Petabytes Are the New Terabytes

Overview

Learn how machine learning and AI can reduce storage costs for digital transformation initiatives, enabling more efficient data management at scale.

Syllabus

• Introduction to Large-Scale Data Management
Overview of Digital Transformation
Understanding Data Growth: Petabytes vs. Terabytes
• Basics of Machine Learning and AI in Data Management
Introduction to Machine Learning
Key AI Concepts Relevant to Storage
• Data Storage and Management Challenges
Identifying Inefficiencies in Data Storage
Costs Associated with Large-Scale Data
• AI Techniques to Optimize Storage
Data Deduplication
Compression Algorithms
Intelligent Data Archiving
• Machine Learning for Predictive Maintenance
Predictive Analytics for Storage Systems
Use Cases and Real-World Examples
• AI-Driven Data Cleaning and Organization
Automated Data Cleansing Methods
AI in Data Categorization and Labeling
• Reducing Storage Costs with AI
Case Study: Successful Cost Reduction Strategies
Industry Trends and Future Outlook
• Implementing AI Solutions in Data Management
Key Considerations and Challenges
Step-by-Step Processes for Adoption
• Tools and Technologies
Overview of Popular AI Tools for Data Storage
Integration with Existing Storage Solutions
• Workshop: Designing an AI-Driven Data Management Strategy
Hands-on Group Activity
Practical Application and Feedback
• Conclusion and Future Directions
Summarizing Key Lessons
Exploring Emerging Technologies in Data Management
• Assessments and Project Work
Quizzes to Test Understanding
Final Project: Developing a Proposal for AI-Enhanced Storage Solution

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Subjects

Conference Talks