location_city Sydney schedule Aug 29th 12:25 - 01:05 PM AEDT place Town Hall people 16 Interested

AI as a technology is being adopted by more and more organisations to solve interesting and challenging problems recently thought unfathomable. However, our experiences are that while the principles we have used over the last 20 years in Agile and Lean still apply, the practices might not. While sharing some of the opportunities AI provides, I will share some of those experiences and learnings with you.

 
 

Outline/Structure of the Talk

  • Definitions around AI - AI vs ML vs DL vs MLaaS
  • Type of problems that each of these solve
    • Augmentation vs Replacement?
  • Case Study of DataRock/Solve.
    • What it does
    • What it solves
    • Some of the challenges of deploying ML models
  • Making sure you are solving a real problem (UX and ML)
  • The problems of Data
  • Handling specialists. Hire or train? Should you make your developers an ML expert or make your Data Scientist a Software Engineer.
  • Handling bias
  • How to measure determining Basic Correctness vs Human Performance

Learning Outcome

When I should use AI/ML?
What I need to start and what I need to plan for to get this to real customers.

How you can use your ‘traditional’ agile techniques to deliver an A.I./ML based product.

Target Audience

Those Product Owners or Scrum masters or software developers who are at the beginning or wish to be prepared looking to incorporate some AI into their products. Especially something custom (i.e. not some prepared model by a supplier)

Prerequisites for Attendees

Nothing

schedule Submitted 3 years ago

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