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    +49 8151 2719-0

    Mo. - Do. 8:30 - 17:00 Uhr
    Fr. 8:30 - 15:30 Uhr

    Elisabeth Di Muro
    Elisabeth Di Muro, Kundenservice
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Seminar: AI for Executives

Organizational and managerial implications of artificial intelligence and data science

Kosten:

Contents of the seminar "AI for Executives"

Day 1: AI vision 

09:00 Welcome

  • Saying hello
  • Expectations of the participants from the seminar
  • Learning objectives and seminar road map


09:30 Language terminology

  • What is Artificial Intelligence (AI)? What is  Machine Learning (ML)?
  • What Machine Learning can and cannot do?          
  • What is data and what is Data Science?   
  • Where to start? 
  • How to set realistic goals?
  • What makes Machine Learning relevant?


10:00 Coffee break


10:15 Workshop session – setting an AI vision for your organization today:

in this hands-on session participants get to work on drafting the AI vision for their organization by collaboratively discussing the following points:

  • Where to start
  • How to set realistic goals
  • A comprehensive checklist for an AI vision


12:00 Lunch


13:00 Challenges and opportunities in AI

  • What makes machine learning relevant?
  • A survey of common (and less expected) AI business applications
  • How does AI impact the role of a decision  maker?
  • AI as the basis of your organization’s competitive advantage


14:15 Coffee break


14:30 Workshop session - application of AI to your organization/industry:

in this hands-on session participants will translate vision into strategy and develop a plan by answering the following questions:

  • What problem do we want to solve with AI/  ML?
  • What is the value proposition?
  • What data assets can be leveraged and how to estimate their cost?
  • What is the overall impact?


16:00 Coding session – how it’s being done (optional)

  • A visual introduction to Machine Learning
  • Machine Learning algorithm template


18:00 Get together and dinner




Day 2: AI strategy and execution

09:00 Defining an AI strategy

  • Evaluating use cases
  • Defining and prioritizing projects
  • Considering your current capabilities
  • Development roadmap planning


10:00 Coffee break


10:15 Workshop session – defining and prioritizing  your AI use cases:

in this hands-on session participants define use cases using the so called “Machine Learning Canvas”, identify buy vs. make opportunities and prioritize projects using an evaluation framework


12:00 Lunch


13:00 Assessing the capabilities for AI strategy execution

  • Different AI organizational structures =>  selecting the best fit
  • Sourcing the right analytics talent
  • Choosing AI infrastructure, technology and partners


14:00 Coffee break


14:15 Workshop session – the data science workflow:

in this hands-on session participants learn on  example use cases the typical steps required  for an execution of a data science project, from data collection, to feature generation and trans formation, and AI model selection and evaluation


16:30 Summary and wrap-up

KONTAKTIEREN SIE UNS

Wir sind gerne persönlich für Sie da

+49 8151 2719-0

Mo. - Do. 8:30 - 17:00 Uhr
Fr. 8:30 - 15:30 Uhr

Elisabeth Di Muro
Elisabeth Di Muro, Kundenservice