data infrastructure
data infrastructure on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data infrastructure in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data infrastructure, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research push
VentureBeat significantly expands its enterprise AI research capabilities with the appointment of Rob Strechay as its first Lead Analyst. Strechay, formerly of theCUBE Research, brings three decades of experience across practitioner, executive, and analyst roles, uniquely positioning him to address the critical data needs of technical decision-makers. His focus will initially encompass cloud infrastructure, data infrastructure, and AI security, complementing VentureBeat’s VB Pulse surveys—including recent findings on agentic orchestration—to provide objective insights for navigating the evolving AI landscape.
Meet the startup helping Wall Street put a price on AI compute
The rapid expansion of AI is driving unprecedented demand for compute, now the single largest expense for AI product development—often exceeding hundreds of billions annually. Silicon Data is addressing this critical gap by providing a transparent and actionable way to price and hedge AI compute costs. They’re empowering firms to navigate this evolving landscape with greater financial clarity. For those preparing for the technical side of AI, consider our article, "How to Answer AI System Design Interview Questions," for a framework to tackle design challenges.
Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
Navigating the complexities of modern data architecture—often a tangled "data management hairball"—is essential for realizing the full potential of generative AI. Join Jörg Schad as he explores autonomous data products, acting as self-contained units encompassing pipelines, schemas, and metadata, to build scalable and safe AI architectures. Discover how protocols like MCP enable progressive tool discovery, mitigate context rot, and enforce governance. For further exploration of AI’s impact on productivity, see our recent article, "What if AI isn't the problem anymore?".
Agents think in milliseconds, legacy infrastructure doesn't. LinkedIn, Walmart and Zendesk shared how they closed the gap at VB Transform 2026
Agents operate at lightning speed, but legacy infrastructure often lags behind. A key takeaway from VB Transform 2026 was clear: the real bottleneck in AI agent deployment isn't the models themselves, but rather the underlying infrastructure. LinkedIn, Walmart, and Zendesk shared their experiences navigating this challenge, highlighting the need for a shift from human-centric systems to those optimized for agentic workflows. Discover how these leaders are building for model and context independence to unlock greater productivity and innovation.
'We have maybe 20 months' to rebuild for AI agents, Meta's infrastructure VP tells VB Transform 2026
The shift to agentic AI demands immediate infrastructure transformation. Meta VP of Engineering Barak Yagour, speaking at VB Transform 2026, highlighted a critical timeframe: “We have maybe 20 months to rebuild the whole thing for a world where humans and agents co-create at scale.” Automated traffic now surpasses human traffic, reshaping foundational assumptions about data consumption. Meta is prioritizing agent-aware infrastructure, focusing on dynamic controls, robust identity management, and accelerated data velocity—a flywheel effect driving innovation across agents, data, and recommendations.