Thomas Godwin
Latest from Thomas Godwin
Nutanix and AMD build enterprise AI stack to take agents from pilot to production
Enterprise AI ambition is far outpacing the readiness of the enterprise AI stack, and the growing rift between proof-of-concept deployments and production-scale agent operations is where most organizations are grounded. Closing that rift is the fundamental basis of the partnership between Nutanix and AMD, according to Suresh Andani (pictured, right), chief corporate vice president of compute ...
DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer
The race to build AI factories is well underway, and the winning organizations have learned that AI data infrastructure determines whether or not GPU investments pay off, while others are still scrambling to assemble workable solutions. That divide is the clearest indicator from the field, said Alex Bouzari (pictured), chairman, co-founder and chief executive officer of ...
Everpure launches Enterprise Data Cloud Blueprint to improve AI returns
Fragmented data, siloed infrastructure and reactive portfolios are problems that every enterprise has to deal with. Fixing them efficiently requires a completely new operating model — one that the Enterprise Data Cloud is designed to deliver. That need is the basis for Everpure’s new Success Blueprint, according to Stephanie Richardson (pictured), vice president of product ...
Data-ready AI infrastructure begins with trusted data and consultative partnerships
Getting to production-ready AI requires much more than fast storage. Enterprises need data-ready AI infrastructure that’s built on clean, governed and well-understood data before any meaningful deployment can scale. It’s a shift that’s redefining what partners bring to the table, according to Hope Galley (pictured, right), vice president of Americas partner sales at Everpure Inc., and Justin Field (left), ...
Crusoe AI puts energy first to power sustainable AI infrastructure at scale
For Crusoe AI, a sustainable AI infrastructure has always been the founding premise, a welcome alternative amid a surge of antipathy for data centers in local communities. The company takes a vertically integrated, energy-first approach to building AI infrastructure, sourcing power and deploying managed AI services on top of it, according to Omar Lari (pictured), senior ...
Datadog sees tagging and model governance as the foundation of AI cost management
AI cost management is bringing a new taxonomy to FinOps practitioners, but the core discipline — understanding what you’re using, why, and what it costs — remains the same. That constancy is reassuring and instructive, according to Deeja Cruz (pictured), senior FinOps analyst at Datadog Inc. The biggest practical lesson enterprises can carry from cloud ...
AWS launches FinOps agent to bring AI cost governance to cloud spend
AI cost governance is moving to the center of enterprise cloud strategies, and AWS is responding with a new autonomous agent that’s designed to manage the complexity of the change. The FinOps agent, launched in a feature preview at FinOps X 2026, monitors cloud costs, detects anomalies, performs root-cause analysis and routes alerts directly to ...
Why AI FinOps demands new forecasting and real-time governance
AI FinOps is busy rewriting the rules of cloud financial management, systematically dismantling the rulebook it took nearly a decade to write. The shift goes deeper than simple cost optimization, according to Grant Byrum (pictured), North America FinOps lead at Accenture PLC. Where traditional cloud spending aligns with compute, storage and licenses, AI introduces a fundamentally ...
OpenGov and Snowflake build a knowledge graph to unify government data and AI
Government software is facing the same information management crisis as every other enterprise sector, and the knowledge graph is emerging as the architectural answer. Nickhil Tekwani (pictured, second from left), senior manager of applied AI at OpenGov Inc., is building a company-wide knowledge graph on Snowflake Postgres to create a unified context layer. The company ...
Ericsson and Snowflake make the case for unified data
Enterprise AI data strategy is separating the organizations that put AI into production from those that aspire to it. The difference boils down to whether the data foundation was built before AI was deployed. It’s a valuable lesson that resides at the heart of a deepening partnership between Ericsson and Snowflake, according to Elena Fersman ...