LEADING AI-EMPOWERED INNOVATION – THE AI PIONEER

Artificial Intelligence (AI) is already present in our everyday lives and will be a key path to the Digital Transformation journey that businesses and organisations have begun. IDC estimates that global AI investments will reach $97.9 billion in 2023. BCG listed more than 35 AI case studies in Greece in its 2020 report, yet noted that most AI adopters did not apply a systematic and comprehensive approach at scale, which would enable them to realize the full potential of AI. The decision to lead an AI-enabled Transformation journey requires successful strategic steps.

Let us make these first steps together and may the journey begin!


Skills you will develop

The participants of this program will gain the knowledge and skillset, allowing them to:

  • Explain important AI concepts, terms and techniques 
  • Have a common language and understanding of AI across teams & disciplines
  • Integrate AI concepts and components into the: (a) product development (MVP and future extensions) (b) service design and provision, (c) optimization of internal processes
  • Adopt a data-driven strategy (ethical, secure and legal-by-design)
  • Design and implement a successful AI Roadmap 
  • Communicate the business value of AI to decision-makers or investors
  • Communicate AI insights to customers 

Content

Setting the Foundation

1. What is AI? What is not AI? 

  • AI and related terms
  • Machine Learning, Robotic Process Automation (RPA), Deep Learning, Data Mining, Data Analytics, etc.

2. What can AI do for you?  

  • Classification
  • Regression
  • Clustering
  • Natural Language Processing (NLP)
  • Other AI-related tasks

Diving Deeper

3. AI Applications & Use cases 

4. AI & Data revisited 

  • Why is data critical?
  • Annotation as a process
  • Data risks and mitigation
  • Sustainable data collection

Integrating AI into your Company/Organisation (Hands-on)

5. Leading an AI project 

  • Critical legal and ethical considerations
  • Integrating AI into a system
  • Evaluating performance
  • Sustainability of AI systems

6. Implementing AI in your Company 

  • Describe and discuss alternative use cases
  • Understand the time-frame
  • Prioritize
  • Describe the 1st project 
  • Form an AI roadmap for 6-12 months 

Final Considerations

7. Communicating AI to investors/customers 

  • Publications or patents?
  • Open source solutions
  • Models vs source code
  • Talking with customers
  • Talking with investors

What you will take away

  • A tailor-made AI roadmap
    We co-create a tailor-made plan for implementing AI in your company.  
  • Outline of the first 1-2 projects for further development
    The company brings in identified needs. We help in defining the 1-2 quick-win and value-generating projects that address those needs with the use of AI. 
  • A certificate of attendance 
  • Membership in the active community of “1000 Pioneers for AI in Greece