Building high-performance AI data pipelines, a conversation with F5 and Futuriom

Enterprise AI success now hinges less on novel models and more on data quality, orchestration, and throughput. Drawing on Futuriom’s latest market analysis, this session explains the end-to-end “data chain of command”—from collection and extraction to chunking, embeddings, vectorization, and indexing—and why no single platform covers it all.

Then we’ll show how F5’s solutions for AI data delivery improve training, fine-tuning, and RAG resiliency and security by optimizing how data moves from storage to GPUs—improving throughput, performance, and security across hybrid multicloud environments.

Featuring Scott Raynovich on key findings from Futuriom’s Data Management in the Age of AI, and F5’s Joel Moses, VP, Strategic Engineering and Distinguished Engineer, on the practical architectures and integrations that make AI data pipelines perform at scale.

This is the first part of our four-part series on Modern Strategies for Secure, Scalable, and Programmable Data Delivery.

• Part 2: Distributed Data Transport and Endpoint Resilience for AI Pipelines — May 14, 2026 at 1pm ET/10am PT
• Part 3: Programmable Traffic Management and Intelligent Integration for AI Workloads— June 11, 2026 at 1pm ET/10am PT
• Part 4: Powering Advanced Al Data Delivery: How F5 and Scality Eliminate Storage Bottlenecks at Scale— July 16, 2026 at 1pm ET/10am PT