NTT DATA powers 5 source-linked AI deployments documented in AIUseCaseHub, across 4 industries and 5 countries. Documented deployments include AI agents, copilots, RAG.
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Use Cases
5
Industries
4
Countries
5
Agent Cases
2
Hyperscaler mix
Filter NTT DATA's implementations by cloud provider evidence.
How NTT DATA builds AIBuild, Buy & Compose — what they mean
Continental developed an AI-based Requirements Engineering tool using Microsoft Azure AI Services to automate and accelerate the analysis of specification documents and assignment of project tasks. This solution enables faster, more efficient product development workflows, reducing time and manual effort by up to 80%. Continental collaborated with Microsoft and NTT DATA to tailor the automation to sector needs. The project won the Microsoft Intelligent Manufacturing Award for its transformative impact in German industry, and it exemplifies the innovation possible with AI-powered automation within automotive manufacturing.
The UK Crown Prosecution Service (CPS) partnered with NTT DATA to deploy a generative AI-based 'Case Explorer' system to automate and enhance the legal document review process. Leveraging Microsoft Azure OpenAI technology and Microsoft 365 Copilot, the solution addressed the challenge of handling vast volumes of legal documents that can extend to thousands of pages for a single case. This RAG-powered, agentic workflow system intelligently surfaces the most critical information, improving the speed, accuracy, and efficiency of reviews by legal professionals. This real-world implementation delivered notable productivity gains, transforming previously manual, time-consuming legal procedures at the CPS.
VavaCars collaborated with NTT DATA to launch Türkiye's first Microsoft Azure OpenAI implementation aimed at transforming customer engagement in the automotive sector.Following a detailed analysis of VavaCars’ business objectives, the company implemented an AI-powered chatbot on its website.The chatbot automates the previously manual customer feedback process and now provides 24/7 personalized vehicle recommendations.This automation has significantly reduced the workload for the customer service team.As a result, operational efficiency and customer satisfaction have increased.VavaCars' approach signals an intention to continue leveraging AI to perfect its customer experience.The project demonstrates tangible impacts for both employees and customers in automotive sales and after-sales processes.
Rome city authorities worked with NTT DATA and Microsoft to implement Julia, a virtual AI-enabled tour guide powered by Azure OpenAI Service.Visitors converse with Julia to receive specific answers based on their tourism questions rather than only popular generic answers.
Almirall, a leading pharmaceutical company, faced significant challenges in manually reviewing medical research papers to extract relevant information, resulting in a time-consuming and error-prone process.NTT DATA designed and implemented a platform for Almirall that leverages Microsoft Azure OpenAI Service to provide advanced question-answering and semantic search capabilities for medical literature.The platform automates the extraction of pertinent data, enabling researchers to ask scientific questions and get accurate answers from a vast array of real-world evidence papers.By pre-processing and indexing research articles and automating spreadsheet data population, Almirall's research teams benefit from much faster data retrieval and significantly reduced human errors.Azure OpenAI models used in the solution reach over 90% accuracy in responses, modernizing how pharmaceutical knowledge is managed and driving industry transformation.Almirall’s partnership with NTT DATA and Microsoft not only supports advanced research but also positions the company as a leader in digital health innovation.The collaboration demonstrates the substantial value of integrating AI and cloud solutions in pharmaceutical research for global competitiveness.