W4 AI

Companies using AI grow revenue how much faster than non-adopters?

3× faster revenue growth.

AI personalization increases sales conversion by?

15–25% increase.

Average ROI from AI in the first year?

20–30% ROI.

AI reduces customer service costs by?

40% reduction.

AI improves manufacturing efficiency by?

20–25% improvement.

AI reduces transaction processing time in financial services by?

50–70% reduction.

AI in medical imaging does what?

Analyzes images for diagnosis.

AI helps early disease detection by?

Finding patterns humans may miss.

AI role in drug discovery?

Accelerates research & supports personalized medicine.

AI improves hospital operations how?

Resource management & admin automation.

AI in fraud detection?

Real-time fraud prevention.

AI in credit risk?

Credit risk assessment.

AI in investing?

Algorithmic trading & robo-advisors.

AI in banking customer experience?

Intelligent assistants & personalized services.

AI in compliance?

Automated compliance monitoring & stress testing.

AI recommendation systems example?

Amazon recommendations, Netflix discovery.

AI in inventory management?

Demand forecasting & dynamic pricing.

AI in customer experience?

Visual search & conversational commerce.

AI in store operations?

Behavior analysis & automated checkout.

AI in marketing?

Programmatic ads & social commerce.

AI predictive maintenance does what?

Prevents equipment failure.

AI in quality control?

Defect detection.

AI in logistics?

Warehouse & shipping optimization.

AI in energy management?

Smart grid & resource optimization.

AI in workforce safety?

Computer vision monitoring & human-robot collaboration.

AI in autonomous vehicles?

Self-driving tech (Tesla, Waymo).

AI in route optimization?

Optimizes delivery routes.

AI in traffic management?

City traffic optimization.

AI in public transport?

Predictive maintenance & ride-sharing optimization.

4 main AI themes?

Automation, Personalization, Decision Support, New Business Models.

Why start with low-risk AI projects?

Quick wins, learning, low risk, stakeholder buy-in.

Data-first foundation includes?

Data quality, integration, skills, governance.

Human-AI collaboration means?

AI augments, humans supervise.

Risk in AI credit scoring?

Bias & unfair treatment.

How reduce AI bias?

Human oversight + fairness checks.

AI’s role in decisions?

Decision support tool, not full replacement.

Benefits of AI decisions?

Efficiency, innovation, data insights.

Challenges of AI decisions?

Bias, accountability, ethics.