What You Need to Know Before
You Start

Starts 5 July 2025 03:32

Ends 5 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

How VIVIX Architected for AI Success with HighByte and AWS

Uncover the transformative approach VIVIX employed to construct a robust industrial data foundation, leveraging the capabilities of HighByte Intelligence Hub and AWS. This strategic initiative revolutionized their maintenance operations and laid down a solid groundwork for achieving success with artificial intelligence.
AWS Events via YouTube

AWS Events

2777 Courses


12 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Video

Optional upgrade avallable

Overview

Uncover the transformative approach VIVIX employed to construct a robust industrial data foundation, leveraging the capabilities of HighByte Intelligence Hub and AWS. This strategic initiative revolutionized their maintenance operations and laid down a solid groundwork for achieving success with artificial intelligence.

Syllabus

  • Course Introduction
  • Overview and Course Objectives
    Importance of Industrial Data Foundations
  • Introduction to VIVIX
  • Company Background
    AI and Data Strategy
  • HighByte Intelligence Hub
  • Overview and Capabilities
    Data Modeling and Contextualization
    Integration with Industrial Systems
  • AWS in Industrial Data Management
  • Overview of AWS Services Used
    Data Storage and Management in the Cloud
    Scalability and Security Features
  • Building a Scalable Data Foundation
  • Data Ingestion Techniques
    Best Practices for Data Governance and Quality
    Real-time Data Processing and Analytics
  • Transforming Maintenance Operations
  • Predictive Maintenance with AI
    Use Cases and Applications
    Benefits and Challenges
  • Architecting for AI Success
  • Designing an AI-ready Infrastructure
    Leveraging Edge and Cloud Computing
    Ensuring Scalability and Flexibility
  • Case Study: VIVIX’s AI Journey
  • Implementation Roadmap and Timeline
    Key Success Factors and Lessons Learned
  • Tools and Technologies
  • Overview of Technologies Used
    Integration Strategies
  • Course Conclusion
  • Recap of Key Learnings
    Future Trends in Industrial AI and Data Management
  • Additional Resources
  • Recommended Readings
    Useful Tools and Platforms
  • Assessment
  • Final Project or Case Study Analysis
    Quizzes and Knowledge Checks

Subjects

Programming