
Jeniece Wnorowski is the Head of Influencer Marketing for Solidigm. She has over 17 years’ experience in marketing, sales, and business development. She has 12 years’ experience in the data storage industry. In her spare time she enjoys spending time with her family, being outdoors and photography. Jeniece is a host on the TechArena Data Insights series podcast.
Featured content
Rafay’s Haseeb Budhani on Building the Future of AI Infrastructure
Haseeb Budhani, Co-Founder of Rafay, shares how his team is helping enterprises scale AI infrastructure across the globe, and why he believes we’re still in the early innings of adoption.
From AI Infra: AI Strategy, Security, & Human Impact with Daniel Wu
Direct from AI Infra 2025, AI Expert & Author Daniel Wu shares how organizations build trustworthy systems—bridging academia and industry with governance and security for lasting impact.
AI Ops & Autonomous Networks: The Future of Telecom
In this Data Insights episode, Andrew De La Torre discusses how Oracle is leveraging AIOps to enable automation and optimize operations, transforming the future of telecom.
How Verge.io is Rethinking Compute, Storage & AI Readiness
Tune in to our latest episode of In the Arena to discover how Verge.io’s unified infrastructure platform simplifies IT management, boosts efficiency, & prepares data centers for the AI-driven future.
How AI-Optimized Storage is Eliminating Data Bottlenecks
Join us on Data Insights as Mark Klarzynski from PEAK:AIO explores how high-performance AI storage is driving innovation in conservation, healthcare, and edge computing for a sustainable future.
OCP Insights with Scott Shadley: AI, Collaboration & Storage
Join Allyson Klein and Jeniece Wnorowski in this episode of Data Insights as they discuss key takeaways from the 2024 OCP Summit with Scott Shadley, focusing on AI advancements and storage innovations.
Inside AMD’s Vision for AI and Data Center Evolution
In this episode of Data Insights by Solidigm, Ravi Kuppuswamy of AMD unpacks the company’s innovations in data center computing and how they adapt to AI demands while supporting traditional workloads.