Rob Strechay, until recently managing director and principal analyst at theCUBE Research, has joined VentureBeat as the publication’s first Lead Analyst and a founding analyst of VentureBeat Research. His hiring is part of a deliberate shift at VentureBeat toward deeper, specialist analysis aimed at technical decision-makers — directors, VPs, CIOs and CTOs — who are evaluating, purchasing, and deploying enterprise AI.
Why this matters now
The enterprise AI stack is being rewritten in real time, and technology leaders need objective, defensible data. As organizations move from generative AI experimentation to production deployments, they face concrete questions about orchestrating multi-vendor environments, identifying security gaps in agentic pipelines, and addressing utilization issues that drive infrastructure costs. VentureBeat says its expanded research offering is designed to fill that depth gap beyond standard news coverage.
Practitioner experience and analyst background
Strechay brings nearly three decades of experience as a practitioner, product executive, and industry analyst. Before his analyst roles he held executive positions at several startups, including Zerto; he joined Amazon Web Services to help build a new analytics service; and he held executive roles across enterprise infrastructure. As an analyst he worked at Enterprise Strategy Group and most recently served as managing director and principal analyst at theCUBE Research and SiliconANGLE, where he conducted executive interviews and analyzed the evolution of cloud, data, and AI infrastructure.
Coverage focus
Initially, Strechay will concentrate on cloud infrastructure, advanced data infrastructure, platform engineering and DevOps orchestration and observability, and the intersection points where AI and enterprise security collide.
Current contributions: GPU utilization and VB Pulse surveys
Strechay has already contributed to VentureBeat’s research output. In May he published an analysis of enterprise GPU utilization that examined compute waste inside enterprise AI infrastructure. He also provided a substantive review of VentureBeat’s "AI Infrastructure & Compute" survey before it went into the field.
This infrastructure-level focus complements VentureBeat’s monthly VB Pulse surveys, which track five areas of enterprise AI adoption: agentic orchestration, agent reliability and evals, agentic security and identity, AI infrastructure and compute, and context layers including retrieval-augmented generation (RAG).
VentureBeat’s June report on agentic orchestration, based on responses from 145 enterprises, found that two-thirds of those organizations had hedged their model strategy rather than committing to a single provider — a posture whose value was highlighted by the June outage of Anthropic’s Claude models.
VB In Conversation: a vehicle for deeper technical interviews
A central channel for the expanded research will be a deepening of VentureBeat’s VB In Conversation video interview series, which Strechay will host. The series aims to move beyond high-level industry overviews to reveal architectural designs, real deployment barriers, and back-end infrastructure realities through in-depth technical interviews with the architects and product leaders behind leading enterprise AI systems — presenting how tools behave under production-grade pressure.
Strechay commented: "VentureBeat has built an audience of enterprise builders and technology buyers that any analyst would want to serve. My goal is to use deep empirical metrics and VentureBeat's proprietary tracking data to help enterprise buyers and the people building for them make sound platform and infrastructure decisions during the most disruptive transition enterprise technology has seen."
The expanded VB In Conversation series will appear on VentureBeat and on VentureBeat’s YouTube channel, alongside Strechay’s written analysis on the site. Enterprise practitioners who want to participate in the monthly VB Pulse surveys or arrange an analyst briefing with Rob Strechay can contact VentureBeat’s research team.
