Learn how machine learning and AI systems can increase operational efficiencies, create new business insights and deliver results.

“Organizations will be valued not just on their big data, but on the algorithms that turn that data into actions and impact customers.”

– Gartner Research

Learn how machine learning and AI systems increase efficiency, improve service levels and profitability. This non-technical seminar, intended for leadership, assumes no previous knowledge or experience. Participants leave with a list of high quality AI use cases and understanding of how to effectively generate more. Content can be tailored to specific industries and functional areas depending on attendees – we will ask before the session.

 

Key Learning Outcomes:

THE AI OPPORTUNITY – DEFINITIONS AND KEY CONCEPTS

  • Why do they call it machine learning?
  • What is AI?
  • What about deep learning?

CASE STUDIES AND SUCCESS STORIES

  • Describing the opportunity
  • Prediction target
  • Value calculation
  • Considering implementation

THE MACHINE LEARNING LIFE CYCLE – HOW TO SPOT OPPORTUNITIES

  • KPIs vs Prediction targets

WORKING SESSION TO SPOT OPPORTUNITIES

  • The importance of top-level sponsorship
  • Centralized vs decentralized data science
  • IT considerations

WHAT’S NEXT

  • The AI Roadmap
  • Qualities of a good use case