Petabytes Are the New Terabytes

Overview

Explore how machine learning and AI can optimize data storage, reducing costs in digital transformation initiatives.

Syllabus

• Introduction to Data Storage
Overview of Data Storage Evolution
From Terabytes to Petabytes: Understanding Scale
• Fundamentals of Machine Learning in Data Management
Key Machine Learning Algorithms for Data Optimization
Role of AI in Data Storage
• Cost Implications of Data Storage
Analyzing Storage Costs
Impact of Big Data on Budgeting
• AI-Driven Data Compression Techniques
Lossless vs. Lossy Compression
AI Applications in Compression
• Deduplication and Data Reduction Strategies
Identifying and Removing Redundant Data
Machine Learning for Data Deduplication
• Predictive Analytics for Storage Optimization
Using AI to Forecast Storage Requirements
Adaptive Storage Strategies Based on Predictive Insights
• Data Lake and Data Warehouse Optimization
Differences Between Data Lakes and Warehouses
AI Approaches to Efficient Data Lake Management
• Cloud Storage and AI Integration
Benefits of AI in Cloud Storage Solutions
Case Studies: AI-Enhanced Cloud Storage Providers
• Security and Compliance in AI-Driven Data Storage
Ensuring Data Integrity with AI
Compliance and Regulations in Intelligent Storage
• Case Studies and Real-World Applications
Successful Implementations of AI in Large-Scale Storage Systems
Lessons Learned from Industry Leaders
• Future Trends and Innovations
Emerging Technologies in Data Storage
The Future Role of AI in Data Management
• Course Wrap-Up
Review of Key Concepts
Final Thoughts on Digital Transformation and AI in Storage

Subjects

Conference Talks