Udemy - Economics Of AI by Anil Kumar Kalicharan

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Free Download Udemy - Economics Of AI by Anil Kumar Kalicharan
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.85 GB | Duration: 2h 9m
Economics of AI

What you'll learn
learn about economic models
Learn definition of economic analysis
learn AI models
learn by case study of AI economics
Requirements
no programming experience, looking at models for AI investments
Description
Economic modeling in AI merges data-driven approaches with fundamental principles from economics and finance. By applying microeconomic or macroeconomic frameworks to AI-based solutions, organizations can better understand trade-offs, optimize resources, and forecast future market conditions. Economic analysis examines how incentives, costs, and benefits shape decisions among individuals and institutions. Meanwhile, AI models use machine learning algorithms, neural networks, or agent-based simulations to process and interpret large volumes of data, identify patterns, and inform policy or strategy. For instance, an advanced agent-based model might replicate consumer behavior in a digital marketplace, measuring the impact of personalized pricing strategies or supply chain disruptions. Such a model can illustrate how consumer interactions, powered by real-time data and AI prediction, influence profitability and efficiency at scale. A relevant case study might involve a national healthcare system employing a dynamic model that integrates AI forecasting of patient admissions with economic principles to allocate resources efficiently. By merging cost-effectiveness analyses and predictive analytics, the system could reduce hospital wait times, save operating costs, and improve patient outcomes. Ultimately, understanding economic models in AI allows decision-makers to balance innovation with practical constraints, ensuring data-driven decisions that align with organizational and societal goals and generate sustainable competitive advantages.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Dr Jons economic conundrum
Lecture 2 Dr Jons economic conundrum
Section 3: Definition of Economic Analysis
Lecture 3 Definition of Economic Analysis
Section 4: AI Models used in Economic analysis
Lecture 4 AI Models used in Economic analysis
Section 5: Business value models and formulas
Lecture 5 Business value models and formulas
Section 6: Definition and types of Health Economic Evaluation Models
Lecture 6 Definition and types of Health Economic Evaluation Models
Section 7: Modelling Techniques and case studies
Lecture 7 Modelling Techniques and case studies
Section 8: Revisiting Dr Jons Case study
Lecture 8 Revisiting Dr Jons Case study
students, AI SME, Economics students

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Economics Of Ai
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.85 GB | Duration: 2h 9m​

Economics of AI

What you'll learn

learn about economic models

Learn definition of economic analysis

learn AI models

learn by case study of AI economics

Requirements

no programming experience, looking at models for AI investments

Description

Economic modeling in AI merges data-driven approaches with fundamental principles from economics and finance. By applying microeconomic or macroeconomic frameworks to AI-based solutions, organizations can better understand trade-offs, optimize resources, and forecast future market conditions. Economic analysis examines how incentives, costs, and benefits shape decisions among individuals and institutions. Meanwhile, AI models use machine learning algorithms, neural networks, or agent-based simulations to process and interpret large volumes of data, identify patterns, and inform policy or strategy. For instance, an advanced agent-based model might replicate consumer behavior in a digital marketplace, measuring the impact of personalized pricing strategies or supply chain disruptions. Such a model can illustrate how consumer interactions, powered by real-time data and AI prediction, influence profitability and efficiency at scale. A relevant case study might involve a national healthcare system employing a dynamic model that integrates AI forecasting of patient admissions with economic principles to allocate resources efficiently. By merging cost-effectiveness analyses and predictive analytics, the system could reduce hospital wait times, save operating costs, and improve patient outcomes. Ultimately, understanding economic models in AI allows decision-makers to balance innovation with practical constraints, ensuring data-driven decisions that align with organizational and societal goals and generate sustainable competitive advantages.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Dr Jons economic conundrum

Lecture 2 Dr Jons economic conundrum

Section 3: Definition of Economic Analysis

Lecture 3 Definition of Economic Analysis

Section 4: AI Models used in Economic analysis

Lecture 4 AI Models used in Economic analysis

Section 5: Business value models and formulas

Lecture 5 Business value models and formulas

Section 6: Definition and types of Health Economic Evaluation Models

Lecture 6 Definition and types of Health Economic Evaluation Models

Section 7: Modelling Techniques and case studies

Lecture 7 Modelling Techniques and case studies

Section 8: Revisiting Dr Jons Case study

Lecture 8 Revisiting Dr Jons Case study

students, AI SME, Economics students

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