Pure Leadership Series: Conquering AI's Twin Hurdles In Cost Optimization & Scalability
- By CDOTrends editors
- October 14, 2024
Pure Leadership Series
Conquering AI's Twin Hurdles In Cost Optimization & Scalability
11 October 2024 | Online
AI's potential is immense, but its challenges are equally daunting. Join our Pure Leadership Series webinar organized by Pure Storage and CDOTrends as we tackle the two biggest unknowns: cost optimization and scalability.
Taming Runaway Costs: From data prep to inference, AI workloads are constantly shifting. We'll explore how storage infrastructure can help you manage costs and avoid surprises, even when deploying to edge devices. Mastering Scalability: Real-time inference, diverse data, and ever-changing models push scalability to the limit. We'll discuss how to build an AI-ready data architecture that avoids over-provisioning and delivers performance at scale.
Key Discussion Areas:
- Cloud vs. On-Premises for AI: Understand the cost and flexibility trade-offs and how to allocate resources effectively.
- Data Quality & Scalability: Learn how to prepare your data for AI success and avoid scalability bottlenecks.
- Model Efficiency vs. Performance: Find the right balance and explore techniques like compression and pruning.
- Optimized Inference: Minimize latency and maximize throughput with the proper storage solutions.
Moderator: Lachlan Colquhoun, ANZ Editor, CDOTrends
Panelists:
Matthew Oostveen, Chief Technology Officer, Asia Pacific & Japan, Pure Storage
Allan Song, Executive Director and Head, Strategy & Transformation, FSS, Financial Markets, Standard Chartered Bank
Jin Xin, Head of Data Science and Analytics, Alexandra Hospital, NUHS
