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IS areas using AI / data analytics

Short answer

Four areas: CRM uses analytics for churn prediction and recommendations; finance uses ML for fraud detection and credit scoring; supply chain uses forecasting, maintenance and route optimization; DSS and business intelligence use predictive models and dashboards for strategy.

Discuss four different areas of information systems that use data analytics and related techniques (artificial intelligence and related techniques).

Information systems increasingly use data analytics and artificial intelligence (machine learning, expert systems, NLP, neural networks). Four major areas:

1. Customer relationship management and marketing

  • Analytics segments customers, predicts churn and lifetime value.
  • Recommendation engines (Amazon, Netflix) and chatbots personalise offers and answer queries.
  • Sentiment analysis of social media gives feedback.

2. Finance, banking and fraud detection

  • Machine learning detects unusual credit-card and transaction patterns in real time.
  • Credit scoring and loan approval models; algorithmic trading and risk assessment.
  • Anti-money-laundering analytics.

3. Supply chain and operations

  • Demand forecasting, inventory optimisation and route planning.
  • Predictive maintenance of machines using sensor data (IoT).
  • Quality inspection with computer vision.

4. Decision support and business intelligence

  • DSS, executive dashboards and OLAP use data mining and predictive models for strategy.
  • Expert systems give rule-based advice (loan officer, medical diagnosis).
  • Natural language query and automated reporting.

Other areas: healthcare (diagnosis, drug discovery), human resources (resume screening, attrition prediction), education (adaptive learning), and cyber security (anomaly and intrusion detection).

✓ Answer checked by Claude Opus 5.5 (high effort)

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