Name: Panel Discussion: Managing Energy Consumption in Data Centers and AI Model Training
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Panel Discussion: Managing Energy Consumption in Data Centers and AI Model Training

Managing Energy Consumption in Data Centers and AI Model Training

TOPICS

Energy demands of data centers
Training large AI models

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SESSION OVERVIEW

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The Power Demand of AI: Challenges and Solutions

The Future of AI: Innovations and Trends

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AI Ethics and Governance: Navigating Challenges

Smart Cities: Building the Urban Future with AI

AI for Climate Action: Tackling Environmental Challenges

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AI in Industry 4.0: Driving Manufacturing and Innovation

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Panel Discussion: Managing Energy Consumption in Data Centers and AI Model Training

Case Study Presentation: Optimizing Energy Use in AI Operations

Presentation - AI and the Environment: Balancing Innovation with Sustainability

Panel Discussion: The Environmental Impact of AI: Challenges and Mitigation Strategies

Case Study Presentation: AI and Environmental Sustainability

Case Study Presentation and Live Demo: Sustainable AI: Strategies for Reducing Power Consumption

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Data Cleaning and Preprocessing Techniques

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Introduction to AI Ethics

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Case Studies and Real-World Applications

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AI in Climate Modeling and Prediction

Renewable Energy Optimization with AI

Sustainable Resource Management

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Text Preprocessing and Tokenization

Sentiment Analysis and Topic Modeling

Building and Deploying NLP Models

Introduction to Data Visualization and Workshop Objectives

Principles of Effective Data Visualization

Tools and Techniques for AI-Powered Visualizations

Creating Interactive Dashboards

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AI Applications in Diagnostics and Treatment

Personalized Medicine and AI

Data Privacy and Security in Healthcare AI

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Introduction to Deep Learning and Workshop Objectives

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Convolutional Neural Networks (CNNs)

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AI Techniques for Fraud Detection

Algorithmic Trading with AI

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Applications in Self-Driving Cars and Industrial Robots

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Anomaly Detection in Network Traffic

AI for Incident Response and Mitigation

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Overview of IoT Architecture and Components

AI Techniques for IoT Data Analysis

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Introduction to AI in Business and Workshop Objectives

AI Applications in Business Analytics

Decision Support Systems and Predictive Modeling

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Introduction to AI Ethics and Workshop Objectives

Identifying and Mitigating Bias in AI Systems

Ethical AI Frameworks and Guidelines