A staggering number of AI projects fail before reaching production, and the primary culprit is data. As enterprises re-architect their infrastructure to support generative, agentic, and physical AI across distributed infrastructures, the data layer is emerging as the lynch pin for success.
Learn how to architect a strategic data foundation that increases efficiency using infrastructure you already have, to simplify AI data pipelines, enable AI anywhere across any on-premises and cloud storage, and prepare for a future at a much larger scale.
Room 206
Jeff Echols
With a dynamic 20-year career in enterprise software, Jeff Echols has established himself as a leader in building differentiated solutions, strategic relationships, and driving joint partner success. He is currently the VP of Strategic Partners at Hammerspace, focusing on the company's AI Solutions and go-to-market strategy. His extensive experience spans enterprise and startup environments, including two IPOs and international assignments. Throughout his career at companies like WEKA, Nutanix, and CommVault, Jeff has led sales, product marketing, and corporate strategy teams, contributing to significant revenue growth and market differentiation.
Hammerspace
Website: https://hammerspace.com/
Hammerspace is a high-performance data platform built to simplify AI infrastructure at scale. It makes all your data immediately accessible, anywhere - across on-prem and cloud environments - without copying or migrating data. Hammerspace integrates with your existing storage, networking, and applications to create a unified, high-speed data backbone for AI, accelerating every stage of the AI pipeline while eliminating data silos.
