With this formation of AI: Tools for Your Day-to-Day Work You will gain a comprehensive overview of artificial intelligence (AI) and its applications in various fields. You will understand the the fundamentals and types of AI and you’ll see how relevant it is in areas such as business, finance, education and health. Topics such as the following are explored: People Analytics, forecasting demand and behaviour, market segmentation, customer loyalty, and online advocates. The book also addresses digital transformations in finance, the use of Big Data, and natural language processing (NLP). In education, the contributions, ethical principles, risks and challenges of AI are discussed. In the medical field, applications such as electronic health records, real-time alerts and predictive analytics stand out.
AI: Tools for Your Day-to-Day Work
Digital Skills
60 hours
Introduction
Objectives
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Understanding the development and types artificial intelligence.
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Apply People Analytics in human resources management.
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Using AI to stock forecasts and trends market.
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Implement web recommendation systems.
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Integrating Big Data into financial services.
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To assess the ethical principles of AI in education.
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Applying AI to the medical diagnosis and prediction.
Table of Contents
TEACHING UNIT 1. THE POTENTIAL OF ARTIFICIAL INTELLIGENCE
1. Introduction to Artificial Intelligence
2. History
3. The importance of AI
4. Types of artificial intelligence
5. Algorithms applied to artificial intelligence
TEACHING UNIT 2. BUSINESS APPLICATIONS
1. People Analytics
2. Forecasting: stock levels, demand, behaviour
3. Segmentation: analysis of supply. Identifying trends
4. Building customer loyalty using reinforcement learning
5. Web recommendation services
6. Process improvement
TEACHING UNIT 3. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN FINANCE
1. Technology and digital transformation in finance
2. Definition and significance of AI in the financial sector
3. Big Data and data science in the financial services sector
4. Natural Language Processing (NLP) and automation
TEACHING UNIT 4. ARTIFICIAL INTELLIGENCE IN THE CLASSROOM
1. The role of artificial intelligence in teaching
2. Ethical principles governing the use of AI in education
3. The risks and challenges of artificial intelligence in the classroom
4. The current state of AI in education
TEACHING UNIT 5. THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSIS
1. Widespread healthcare using Big Data
2. Patient feedback to improve staffing levels
3. Electronic health records (EHR)
4. Real-time alerts
5. Improving patient engagement
6. Preventing opioid abuse in the US.
7. Use of health data for informed strategic planning
8. Curing cancer with Big Data
9. Predictive analytics in healthcare
10. Reducing fraud and improving security
11. Telemedicine
12. Integrating Big Data with Medical Images
13. One way to avoid unnecessary visits to A&E
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