Data science, Machine Learning, artificial neural networks, Text Mining, are technologies that are already partly mature in the world of the web, marketing and finance. These technologies have much to contribute to the automotive sector.
Today we associate AI in the automotive sector first and foremost with autonomous cars. But we should not forget that AI in the automotive sector extends far beyond that: engineering, production, supply chain, customer experience, mobility services, after sales service as a few examples.
The automotive sector is still reluctant to introduce the use of AI. Indeed, some obstacles are hindering this technological transformation: age of legacy systems, quality of data, and the lack of appropriate skills in IT teams.
Thanks to a experience and an adaptive infrastructure, Octopeek can enable this technological transformation.
With its Data Preparation and Data Enrichment algorithms, Octopeek enables the automotive industry to overcome the accuracy and data quality issues that are essential for the proper exploitation of Data Science models.
Use case in Automotive industry
Improving vehicle quality
Exploitation of customer feedback during garage repairsREAD MORE
Why Working with Octopeek?
Improve vehicle engineering and assembly processes
Data Science model allows the car manufacturer to diagnose complex problems
Create full-fledged enterprise Data Science applications
Fastest path to insights with Data Storytelling
Start today with Octopeek
Automotive need to move from ad-hoc experimentation with AI to enable everybody within the organization to use it to improve both operational efficiency and deliver business value.
How would you like to increase profitability and decrease costs?Contact us