AI for Business

Some tips for building AI systems for businesses:

• Clarify the business problem first, then define how to translate it into a technical solution.
• Don’t use AI and ML unless no better alternative exists.
• Avoid complex AI systems.
  • They are harder to develop, maintain, and scale.
  • Often a simple model can add more value to the business.
• Identify all stakeholders and Think from each one’s perspectives.
  • Clients / customers
  • Potential customers
  • The company’s employees
  • The company’s IT team
  • The decision-maker in the business
• A better User Experience is better than a better optimized model. In business, Customer-centricity is key.
• Decide on best approach when facing failure, whether fixing the problem or changing platforms and tools is most efficient.
• Always test the outcomes against real-world cases.
• Documentations should track business features as project progresses. It should be in plain language and understandable for all stale holders.

Questions to ask before investing on creating an AI system:

• Why should the product be built?
• What does the product exactly do?
• Is the project feasible given current restriction.
• What does a successful end product look like, and work?