As Artificial Intelligence takes on a foundational role in tackling complex prediction problems, organizations are increasingly investing to adopt this technology hoping to obtain extraordinary results. However, less than 7% of AI initiatives ever reach production. Part of the challenge is that organizations drastically underestimate the inherent challenges in developing effective AI products.  While AI is often seen as a threat to replace us all, the most valuable implementations of AI within the workplace take a human-centric approach and focus on augmentation, not replacement.  

In this talk we introduce the “AI Learning Flow”, an agile and design thinking-inspired, human-centric perspective to help teams understand and navigate the challenges inherent to AI product development.  This will help you:

  • Deeply immerse yourself into the user's context and derive insights into the prediction problems they face
  • Co-create value models with your users and stakeholders, taking accuracy economics, training data governance, prediction ethics, and judgment enhancement into consideration.
  • Continuously identify, prioritize and validate assumptions through thinly sliced experiments to minimize risk and/or uncertainty.
 
 

Outline/Structure of the Talk

  1. Introduction to the AI Learning Flow -- framing and sequencing your AI initiative and developing the AI Learning mindset
  2. The AI Canvas -- getting deep into your user's context, identifying assumptions and developing an understanding of the prediction landscape
  3. The AI Value model -- aligning your business & technology outcomes  
  4. AI Customer Validation & Experimentation -- identifying assumptions and experimentally de-risking your initiative 
  5. Q&A

Learning Outcome

  1. Develop a “Human First” mindset when designing AI Products 
  2. Gain insights into the challenges of developing AI products
    Become more aware of the drivers of AI value, how to measure and capitalize on them
  3. Understand the AI experimental process and how to de-risk your AI initiative for success

Target Audience

Product and Innovation Teams, Product Managers, Product Owners, Innovation Leaders

Prerequisites for Attendees

- Basic understanding of Machine Learning and the challenges around AI Product Development

- Basic understanding of validated learning techniques

schedule Submitted 6 months ago

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    code-window.png

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