-
Featured services
Harness innovation to deliver value
Ensure short-term stability as you design a roadmap for new use cases in your industry with emerging technologies.
Explore Connected Industries -
Services
Nutzen Sie unsere Fähigkeiten, um die Transformation Ihres Unternehmens zu beschleunigen.
-
Services
Network-as-a-Service
Beliebte Produkte
-
Private 5G
Unser Cloud-nativer Secure-by-Design-Ansatz gewährleistet eine 24/7-Überwachung durch unsere Global Operations Centers, die Ihre Netzwerke und Geräte auf einer „As-a-Service“-Basis verwalten.
-
Verwaltete Campus-Netzwerke
Unsere Managed Campus Networks Services transformieren Campusnetzwerke, Unternehmensnetzwerke sowie miteinander verbundene lokale Netzwerke und vernetzen intelligente Orte und Branchen.
-
-
Services
Cloud Services
-
Client stories
-
Penske Entertainment und die NTT INDYCAR SERIES
Gemeinsam mit Penske Entertainment liefern wir digitale Innovationen für ihre Unternehmen, darunter INDYCAR, die Genehmigungsbehörde der NTT INDYCAR SERIES, und Veranstaltungsorte wie der legendäre Indianapolis Motor Speedway, die Heimstätte eines der berühmtesten Sportereignisse der Welt, des Indianapolis 500.
-
NTT and Schneider Electric join forces to power IOT environments
Our combined capabilities enable a secure, end-to-end digital on-premises platform that supports different industries with the benefits of private 5G.
-
-
Services
Technology Solutions
Client stories
-
Services
Global Data Centers
-
Services
Digital Collaboration
IDC MarketScape: Anbieterbewertung für Rechenzentrumsservices weltweit 2023
Wir glauben, dass Marktführer zu sein eine weitere Bestätigung unseres umfassenden Angebotes im Bereich Rechenzentren ist.
Holen Sie sich den IDC MarketScape -
-
Erkenntnisse
Erfahren Sie, wie die Technologie Unternehmen, die Industrie und die Gesellschaft prägt.
Copilot für Microsoft 365
Jeder kann mit einem leistungsstarken KI-Tool für die tägliche Arbeit intelligenter arbeiten.
Copilot noch heute entdecken -
Lösungen
Wir helfen Ihnen dabei, den Anforderungen an kontinuierliche Innovation und Transformation gerecht zu werden
NTT DATA von Gartner als ein Marktführer eingestuft
NTT DATA ist einer von 17 globalen Anbietern von Managed Network Services, die im Gartner® Magic Quadrant™ Managed Network Services 2023 aufgeführt sind.
Holen Sie sich den Gartner-Report -
Erfahren Sie, wie wir Ihre Geschäftstransformation beschleunigen können
-
Über uns
Neueste Kundenberichte
-
Liantis
Im Laufe der Zeit hatte Liantis, ein etabliertes HR-Unternehmen in Belgien, Dateninseln und isolierte Lösungen als Teil seines Legacysystems aufgebaut.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
-
-
Neueste Kundenberichte
-
Liantis
Im Laufe der Zeit hatte Liantis, ein etabliertes HR-Unternehmen in Belgien, Dateninseln und isolierte Lösungen als Teil seines Legacysystems aufgebaut.
-
Randstad
We ensured that Randstad’s migration to Genesys Cloud CX had no impact on availability, ensuring an exceptional user experience for clients and talent.
-
-
NTT DATA und HEINEKEN
HEINEKEN revolutioniert die Mitarbeitererfahrung und die Zusammenarbeit mit einem hybriden Arbeitsplatzmodell.
Lesen Sie die Geschichte von HEINEKEN -
- Karriere
Topics in this article
Private 5G, edge computing, digital twins, AI and automation: these have been some of the most talked about technology trends for automotive manufacturers and their suppliers at top industry fairs this year, including the Mobile World Congress (MWC) and Hannover Messe.
Here are some of our observations on how these technologies can improve connectivity for vehicle users and optimize the production process across the automotive value chain in 2023 and beyond.
The case for connectivity – on and off the road
Connectivity is becoming increasingly important in the automotive industry as original equipment manufacturers strive to create seamless integrations between cars, drivers and the environment.
Several innovations on display at MWC and Hannover Messe would help to improve connectivity for vehicle users. Unsurprisingly, 5G was front and center in this conversation.
5G technology offers faster data speeds and lower latency, which means drivers can access real-time information more quickly and reliably. On the road, this technology could have a profound impact on autonomous vehicles, which require a constant stream of data to make real-time decisions.
Although the widespread adoption of 5G on the road is perhaps a way off, exciting use cases are emerging off the road and in production facilities where private 5G networks can be established.
I moderated an automotive roundtable at MWC where we heard about a proof-of-concept project for automated valet parking. The infrastructure-based solution – codeveloped by NTT DATA, French automotive supplier Valeo and decision-making software provider Embotech – has few requirements on the vehicle side, as it guides the vehicle to a dedicated parking spot by using sensors, connectivity (such as private 5G) and off-board computing.
The initial pilot project focuses on ways of helping car manufacturers make their assembly lines more efficient by automatically guiding vehicles from one production station to another. The completed vehicles are then guided from the end of the assembly line to dedicated spots in large launch areas.
The outcome is a more efficient assembly line, with time and cost savings. Other potential use cases include depot management for fleet or rental-vehicle operators, and automated valet services for parking operators at retail outlets, airports and other large public spaces.
The rise and value of edge computing
Another significant connectivity trend discussed at these trade shows was the rise of edge computing, which enables true real-time automation and data processing at the edge of a network.
Combined, edge computing and 5G will pave the way for connected cars and lead to the development of new use cases that will have major implications for organizations along the entire automotive value chain.
McKinsey estimates the total value created by connected-car use cases will increase to more than USD 550 billion by 2030 from about USD 64 billion in 2020. In the same period, the portion of value created by 5G and edge computing in the overall automotive value chain is forecast to increase from 5% to 30%.
Optimizing the production process
In addition to improved connectivity for vehicle users, there was a strong focus at both trade shows on how organizations across the automotive value chain can use technology to optimize their production processes.
One prominent solution is digital twin technology, which uses data from sensors and other sources to create virtual representations of physical objects, such as cars.
These virtual models can then be used to lower the risk of errors, reduce waste and improve efficiency. For example, a digital twin of a car can be used to simulate the assembly process, allowing the manufacturer to address potential issues even before production begins.
The latest developments in augmented reality (AR) technology also hold great potential for optimizing automotive production processes. We were shown how AR can be used in training: by overlaying virtual objects onto the real world and allowing users to interact with them, workers or trainees can be given real-time information and guidance.
For example, a worker can use AR glasses to overlay a virtual blueprint onto a physical car, then get step-by-step instructions on how to assemble the car correctly. This technology can reduce the need for lengthy training processes and improve efficiency on the production line.
Topics in this article
See how Hirschmann Automotive uses AR to modernize maintenance
Training was another key topic discussed during our automotive roundtable, where BMW shared insights about the BMW Innovation Hub, developed with NTT, Intel and Microsoft, has supported the professional development of apprentices and students in their business.
At the Innovation Hub, located in the vocational training center at BMW’s Dingolfing plant in Germany, students are exposed to a range of IT-related subjects and can quickly specialize in those relevant to BMW as part of their vocational training or while working on a master’s thesis, for example.
With AI, the road is wide open
In recent months, new AI tools have dominated headlines. It was therefore no surprise that the topic also came up at Hannover Messe and MWC. There is plenty of scope for AI-based data analysis and machine learning to have a significant effect all along the automotive value chain.
A compelling current use case for AI is to monitor the performance of machines on a production line and identify potential issues before they become more significant and lead to catastrophic downtime. According to a Siemens report, the cost of a lost hour in the automotive sector is valued at up to USD 2 million. So, a solution that enables proactive maintenance of critical machinery has the potential for a rapid return on investment.
We have just started scratching the surface of AI, and we’ll soon see many new use cases covering all aspects of the automotive industry: design, smart production, maintenance and service, sophisticated analytics, and the end-to-end user or driver experience, all the way from presales to postsales.
The horizon, it seems, is endless.