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1. Introduction to Artificial Intelligence in the company
- Definition of Artificial Intelligence (IA)
- Key concepts and basic terminology
- Key features of Ai
- Machine Learning
- Natural Language Processing (NLP)
- Computer vision
- Autonomous reasoning and decision-making
- Robotics and Physical Artificial Intelligence
- Current landscape of AI in the business environment
- Recent trends and advances in AI
- Impact of AI on different industries
- Identification of opportunities to implement AI in different business areas
- Hands-on Workshop: Design Thinking applied to AI to solve specific business challenges
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2. Integrating AI into business processes
- AI in decision-making and process automation
- AI tools and platforms
- Generative AI and its application in business
- Practical workshop: definition and prioritization of AI projects in the company
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3. AI Project Management and leadership
- Agile methodologies and AI-specific project management
- Organizational Change Management for AI adoption
- Strategies for integrating AI into the enterprise value chain
- Practical workshop: planning an AI project applicable to each participant's company
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4. Data Analytics and Data Strategy for AI
- Data Management and quality for AI projects
- Infrastructure and technology architecture needed for AI
- AI integration with existing systems and processes
- Practical workshop: assessorament of data maturity in the company and action plan
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5. Success stories and lessons learned in AI implementation
- Sector studies: banking, retail, health, manufacturing, among others
- Analysis of challenges and solutions in real AI projects
- Practical workshop: critical analysis of case studies and application of learning in their own contexts
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6. Masterclasses by experts
- AI and innovation in business
- Emerging applications and future trends of AI
- Data Science and Artificial Intelligence applied to business
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