Intel in the Era of AI - Business Transformation with Open Source

Overview

Discover how Intel adapts to AI transformation through open-source initiatives, enabling organizations to optimize and scale AI workloads while integrating with tools like Charmed Kubeflow and Data Science Stack.

Syllabus

• Introduction to AI Transformation
Understanding AI and its impact on businesses
The role of open-source in AI transformation
• Intel's Journey in AI
Overview of Intel's AI strategy
Key initiatives and partnerships in AI
Case studies of AI transformation at Intel
• Open Source and AI Workloads
Benefits of open-source tools for AI
Overview of popular open-source AI projects
Intel's contributions to open-source AI
• Optimizing AI Workloads with Intel Technology
Intel hardware solutions for AI (e.g., CPUs, GPUs, accelerators)
Software optimizations for AI workloads
Case studies showcasing optimized AI workloads
• Introduction to Charmed Kubeflow
Overview of Kubeflow and its use in AI
Integrating Charmed Kubeflow with Intel technologies
Hands-on setup of Charmed Kubeflow for AI development
• Data Science Stack and its Integration with Intel
Overview of the Data Science Stack
Leveraging the Data Science Stack for AI solutions
Intel's optimizations for the Data Science Stack
• Scaling AI Workloads
Strategies for scaling AI applications
Tools and platforms for efficient AI scaling
Best practices for deploying and managing AI at scale
• Real-world Applications and Use Cases
AI applications across industries
Success stories of AI transformation
Lessons learned from Intel's AI projects
• Future Trends in AI and Open Source
Emerging trends and technologies in AI
The evolving role of open-source in AI
Preparing for future AI transformations
• Conclusion and Next Steps
Recap of key learnings
Resources for continued learning in AI and open source
Opportunities for collaboration and innovation with Intel

Subjects

Business