Enterprise AI Will Fail Without a Dedicated Data Strategy

About this episode

The episode discusses the importance of a dedicated data strategy for AI infrastructure and the industry's shift towards transaction-heavy workloads.

Learn more about AI Infrastructure Field Day 5 here . Think your expensive GPUs are the biggest factor in AI performance? Think again. Without a high-performance data storage strategy to keep them supplied with data, your AI infrastructure can become an expensive machine sitting idle. In this episode of the Tech Field Day Podcast, host Alastair Cooke is joined by industry experts Barton George and Ron Pagani Jr. to discuss the industry’s shift from data-intensive AI training to fast, transaction-heavy inference workloads and how data gravity is forcing organizations to rethink where they place data, caches, and compute resources. They also examine rising DRAM and SSD costs, the challenges of deploying Small Language Models (SLMs) at the edge, and the growing need for security and governance as autonomous AI agents become more common in enterprise environments. Panelists: Barton George , Founder of 808 Labs Ron Pagani Jr. , Founder of Open Technology Partners Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , Event Lead for Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , Event Lead at Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , President and Organizer of…

People in this episode

Host: Alastair Cooke

Guests: Barton George, Ron Pagani Jr.

Topics covered

• AI infrastructure
• data strategy
• data-intensive AI training
• transaction-heavy inference workloads
• data gravity
• security and governance
• autonomous AI agents

Keywords

• AI performance
• data storage strategy
• DRAM costs
• SSD costs
• Small Language Models
• edge computing
• enterprise AI

Mentioned in this episode

Organizations: Tech Field Day, 808 Labs, Open Technology Partners

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