Artificial Intelligence and Entrepreneurship — Syllabus
ICSE · Class 11 · Entrepreneurship
What Artificial Intelligence and Entrepreneurship covers in ICSE Class 11 Entrepreneurship: 4 topics, for the 2026-27 session.
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Topics in Artificial Intelligence and Entrepreneurship
1. Meaning of Artificial Intelligence
- Artificial Intelligence is the capability of machines and computer-based systems to perform tasks that normally require human intelligence.
- These tasks include learning, reasoning, analysing information, recognising patterns, understanding language, and making decisions.
- AI is different from traditional software because it can learn from experience and improve its performance over time.
2. Big Data Analytics
- Big data is created by online shopping transactions, social media posts, digital payments, website visits, and customer feedback.
- This data contains information about consumer behaviour, purchasing trends, preferences, seasonal demand, and market dynamics.
- Manual analysis of such large data is impractical.
3. Customer Experiences and Digital Inferences
- Customer experience is an important factor in business success because customers expect personalised service, quick responses, and smooth digital interaction.
- Whenever customers browse websites, make online purchases, leave reviews, or interact on social media platforms, they create digital data.
- AI analyses this data to understand preferences, interests, and behavioural patterns.
4. Risk Management
- Entrepreneurship involves financial risk, market risk, operational risk, and strategic risk.
- AI helps identify, analyse, and reduce these risks.
- Financial institutions use AI to detect unusual transaction patterns that may indicate fraud.
Key Concepts
Central concept: Artificial Intelligence in Entrepreneurship
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Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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