It’s a wrap: News this week (Feb 23–27)

AI momentum this week was less about hype and more about plumbing: partnerships designed to move from pilots to production, infrastructure built for denser compute, government platforms getting AI-ready, and big-ticket deals that show buyers are committing for the long run.

TCS doubles down on enterprise AI rollouts with ServiceNow and GitLab

TCS announced a multi-year partnership with ServiceNow focused on scaling AI-led workflow transformation across back-office functions such as HR, finance, supply chain, procurement, and employee services, with a unified governance model guiding deployment.

It also teamed up with GitLab to bring AI orchestration into enterprise software delivery, centring on GitLab’s Duo Agent Platform to deploy and manage AI agents across the development lifecycle, alongside governance controls meant to keep DevSecOps enterprise-safe as automation rises.

IBM expands state-level AI play with GovTech and a “Swadeshi AI stack” push

IBM inaugurated an AI GovTech Innovation Centre in Lucknow with the Uttar Pradesh government, positioning it as a co-creation hub for AI solutions in citizen services and administrative efficiency.

In Andhra Pradesh, the company is part of a broader plan—along with BharatGen and NxtGen—around a “Swadeshi AI stack” approach aimed at building citizen-facing services with local-language emphasis and sovereign deployment options.

LTIMindtree and NVIDIA take AI into the heart of India’s tax analytics system

LTIMindtree partnered with NVIDIA to modernise the national tax analytics platform of the Central Board of Direct Taxes under the Insight 2.0 programme, using a secure cloud architecture powered by NVIDIA AI infrastructure. The plan includes strengthening data processing, risk assessment, and compliance monitoring, while embedding AI across operational layers for real-time analytics, automated case workflows, targeted campaign management, and AI-led taxpayer support via LTIMindtree’s BlueVerse platform.

Vertiv and Netweb target the AI data center bottleneck

Vertiv and Netweb announced a collaboration to develop and validate liquid-cooled rack solutions where compute, cooling, and power are engineered together to support higher rack densities and faster deployments for AI environments. Netweb said its direct-to-chip cooling approach can support IT loads exceeding 200 kW per rack, a marker of how quickly AI workloads are pushing past conventional data center designs.