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A glimpse into the future of autonomous driving

What technological and legal prerequisites must be fulfilled or must first be established? What can (and must) the automotive and supplier industries do now to set the course for the future – a future that belongs to autonomous driving?

This NTT DATA white paper provides answers to these questions. Our company has had a clear focus on innovative IT solutions for the automotive industry for over half a century. In three scenarios for 2020, 2050, and 2060, we have outlined a series of changes that autonomous driving will entail – for the driver as well as the automotive and supplier industry. We are also focusing on key points such as the complete remodelling of the passenger compartment, the increasing importance of car-sharing, and fundamental changes in aftersales. In addition to the three future scenarios, we will address the fundamental elements of autonomous driving in terms of technology, safety, and legislation.

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94 Results

Title
Location
Topic

PASS Insurance Senior Developer & Technical Leader

Multilocations

Client and Market Management, Industry, Project and Service Management, Software development and QA, Technology Services

Senior Functional Analyst in ambito Pagamenti

Milano

Analysis, Consulting, Strategy and Advisory, Industry, Platform Based Solution, Project and Service Management

Back-end Java Technical Leader

Multilocations

Software development and QA, Technology Services, Cloud

Data Center Engineer

Milano

Infrastructure, Technology Services

Network/Security Implementation Specialist

Milano

Infrastructure, Technology Services

Senior Back-end Java Developer

Multilocations

Software development and QA, Technology Services, Cloud

PASS Insurance Business Analyst

Multilocations

Consulting, Client and Market Management, Industry, Project and Service Management

Azure Data Engineer

Multilocations

Data and Analytics

Data Scientist Senior

Multilocations

Technology Services, Cloud, Data and Analytics, Software development and QA, AI and Machine Learning

Lead Data Architect Azure

Multilocations

Data and Analytics

Lead Data Architect AWS

Multilocations

Data and Analytics

GCP Data Engineer/Data Architect

Multilocations

Data and Analytics

ML Engineer Senior

Multilocations

Technology Services, Cloud, Software development and QA, AI and Machine Learning, Data and Analytics

Senior Data Integration Engineer - Banking

Multilocations

Data and Analytics, Technology Services

Full Stack Developer– AI/GenAI Projects

Multilocations

AI and Machine Learning, Data and Analytics, Technology Services, Cloud, Software development and QA

AWS - Data Architect

Multilocations

Data and Analytics

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