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Creating AI driven manufacturing and autonomous driving

The automotive industry is a relative old industry and uses traditional processes to run their business. We believe the automotive is on the edge of transforming into a data-driven and machine driven business. There are many parts of the value chain that can be improved, such as supply chain, manufacturing processes, marketing, monitoring and maintenance. Here you find market developments and opportunities for companies and data scientists.

Possible AI-powered Applications for the automotive industry

AI driven prototyping

Using AI to simulate and test different prototypes, without actually producing the car. This helps reducing the R&D costs.

Sales prediction

Using Machine Learning techniques to predict the sales forecast in different countries, supported by economic, political and meteorological data.

Predictive Maintenance

Reduce manufacturing downtime (e.g., robotic arm failure) with predictive maintenance for equipments and machines.

By producing 100mln motor vehicles every year, the automotive industry contributes 0,8% to the GDP.

The automotive is a massive industry and the production of cars production grows approx. 4% per year.

Key components

Design: create new car designs that are in line with the consumer demans and changing market trends. Prototyping and testing the product. Manufacturing proces: assemble different components to a complete product. Marketing & Sales: attracting the right audience to distribute the products.

Global footprint

Automotive companies have invested $11.2 billion in AI-led startups since 2014. Every year, 100 million cars are produced. 80% of the largest players in the automotive industry say that they use AI in their core strategy. The value of AI in automotive will exceed $10 billion by 2024.

Threats

Aggressive competition, rising fuel prices, new entrants.

What value can bring Data Science & AI to your automotive company?

Data capturing

Using smart cameras, nodes and IoT sensors, you can gather more information about the developments of your goods.

Machine Learning

Using deep learning techniques and image recognition, you automatically convert your data to actionable insights.

Predictive Insights

By creating a data ecosystem and connecting different sources of data, you will be able to generate predictive insights to optimize your value chain.

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