AI on IBM z17, Meta’s Llama 4 and Google Cloud Next 2025
AI Summary
Main Takeaways from the Video:
- Unstructured Data in Enterprises:
- Estimates suggest that enterprises have about 90% unstructured data.
- Panelists discussed the implications of unstructured data in various industries.
- Significance of Mainframes:
- Hillery Hunter highlighted the importance of mainframes, stating they handle most global financial transactions.
- Mainframes are crucial for real-time fraud detection and processing billions of transactions daily.
- AI Integration:
- The video introduces new AI capabilities in IBM’s z series mainframes, aiming for high reliability and low latency in processing.
- Discussion on how AI is being integrated to improve transaction processing speed and efficiency in fraud detection.
- AI will also enhance system operation and support, improving user interaction and system management.
- Current Trends:
- Participants noted the shift towards adapting AI models to enterprise needs while maintaining data security and managing latency.
- The conversation highlighted the need for AI capabilities to remain close to the data source for efficiency and compliance.
- Future Directions:
- AI capabilities in the upcoming z/OS 3.2 release include more self-healing and automation features.
- Ongoing discussions on evolving AI technologies and their implementations in real-world applications, particularly in enterprises.