NTT DATA, a global technology and business services firm, has announced an expanded collaboration with Google Cloud. The partnership aims to accelerate the deployment of agentic AI solutions, built on Gemini Enterprise, for large enterprises, moving them from pilot programs to full-scale operational integration.

The initiative focuses on enabling businesses to redesign processes, operating models, and customer experiences through the application of agentic AI. This collaboration combines Google Cloud’s AI, data, and cloud platform capabilities with NTT DATA’s expertise in consulting, implementation, and managed services.

Strategic Initiatives and Expert Development

Under the expanded partnership, NTT DATA plans to establish a dedicated global Gemini Enterprise practice. This practice will target the certification of 5,000 experts worldwide, supported by joint business planning, technical enablement, and coordinated market investments. The goal is to facilitate faster deployment and deeper adoption of Gemini Enterprise solutions across client operations.

Furthermore, NTT DATA and Google Cloud will co-innovate and develop up to 500 AI agents. These agents are designed for both horizontal and industry-specific enterprise use cases, creating reusable components to accelerate scalable AI adoption. The collaboration will leverage joint engineering teams and a global delivery model to support AI deployments across various sectors, including banking, insurance, manufacturing, and retail.

Enabling Enterprise-Scale AI Solutions

The partnership emphasizes a new model for enterprise AI deployment, integrating platform innovation, engineering depth, and industry-specific expertise. This includes the formation of integrated co-innovation teams, consisting of NTT DATA experts, Google Cloud engineers, and industry domain specialists, who will work directly with clients. These teams are intended to accelerate solution development, support deployments, and address complex technical challenges in real-time, aiming to reduce time-to-value for clients.

Key components of the program include:

* **Industrialized Agent Development and Deployment:** A global factory model combining reusable assets and engineering talent to scale AI agents.
* **Dedicated Joint Engineering and Innovation Teams:** Integrated teams focused on prototyping, producing, and scaling high-value use cases.
* **Sovereign, Secure, and Compliant AI:** Support for sovereign AI deployments to meet data residency, regulatory, and compliance requirements.
* **Pre-built and Industry-Specific Agent Solutions:** A growing catalog of reusable AI agents and accelerators to streamline deployment.

Abhijit Dubey, CEO and Chief AI Officer at [NTT DATA](https://www.nttdata.com/global/en/), stated, “Enterprises need a practical way to scale AI adoption, strengthen governance, enable their workforce and create measurable business value. This expanded partnership with Google Cloud and NTT DATA is helping clients move beyond pilots and embed AI into the way their organizations operate, creating a faster and lower-risk path to enterprise-wide transformation.”

Matt Renner, President and Chief Revenue Officer, Google Cloud, added, “We are seeing massive demand for AI agents that can fundamentally transform core business workflows. This expanded partnership combines Google Cloud’s leading AI platform with NTT DATA’s delivery strength. By developing hundreds of agents and training thousands of experts, NTT DATA is ensuring our joint customers have the specialized resources required to deploy sophisticated AI solutions at a global scale.”

Industry analysis, including a recent NTT DATA client survey, indicates that 99% of enterprises believe AI is driving increased demand for cloud investment. However, 88% also report that current cloud investment levels may risk AI, cloud-native, and modernization initiatives. The expanded collaboration aims to bridge this gap by aligning AI ambitions with the necessary scalable and secure cloud infrastructure. For more information on broader industry developments in AI and cloud technology, readers can explore the resources available at [TechnoSports](https://technosports.co.in/).