AI transformation: The Why, The How
This course, “AI Transformation: The Why and the How” helps leaders understand how to drive meaningful c...
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Course level: Advanced
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Language: English, Slovak
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Duration: 1 day
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Certificate: Upon completion of the course
Price:
900 €
About Course
This course, “AI Transformation: The Why and the How” helps leaders understand how to drive meaningful change in the age of AI. It goes beyond adopting tools, focusing instead on how AI reshapes strategy, people, processes, and technology to unlock long-term business value.
Structured around four key pillars—human, process, data, and technology—the course offers practical guidance on redesigning roles, automating workflows, leveraging data, and building the right infrastructure. Through real examples and actionable frameworks, participants will gain a clear roadmap to lead AI transformation in their organization.
What you will learn?
01
The 4 aspects of AI transformation
- People and how AI extends their capability
- Future-proof processes for AI automation
- Data as the foundation of AI
- Building technology base AI integration
02
The employee & AI
- The role of employees in AI automation
- Preparing employees for change and using AI tools
- Changing competencies and developing new skills for working with AI
03
Redesigning processes for AI (Map->Optimize->Automate)
- Understanding and mapping the processes
- Re-building processes for AI
- Automating processes using AI
04
Data is the foundation of AI
- The importance of data availability in AI integration
- Data quality as a key to success
- Big Data and analytics for AI solutions & vice versa
05
Infrastructure & Security
- In-house infrastructure vs. cloud services
- Implementation costs and technology trends
- Data security within AI landscape
06
Measuring impact - AI & KPIs
- The relationship between business KPIs & AI success
- Calculation the business case – soft & hard savings
07
Beyond cost savings
- AI for business growth & scaling
- Decision-making with AI
- Building new products & services with AI
The 4 aspects of AI transformation
- People and how AI extends their capability
- Future-proof processes for AI automation
- Data as the foundation of AI
- Building technology base AI integration
The employee & AI
- The role of employees in AI automation
- Preparing employees for change and using AI tools
- Changing competencies and developing new skills for working with AI
Redesigning processes for AI (Map->Optimize->Automate)
- Understanding and mapping the processes
- Re-building processes for AI
- Automating processes using AI
Data is the foundation of AI
- The importance of data availability in AI integration
- Data quality as a key to success
- Big Data and analytics for AI solutions & vice versa
Infrastructure & Security
- In-house infrastructure vs. cloud services
- Implementation costs and technology trends
- Data security within AI landscape
Measuring impact - AI & KPIs
- The relationship between business KPIs & AI success
- Calculation the business case – soft & hard savings
Beyond cost savings
- AI for business growth & scaling
- Decision-making with AI
- Building new products & services with AI
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Real-life problems, solutions, case studies...
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