Lynn Lucas & Phil Goodwin | Pure Accelerate 2026

In this interview from Pure Accelerate 2026, Lynn Lucas, chief marketing officer of Everpure, joins Phil Goodwin, research vice president of multicloud data management and protection at IDC, to talk with theCUBE's Christophe Bertrand and Alison Kosik about how enterprise storage is being repositioned as an active data intelligence platform for the AI era. The rebranding from Pure Storage to Everpure — a name combining "Pure" and "Evergreen" — signals the company's expansion from storage into data management and data intelligence. Lucas explains that with "storage" in the company name potentially limiting appeal to new audiences including chief data officers and chief AI officers, the rebrand reflects a broader platform ambition while maintaining full commitment to storage innovation. Goodwin frames the market context, noting IDC research identifies governance, data access and high-performance storage as the three leading barriers to AI success — all areas Everpure is now directly targeting. The conversation also explores the practical barriers standing between AI experimentation and production results. Goodwin cites IDC data showing that 54% of AI projects never reach production, representing zero return on investment, with governance identified as the single biggest failure point. Lucas and Goodwin both underscore that Everpure Data Intelligence is designed to address this gap by providing a control layer for classifying, locating and governing data regardless of whether it resides in the cloud, on premises or across third-party environments. The discussion turns to the expanding set of personas Everpure now engages — from infrastructure and security teams to chief data officers and line-of-business leaders — with AI serving as the forcing function pulling historically siloed roles into alignment. Goodwin notes that IDC research found data scientists spend roughly half their time waiting on IT tasks to complete, underscoring the urgency of modernizing the underlying infrastructure. From the rare decision to rebrand a billion-dollar business to the dual imperative of AI-ready data and AI-ready infrastructure, Lucas and Goodwin provide a clear roadmap for how enterprises can close the gap between AI ambition and production outcomes. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Charting a Dynamic Future: Pure Accelerate 2026 03:31 - Decoding AI: Insights, Challenges, and the Role of Data 05:40 - Strategic Data Management and Intelligent Integration 08:44 - Navigating Multiple Personas 10:56 - Executive Insights and Market Reflections 13:15 - Conclusion and Closing Remarks #theCUBE #PureAccelerate #theCUBEresearch #Everpure #IDC #AI #DataIntelligence