Building AI in Your Company(2)

1. AI Transformation Playbook (Part 1)

AI Transformation Playbook

1) Execute pilot projects to gain momentum

2) Build an in-house AI team

3) Provide broad AI training

4) Develop an AI strategy

5) Develop internal and external communications

 

 

1) Execute pilot projects to gain momentum

•  More important for the initial project to succeed rather than be the most valuable
• Show traction within 6-12 months
• Can be in-house or outsourced

 

2) Build an in-house AI team

 

3) Provide broad AI training

• The smart CLO knows they should curate rather than create content

 

2. AI Transformation Playbook (Part 2)

4) Develop an AI strategy

• Leverage AI to create an advantage specific to your industry sector
• Design strategy alinged with the "Virtuous Cycle of AI"
  • better product → more users → more data → better product → ...
• Consider creating a data strategy
  • Strategic data acquisition
  • Unified data warehouse
• Create network effects and platform advantages
  • In industries with "winner take all" dynamics, AI can be an accelerator

 

5) Develop internal and external communications

• Investor relations
• Government relations
• Consumer/user education
• Talent/recruitment
• Internal communications

 

 

3. AI pitfalls to avoid

 

 

 

4. Taking your first step in AI

Some initial steps you can take

• Get friends to learn about AI
  • This course
  • Reading group
• Start brainstorming projects
  • No project is too small
• Hire a few ML/DS people to help
• Hire or appoint an AI leader (VP AI, CAIO, etc.)
• Discuss with CEO/Board possibilities of AI Transformation
  • Will your company be much more valuable and/or more effective if it were good at AI?

 

 

 

출처: Coursera, AI For Everyone, DeepLearning.AI