Artificial Intelligence
NVIDIA GTC 2026: Enterprises Are Looking for Scalability and ROI When Deploying AI
At last year’s NVIDIA GTC event, conversations around artificial intelligence still seemed largely theoretical or aspirational — at least at the enterprise level. But at NVIDIA GTC 2026, the tone has shifted. Having deployed use cases across their organizations, enterprise IT leaders are now looking to scale up. And they’re learning — as NVIDIA president and CEO Jensen Huang has said — that AI can generate revenue just as well as it cuts costs. So, the question becomes: How does your organization quantify a successful ROI for its AI initiatives?
IT and business leaders from tech companies including CDW, Hitachi Vantara, Hewlett Packard Enterprise, IBM, Lenovo, Schneider Electric and VAST Data shared their thoughts on where enterprises go from here with AI. Many of them have new offerings designed to simplify that journey for their customers, and they’re all pursuing the same goal: a simplified path forward to deliver value from the promise of AI.
To learn more about NVIDIA GTC 2026, visit our conference page.
Participants
Kevin Kaiser, Senior Director of Artificial Intelligence and Emerging Technologies Practice, CDW
Jim Simonelli, Senior Vice President and CTO, Secure Power Division, Schneider Electric
Octavian Tanase, Chief Product Officer, Hitachi Ventara
Sam Werner, General Manager, IBM Storage
Robert Daigle, Director, Global AI Business, Lenovo
Dale Brown, Global Head of Growth for AI Solution Sales, Hewlett Packard Enterprise
Phil Manez, Vice President of GTM Execution, VAST Data
Video Highlights
- Octavian Tanase of Hitachi Vantara cautioned that organizations should be careful not to treat security as an afterthought when looking to scale existing solutions.
- Sam Werner of IBM Storage warned against making too many copies of your organization’s data, or the data will become stale and dependent applications can lose value.
- When it comes to defining success with AI, Kevin Kaiser of CDW noted that it’s important to consider both productivity and the value of innovation.
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