Name: AI Techniques for Fraud Detection
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AI Techniques for Fraud Detection

WORKSHOP: AI for Financial Analytics

WORKSHOP OVERVIEW

This Workshop will Explore AI applications in the financial sector for risk management, fraud detection, and trading.

OBJECTIVE: Equip participants with skills to use AI in financial analytics.

OUTCOME: Participants will develop AI models for financial applications.

Target Audience: Financial analysts, data scientists, AI practitioners, and finance professionals.

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VOLUNTEER AT GODA SUMMIT

SESSION OVERVIEW

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AI in Industry 4.0: Driving Manufacturing and Innovation

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Case Study Presentation: "Sustainable AI Practices"

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Data Cleaning and Preprocessing Techniques

Building and Training Machine Learning Models

Model Evaluation and Validation

Introduction to AI Ethics

Techniques for Ensuring Transparency

Case Studies and Real-World Applications

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AI in Climate Modeling and Prediction

Renewable Energy Optimization with AI

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Introduction to NLP and Workshop Objectives

Text Preprocessing and Tokenization

Sentiment Analysis and Topic Modeling

Building and Deploying NLP Models

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Principles of Effective Data Visualization

Tools and Techniques for AI-Powered Visualizations

Creating Interactive Dashboards

Introduction to AI in Healthcare and Workshop Objectives

AI Applications in Diagnostics and Treatment

Personalized Medicine and AI

Data Privacy and Security in Healthcare AI

Introduction to AI Chatbots and Workshop Objectives

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Natural Language Understanding and Dialogue Management

Building and Deploying Chatbots

Introduction to Deep Learning and Workshop Objectives

Fundamentals of Neural Networks

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Introduction to AI in Finance and Workshop Objectives

Predictive Analytics for Financial Markets

AI Techniques for Fraud Detection

Algorithmic Trading with AI

Introduction to Autonomous Systems and Workshop Objectives

Fundamentals of Autonomous Systems

AI Algorithms for Robotics

Applications in Self-Driving Cars and Industrial Robots

Introduction to AI in Cybersecurity and Workshop Objectives

AI-Driven Threat Detection and Prevention

Anomaly Detection in Network Traffic

AI for Incident Response and Mitigation

Introduction to AI and IoT and Workshop Objectives

Overview of IoT Architecture and Components

AI Techniques for IoT Data Analysis

Developing Intelligent IoT Applications

Introduction to AI in Business and Workshop Objectives

AI Applications in Business Analytics

Decision Support Systems and Predictive Modeling

Implementing AI Solutions in Business Contexts

Introduction to AI Ethics and Workshop Objectives

Identifying and Mitigating Bias in AI Systems

Ethical AI Frameworks and Guidelines