Agentic Data Platforms
Articles on unified data foundations, metadata governance, MDM, and context catalogs that enable AI agents to operate safely and effectively in production.
Multi-Hypervisor Flexibility for Agentic Data Platforms: Veeam 13.1
Veeam Data Platform 13.1 adds support for six new hypervisors—including Red Hat OpenShift, Sangfor aSV, and XCP-ng—as VMware customers evaluate alternative infrastructure.
Data Fragmentation Stalls Enterprise AI: How Scattered Training Sets Block GPU Utilization
Analysis of how data fragmentation—training datasets scattered across departments, sites, and clouds—creates a critical bottleneck for enterprises building AI infrastructure, leaving expensive GPUs idle while pipelines wait on data access.
How ZoomInfo’s Zapier API Expansion Signals the Next Era of Agentic Data Platforms
ZoomInfo opened its API to all customer tiers, unlocking native Zapier automation across 7,000 mutual accounts and expanding its GTM.AI context graph ecosystem.
Beyond the GPU: Solving the Hidden Data Delivery Crisis in Enterprise AI
Explores how enterprise AI is shifting from compute-focused investments to optimizing data delivery infrastructure, revealing that hidden bottlenecks—not GPU shortages—are often the true limiter for scalability and ROI.
The Best in Scaling: Real Signals from the Foundation and Scale Stages
Founders and investors at TechCrunch Founder Summit 2026 revealed that real scaling isn’t about growth hacks—it’s about building agentic data platforms that make AI reliable.
DeepSeek’s 75% Cut and the 100x Problem: A Reckoning for AI Developer Tools, Startups, and India’s Investment Landscape
Analysis of DeepSeek’s pricing cut, the ‘100x’ agentic token amplification risk, and how Indian AI infrastructure and investment strategies are adapting.
Engineering Trust: Why Agentic Data Platforms Need Data Observability Beyond the Context Layer
In this article, we challenge the pervasive notion that AI agent hallucinations are purely a model or context-layer issue. Instead, we argue that the root cause lies in fragile data engineering pipelines, proposing a rigorous data observability framework to ensure reliability in agentic data platforms.
Beyond the Cleanup Trap: Engineering Resilient Agentic Data Platforms
Explores the 'Cleanup Trap' in enterprise AI, where organizations rely on RAG to fix poor-quality data. Advocates for treating agentic data platforms with rigorous engineering, structural validation, and transport-level governance.
AI Developer Tools Startups India Investments vs. the Physical World: Inside Native’s African Acquisition
An analysis of Native's acquisition of Frontline Research Group to integrate regional market share panels in 14 African countries with physical-store AI agents, transforming offline trade analytics.
Block's Open-Source Buzz Platform Puts AI Agents and Humans in the Same Team Chat Room
Jack Dorsey's payments company Block has launched Buzz, a self-hostable, open-source workspace where AI agents share channels, code repos, and workflows alongside human teammates — positioning itself as a model-agnostic alternative to Slack and GitHub.
Agentic Data Platforms Are the Missing Layer Between AI Agents and Enterprise Reality
As companies deploy AI agents across scattered data landscapes, agentic data platforms emerge as the connective tissue that gives agents trusted access to structured and unstructured sources, shared business context, and governed guardrails—making the difference between agents that hallucinate and agents that act.
AI Infrastructure in 2026: Chips, Clusters, and a New Kind of Datacenter Reality
Forget the hype—here’s how AI actually runs today: heterogeneous clusters, memory walls being busted, and floating server farms. A no-BS look at the hardware crunch reshaping infrastructure.