and design approaches to build appropriate judgment, Clarify accountability when humans and AI share decisions and establish clear ownership for outcomes

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