The automotive industry in Bangalore is on the edge of vast technological transformation and advancement. The market ecosystem of this industry has undergone a huge paradigm. As customer insight into this industry is increasing rapidly, especially in the Indian market, therefore the requirement for digitally effective and sound products is on the rise. The automotive industry has to undergo a huge transformation to meet the rising demand of customers and a few factors like cost volatility, rapid technological transformation, and urbanization are some reasons why this industry is changing its marketplace as well as its operation method. Earn yourself a promising career in data science by enrolling in the Data Science Training in Bangalore offered by 360DigiTMG.
Data science in the automotive industry
With the help of data science, transportation can be accessed easily without incurring huge ownership costs. It is scaling mobility for lower income groups of people and transportation can be used by everyone irrespective of their ability, class, or gender. Optimization logarithms are providing businesses and companies with highly energy-efficient and modern vehicles to work in rural communities such as food delivery or accessories. Data science professionals, data analysis, and data scientists are working closely with engineers to manufacture cars that can help differently-abled individuals to drive vehicles. There are endless use cases and opportunities for data science in the field of automobile industry that are yet to be explored.
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Why use data science in the automobile industry?
The automotive industry in Bangalore is far rich and mature therefore there are numerous opportunities for organizations and companies to use automotive powers and rebuild data. Data scientists work with different types of data across distinct data systems and the majority of them are accustomed to using tabular data which looks like Excel sheets. However, data scientists and the automotive industry have to work with a complex and greater variety of information. In this sector data scientists will extract data from intelligence systems in various forms like sensor point clouds or images etcetera.
Automotive data scientists have to study how autonomous vehicles behave in a particular manner and how they vary from other vehicle models and so for this they make a combination of instrumentation data and point clouds and then join them to a set of the table. More than 150 million data records are processed in the automotive industry in real-time every day. As the volume of information generated from this industry is huge therefore the demand for data scientists in this industry is plenty in number.
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Use cases of data science in the automobile industry
- Product Development
- Brings manufacturing efficiency
- Management of autonomous vehicles
- Sustainability