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Analytics and Artificial Intelligence

for the Automotive Industry

Leverage the transformative potential of your data with artificial intelligence

Mega trends, including electromobility, the rise of software-defined vehicles, escalating cost pressures, and a focus on sustainability, are fundamentally transforming the automotive industry. The impact involves increasingly intricate business processes alongside a substantial increase in data volumes.

Capitalize on the opportunities presented by the abundance of data to explore new possibilities for individual products and services, with artificial intelligence (AI) leading the way. By employing sophisticated data analysis and interpretation techniques, AI creates entirely new opportunities for innovation and the optimization of processes.

Explore particular use cases and allow us to assist you in the development and implementation of your AI project, guiding you from the conception stage to the final implementation.

 

The potential of AI for the automotive industry

  • Increase in overall company efficiency
  • Development of new business models and products
  • Development of data ecosystems
  • Agile adaptation and extensive automation of processes
  • Faster time-to-market
  • Personalization of products and services
  • Achieving proficiency in handling extensive, unstructured data volumes

Your contact

Dragan Sunjka

Lead IT Consultant Automotive & Manufacturing

Our methodological and technological expertise

Our portfolio of AI services is tailored to address the evolving needs of the automotive sector and to support you on your journey towards an innovative future. With msg and our unique AI methodology and technological expertise, we stand ready to support you as a reliable partner in your AI projects.

 

AI technologies & application areas

Our AI service portfolio comprises three central application areas: Automation AI is designed to optimize your processes and interaction, Analytical AI provides comprehensive analyses and accurate forecasts, while Generative AI is utilized to produce and augment content.

 

AI technologies & application areas


 

  • Process Optimization: Development data-centric approaches for product innovation and optimization, alongside the implementation of automated quality control systems that allow for real-time adjustments to achieve cost efficiencies
     
  • Virtual Assistants: Personalization of customer interaction within the IT and HMI (Human Machine Interface) landscape to enhance individual user experiences

  • Pattern Recognition: Use of advanced analytics enables more accurate business decision-making by leveraging data mining, self-service analytics, and generative business intelligence
     
  • Anomaly Detection: Identifying patterns, trends, and anomalies within extensive historical data sets, such as for the purposes of root cause analysis and quality assurance
     
  • Predictive Modeling: Development of predictive models for sales, demand, and capacity planning

  • Knowledge Interaction: The utilization of large language models, along with specialized explanation techniques, enables highly accurate access to information within text documents, thereby enhancing trustworthiness
     
  • Content Creation: Optimization of the software development process by using (customized) AI coding assistants
     
  • Transformation: Custom-designed Generative Artificial Intelligence (GenAI) for organizations that optimizes the synergy between human intelligence and AI technologies

 

 

Consulting and implementation provided from a single source – six methodological modules for your AI project

The implementation of AI solutions represents a transformative change process that necessitates strategic planning at every level of the organization. msg’s experts provide extensive assistance for every facet of the development and execution of an end-to-end solution.

 

  1. Data & AI Consulting: We offer workshops and assessments focused on AI, assist in developing data and AI strategies, facilitate the creation of centers of excellence, formulate AI roadmaps, and implement training initiatives.
     
  2. Data Analysis: We define the essential criteria for AI-driven solutions, which encompass data engineering, data quality assessments, ROI analyses, and the prioritization of use cases.
     
  3. Model Training & Customization: Utilizing machine learning techniques, we perform data analyses, train AI models, and create proofs of concept as well as proofs of value to showcase the effectiveness and advantages of innovative AI methodologies.. We are familiar with and utilize the most effective commercially available and freely accessible pre-trained large language models.
     
  4. Big Data Engineering: We guarantee the security and scalability of your data pipelines, as well as your batch and streaming architectures.
     
  5. Operations & Monitoring: Regarding BizDevOps, we manage every facet of the implementation and ongoing enhancement of AI-driven solutions, encompassing everything from the initial concept to the development of the minimum viable product (MVP) and subsequent optimization efforts.
     
  6.  Regulation Consulting: We assist you in the creation of the necessary abilities and in the implementation of regulatory requirements, including the EU AI Act, Data Act and GDPR

Use of GenAI in the automotive industry

msg conducted a survey among German companies across five industries to assess their current utilization of generative AI, revealing intriguing insights specifically for the automotive industry.

Download the survey at no cost and discover the ongoing challenges associated with the utilization of GenAI, as well as identify the areas where significant application potential remains untapped.

 

Download now

AI reference projects and success stories

Reference

Explore how MSG uses reinforcement learning on systems of record to optimize operations. Discover innovative AI solutions for your business today!

Referenz

Das Design des Exterieurs und Interieurs, die Motorisierung und der Komfort eines Fahrzeugs gelten vielen Kaufinteressenten als wichtige Entscheidungskriterien für den Kauf eines Neu- oder Gebrauchtwagens. Während elektronische Komponenten bereits seit mehreren Jahrzehnten feste Bestandteile sind, nahm der Anteil von Software am Verkaufswert eines Fahrzeugs in Form von Fahrassistenz-​, Infotainment-​ und weiteren Systemen erst mit der Jahrtausendwende enorm zu.

Referenz

Optimize lens quality with our AI-driven imperfection recognition solutions, ensuring high precision and reducing defect rates in production.

Referenz

Ziel der Bedarfsprognose ist es, über eine integrierte Auftrags-​ und Teileprognose über Nacht einen qualitativ besseren Teilebedarf zu prognostizieren

Our partners

 

 

Discover the entire AI Portfolio now.