A New Era in Data Storage for Machine Learning and AI Ecosystems
As enterprises transition their Business Intelligence and Analytics environments to Machine Learning and Artificial Intelligence driven ecosystems, their core data infrastructure has to scale. Focusing only on the compute layers, creates a highly inefficient infrastructure. Vexata with its VX-OS version 3.5 release brings to market transformative economics and breakthrough performance to power these next-generation workloads at scale.
You will learn about:
- How to scale core data infrastructures for the transition to Machine Learning and Artificial Intelligence workloads
- What are the key considerations before creating an AI/ML-centric storage infrastructure
- How Vexata’s new VX-OS version 3.5 release addresses these challenges
As CMO for Vexata, Ashish heads up Product Management, Marketing and Alliances. Most recently Ashish was VP of Marketing for Springpath, a Sequoia Capital company, where he successful launched the company from stealth leading to the strategic relationship with Cisco Systems. Ashish holds an MBA from Santa Clara University, MSEE from SJSU and BSEE from the University of Michigan, Ann Arbor.