2. 2
AI use-cases - Fundamentals
Extraction Decision Automation Generative AI
Product Tagging
Forms processing
Price prediction
Demand Estimation
Classification
Sentiment Analysis
NSFW
Recommender Systems
Personalization
Product Similarity
Documents Audio Plain text
Images Videos
Fraud detection
Credit decision making
3. 3
Every company in the world
processes data
General
Manufacturing
Financial Services & Insurance
Retail Healthcare
Invoice
Utility bill
Bill of Lading
Receipt Passport
Purchase Order License
Mortgage processing
IRS form Claims processing
Loan application Fraud detection
Credit Risk decisions
Sales order processing
Demand estimation
Quality control
E-commerce spam filtering
Duplicate products detection
Product recommendations
Disease diagnosis
Medical bills
Health records
Drug prescriptions
Compliance-related
processes
Stock and Inventory
Planning
Wearables data
processing
Drug discovery
Invoices processing
Human Resources (HR)
Employee onboarding
Resume screening
HR records processing
Preventive Maintenance
4. 4
Things to note
• AI in theory to AI in practice
• Highlight what works, but highlight what didn’t work as well
• Did you implement any interesting workarounds?
• Show performance numbers and results
• Leverage ML models from anywhere
• It’s not always about new use-cases
• AI could augment existing workflows
• Improve AI performance with newer data, multimodal inputs, etc.
