🔎 Identifying AI Use Cases

1. Look for Repetitive, Time-Consuming Tasks

AI excels at automating routine work.

• Examples: Data entry, scheduling meetings, sorting emails, tagging images.
• Benefit: Saves time and reduces human error.

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2. Identify Data-Heavy Problems

AI needs data to learn — so problems with lots of structured or unstructured data are strong candidates.

• Examples: Customer purchase history, medical records, financial transactions.
• Benefit: Finds patterns humans might miss.

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3. Focus on Prediction & Forecasting Needs

If you need to guess or estimate future outcomes, AI can help.

• Examples:
  • Predicting customer churn in business.
  • Forecasting product demand in retail.
  • Predicting equipment failure in manufacturing.

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4. Look for Personalization Opportunities

AI can tailor experiences to individuals.

• Examples:
  • Netflix recommending movies.
  • Spotify curating playlists.
  • E-commerce suggesting products.

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5. Identify Decision-Support Areas

AI can help make better decisions with data-driven insights.

• Examples:
  • Doctors using AI to analyze medical images.
  • Banks using AI to assess loan applications.
• Benefit: Improves accuracy and efficiency.

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6. Check for Natural Human Interaction Needs

AI can make tech more natural with speech, vision, and text understanding.

• Examples:
  • Chatbots answering customer queries.
  • Virtual assistants (Siri, Alexa).
  • Language learning apps like Duolingo.

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✅ Quick Checklist for Identifying AI Use Cases

• Is the task repetitive?
• Does it involve large amounts of data?
• Does it require prediction or forecasting?
• Can it benefit from personalization?
• Does it support better decisions?
• Does it need human-like interaction?