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

Overview

Join us for an in-depth exploration of Intel's strategic adaptation in the age of artificial intelligence. Learn how open-source initiatives are key to optimizing and scaling AI projects.

Discover the integration capabilities with renowned tools such as Charmed Kubeflow and Data Science Stack, empowering organizations to efficiently manage AI workloads.

This course provides valuable insights for anyone interested in the intersection of AI and business innovation. Gain knowledge from industry leaders and explore practical applications that drive transformative business outcomes.

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

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Subjects

Business