NTT DATA has expanded its collaboration with Google Cloud to help enterprises move AI projects from pilots to production.
The collaboration will use Gemini Enterprise to develop agentic AI solutions.
It will combine Google Cloud’s AI, data and cloud capabilities with NTT DATA’s consulting, implementation and managed services.
NTT DATA will establish a dedicated global Gemini Enterprise practice and aims to certify 5,000 experts worldwide.
The practice will support clients across strategy, deployment, adoption and managed services as they embed AI into business workflows.
The companies also plan to co-develop and deploy up to 500 AI agents for enterprise use cases across banking, insurance, manufacturing, retail, software development, cloud migration, marketing, procurement and finance.
The collaboration will bring together AI-skilled engineers, forward-deployed engineers and industry specialists to work directly with clients on implementation.
The teams will help develop and deploy AI solutions, address technical issues and support wider production adoption.
The programme will include reusable AI agent assets, joint engineering teams and industry-specific accelerators.
It will also support secure and compliant AI deployments, including requirements around data residency, regulation and governance.
Abhijit Dubey, CEO and Chief AI Officer of NTT DATA, said,
“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 organisations operate, creating a faster and lower-risk path to enterprise-wide transformation.”
Matt Renner, President and Chief Revenue Officer of Google Cloud, said,
“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 specialised resources required to deploy sophisticated AI solutions at a global scale.” – FINTECH NEWS MALAYSIA
