AI in Engineering

Manufacturers in automotive, aerospace, and industrial equipment face increasing complexity in requirements engineering. Manual extraction, classification, and mapping of requirements slow down R&D, increase costs and lead to compliance risks.

NTT DATA is offering a 3 Month “AI Use Case Experience” with a three steps approach: Discovery, implementation and evaluation of use cases.

1. Discovery: Activities • Analysis of engineering process and data • Quick assessment of AI maturity • Assessment of use cases and AI potential

2. Design: Activities • Configuration of Azure AI environment • Mapping of use cases to AI services and solution blocks • Data pre-processing and loading

3. Implementation and Use Case of AI POC Activities • Implement use cases as PoCs • Demonstration of use cases and feedback workshops • Evaluation of KPIs

Outcomes for customers: • PoCs for use cases • Evaluation of business value • Recommendation for roadmap • Fixed price for services • Supported by NTT DATA assets • Systems Engineering Copilot as a pre-configured Microsoft Azure OpenAI PoC environment • NTT DATA Use Case Model for AI in Engineering incl. KPIs